CN1697513A - Image processing apparatus and image processing method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a video processing apparatus and a video processing method capable of easily carrying out image quality adjustment while matching a degree of the image quality adjustment with the taste of a user.

Description

Image processing equipment and image processing method

The cross reference of related application

The present invention comprises and two Japanese patent application JP2004-145558s with the 2004-145559 relevant theme of on May 14th, 2004 in the application of Japan Patent office, in this mode with incorporated by reference its full content is incorporated among the application.

Technical field

The present invention relates to image processing equipment and image processing method, and for example compatibly be applied to television receiver.

Background technology

The television receiver of the type from NTSC (national television system committee) vision signal to the conversion with higher resolution and high-definition TV signal more true to nature has for example been proposed and has implemented to allow.

In high-definition signal, the quantity of scan line is 1,125, and it is that the twice of current television system is big, and aspect ratio is 9: 16, and promptly horizontal size is bigger than current television system.

Usually, in television receiver, provide the function of regulating picture quality (such as contrast or acutance) to regulate picture quality to realize required show state to allow the user.

In recent years, one type such television receiver has been proposed, except regulating the picture quality such as contrast or acutance based on single parameter, it also allows to regulate independently a plurality of parameters, keep correlation simultaneously, as regulate the degree of eliminating noise or the situation (for example, referring to Japanese unexamined patent publication No.2002-218413) of resolution.

In television receiver, for example be conditioned simultaneously when regulating picture quality in horizontal resolution and vertical resolution, at first, the adjusting of required size screen is superimposed upon on the display screen of monitor.In regulating screen, set two-dimensional coordinate system, allow to regulate the value of the parameter that defines horizontal resolution along horizontal axis, allow to regulate the value of the parameter that defines vertical resolution simultaneously along vertical axis.

In regulating screen, for example show the icon of representing spider lable.When the joystick of user's remote controller on required direction, cross button etc., the icon in regulating screen moves according to operation, and regulates entire display screen to level and vertical resolution corresponding to the current location of icon.

In addition, proposed to be converted to such as single-definition (SD) TV signal of classifying and coupling (adaption) will obtain the video display apparatus of the type of high definition (HD) signal from the broadcast singal that is received by image transitions.

In classification and coupling, will import the SD image transitions for for example having the HD image of higher resolution with respect to spatial axis based on the predetermined coefficient of prior generation.Proposed to allow the user to regulate the video display apparatus (for example, referring to Japanese unexamined patent publication No.2002-218414) of the type of picture quality along volume (volume) axis of the degree of expression resolution and noise suppressed.

In addition, in another video display apparatus (for example, referring to Japanese unexamined patent publication No.2003-224830), in classification and coupling, the history of user's operation is stored in the memory in advance.Regulate when being used to regulate the bulking value of picture quality (such as the degree of resolution or noise suppressed) the user, read operation is historical and analyze it with the operation history of reflection about image processing from memory.

Summary of the invention

When regulating a plurality of parameter at the same time, provide too big flexibility.Therefore, the user for being unfamiliar with this operation relatively requires great effort these parameter regulation to desirable value.

In addition, even when the user regulated a plurality of parameter simultaneously, the user watched single display screen.Therefore, the user is difficult to be identified in picture quality on the display screen before regulating and intensity of variation afterwards.

In front in the video display apparatus of Miao Shuing, use single LSI (integrated on a large scale) chip of single classification and match circuit or use classification and match circuit, and when realizing required picture quality, be presented at the image after regulating in the each adjusted volume value of user.

Therefore, do not allow the user visually to check simultaneously before regulating according to the image of bulking value processing and the image of after regulating, handling according to bulking value.Therefore, the user is difficult to determine that whether the image after regulating has the resolution of approaching more required resolution than the image before regulating.

For the people, be more prone to by direct relatively two targets of vision, therefore be presented at before regulating discretely and the method for image afterwards is not suitable for people's visual signature.

In addition, be presented at before regulating in time discretely and in the method for image afterwards, during value after bulking value is adjusted to a certain value before the user wishes to turn back to adjusting, image changes in real time when each adjusted volume value, therefore often be difficult to turn back to the accurate bulking value before regulating, particularly by incorrect operation change bulking value the time or the user, had a mind to regulate bulking value repeatedly but when having forgotten bulking value before regulating.

According to as in Japanese unexamined patent publication No.2003-224830 disclosed reflection user carry out the method for the operation history of image processing, if use operation history in all cases then may go wrong.More particularly, because operation history is stored in the memory according to user's intention, even having a mind to the adjusted volume value when withdrawing from adjusting in the centre after repeatedly by incorrect operation change bulking value or the user, undesirable operation history of analysis user also is reflected in the image processing.

As indicated above, when using single classification and match circuit or when using the single LSI chip of classification and match circuit, when producing handled image and on display screen, show handled image in real time, the convenience of user's operation is dissatisfied, and the Analysis of Complex of operation history, caused difficult problem in practice.

Therefore wish such image processing equipment and picture quality, it allows the regulating degree of picture quality or image processing to regulate easily according to user's hobby.

According to an embodiment of the present, provide a kind of original image based on the picture signal of being carried is carried out the image processing equipment that predetermined picture is handled.This image processing equipment comprises the display unit that shows a plurality of adjusting images, and each adjusting image is part or all of corresponding to original image; Setting define the image processing of regulating image respective degrees a plurality of parameters value so that in a plurality of adjusting images these values setting device all inequality; With an operating means of regulating image of specifying by peripheral operation in a plurality of adjusting images.When using operating means to specify in a plurality of adjusting images one to regulate image, setting device revise with reference to the degree of the image processing of specified adjusting image the adjusting image that defines other image processing corresponding degree multiple parameter values so that the value of other adjusting image near the value of specified adjusting image.Display unit shows the adjusting image according to the corresponding degree of the image processing of revising by setting device.

According to this image processing equipment, have by appointment required degree image processing the adjusting image repeatedly, watch a plurality of adjusting images that on display unit, show simultaneously, the user can finally realize the image processing of required degree simply.Therefore, allow the user visually to check before regulating and the degree of picture quality afterwards easily.In addition, easily carry out and regulate, and regulate a plurality of parameters easily simultaneously.

According to another embodiment of the present invention, provide a kind of original image based on the picture signal of being carried is carried out the image processing method that predetermined picture is handled.This image processing method comprises following step: show a plurality of adjusting images, each adjusting image is part or all of corresponding to original image; Setting define the image processing of regulating image respective degrees a plurality of parameters value so that in a plurality of adjusting images these values all inequality; In specify a plurality of adjusting images by peripheral operation one when regulating image, revise with reference to the degree of the image processing of specified adjusting image the adjusting image that defines other image processing corresponding degree multiple parameter values so that the value of other adjusting image near the value of specified adjusting image; The degree that is modified accordingly according to image processing shows the adjusting image.

According to this image processing method, have by appointment required degree image processing the adjusting image repeatedly, watch a plurality of adjusting images that on display unit, show simultaneously, the user can finally realize the image processing of required degree simply.Therefore, allow the user visually to check before regulating and the degree of picture quality afterwards easily.In addition, easily carry out and regulate, and regulate a plurality of parameters easily simultaneously.

According to another kind of embodiment of the present invention, provide a kind of to carry out the video processing equipment of predetermined Video processing based on the video image of the vision signal of being carried.This video processing equipment comprises and being used for by a plurality of image conversion apparatus of a plurality of processing lines to every two field picture carries out image conversion of video image; Show that based on frame the image of a plurality of processing that obtain by image transitions by a plurality of image conversion apparatus is so that the image of all a plurality of processing is included in the video display devices on the display screen whole or in part simultaneously; Specify on the video display devices image in the image of a plurality of processing that show simultaneously by peripheral operation and set the input device of bulking value of regulating degree of the image quality in images of the specified processing of expression; With set the image quality in images of regulating the processing of using the input device appointment according to the bulking value of the image of handling and on video display devices, show the display setting device of image of the processing of gained based on frame.

According to this video processing equipment, allow the user to regulate picture quality easily, so the user can regulate picture quality effectively by the adjusted volume value by the image that directly shows more simultaneously.In addition, the user finds the bulking value corresponding to the picture quality of the single hope of user easily.

This display setting device can comprise that being used for storage representation uses input device to set the frequency of corresponding bulking value as the number of times of the bulking value of the degree of the adjusting of the picture quality of the volumetric spaces of a plurality of adjusting types of expression permission picture quality.In this case, when using input device to set required bulking value, from storage device, read the frequency of corresponding bulking value, and along with frequency becomes higher, for this bulking value is set littler step-length, and when becoming lower, frequency sets bigger step-length for this bulking value.

According to this video processing equipment, when the user carries out predetermined operation with the adjusted volume value at every turn, the bulking value of the regulating degree of presentation video quality can approach the desirable value of user in the relatively short time, and allows to carry out meticulous adjusting near required value.

According to another kind of embodiment of the present invention, provide a kind of to carry out the method for processing video frequency of predetermined Video processing based on the video image of the vision signal of being carried.This method for processing video frequency comprises following step: be used for by the every two field picture carries out image conversion of a plurality of processing lines to video image; Show that based on frame the image of a plurality of processing that obtain by image transitions by a plurality of processing lines is so that the image of all a plurality of processing is included on the display screen whole or in part simultaneously; With a image in the image that specifies on the display screen a plurality of processing that show simultaneously by peripheral operation and when setting the bulking value of regulating degree of image quality in images of the specified processing of expression, set according to the bulking value of the image of handling and to regulate image quality in images of handling and the image that on display screen, shows the processing of gained based on frame.

According to this method for processing video frequency, allow the user easily to regulate picture quality, so the user can regulate picture quality effectively by the adjusted volume value by the image that directly shows more simultaneously.In addition, the user finds the bulking value of the picture quality of wishing individually corresponding to the user easily.

In addition, can use input device to set the frequency of corresponding bulking value by storage representation as the number of times of the bulking value of the degree of the adjusting of the picture quality in the volumetric spaces of a plurality of adjusting types of expression permission picture quality.In this case, when setting required bulking value, read the frequency of the corresponding bulking value of being stored, and,, and when frequency becomes lower, set bigger step-length for this bulking value for this bulking value is set littler step-length along with frequency becomes higher.

According to this video processing equipment, when the user carries out predetermined operation with the adjusted volume value at every turn, the bulking value of the regulating degree of presentation video quality can approach the desirable value of user in the relatively short time, and allows to carry out meticulous adjusting near required value.

Description of drawings

Accompanying drawing 1 is depicted as the calcspar of the structure of television receiver according to an embodiment of the present;

Accompanying drawing 2 is depicted as the schematic diagram of explaining the user interface of regulating parameter;

Accompanying drawing 3 is depicted as the diagrammatic plan view that shows the show state of regulating screen;

Accompanying drawing 4 is depicted as the schematic figures of the relation of explanation between the locations of pixels of SD signal (525i signal) and HD signal (525p signal);

Accompanying drawing 5 is depicted as the schematic figures of the relation of explanation between the locations of pixels of SD signal (525i signal) and HD signal (1050i signal);

Accompanying drawing 6A and 6B are depicted as the schematic diagram of the relation of explanation between the locations of pixels of SD signal (525i signal) and HD signal (525p signal) and the example of prediction tapped (tap);

Accompanying drawing 7A and 7B are depicted as the schematic diagram of the relation of explanation between the locations of pixels of SD signal (525i signal) and HD signal (10560i signal) and the example of prediction tapped;

Accompanying drawing 8A and 8B are depicted as the schematic diagram of the relation of explanation between the locations of pixels of SD signal (525i signal) and HD signal (525p signal) and the example of space-classification tap;

Accompanying drawing 9A and 9B are depicted as the schematic diagram of the relation of explanation between the locations of pixels of SD signal (525i signal) and HD signal (1050i signal) and the example of space-classification tap;

Accompanying drawing 10A and 10B are depicted as the schematic diagram of the relation of explanation between the locations of pixels of SD signal (525i signal) and HD signal (525p signal and 1050i signal) and the example of motion-classification tap;

Accompanying drawing 11 is depicted as explanation and is used to double the curve chart of the processing of wire rate when (525p signal) at output HD signal;

Accompanying drawing 12 is depicted as explains the schematic diagram that is used to produce coefficient-seed data;

Accompanying drawing 13 is depicted as the calcspar of the coefficient-seed-data generation equipment according to this embodiment;

Accompanying drawing 14 is depicted as the curve chart of the frequency characteristic of explaining band filter;

Accompanying drawing 15 is depicted as the flow chart according to the resolution adjustment program of this embodiment;

Accompanying drawing 16 is depicted as the schematic diagram of explanation according to the user interface of this embodiment;

Accompanying drawing 17A and 17B are depicted as explanation at a plurality of adjusting images shown in the accompanying drawing 16 with reference to the diagrammatic plan view of the show state of original image;

Accompanying drawing 18 is depicted as the flow chart according to the parameter setting program of this embodiment;

Accompanying drawing 19 is depicted as the schematic figures of the convergence of the parameter value of explanation in the parameter setting program shown in the accompanying drawing 18;

Accompanying drawing 20 is depicted as the schematic figures of explaining the method that produces coefficient-seed data;

Accompanying drawing 21 is depicted as the calcspar of the structure of coefficient-seed-data generation equipment according to a second embodiment of the present invention;

Accompanying drawing 22A to 22C is depicted as the diagrammatic plan view of explaining the method that increases noise;

Accompanying drawing 23 is depicted as the schematic figures of the show state of the display screen of regulating parameter r and z;

Accompanying drawing 24 is depicted as explanation produces the example of SD signal based on parameter r and z schematic figures;

Accompanying drawing 25 is depicted as the schematic figures of the show state of the display screen of regulating parameter h, v and z;

Accompanying drawing 26 is depicted as explanation produces the example of SD signal based on parameter h, v and z schematic figures;

Accompanying drawing 27 is depicted as the calcspar according to the structure of image-signal processor of second embodiment;

Accompanying drawing 28 is depicted as the flow chart of conversion program;

Accompanying drawing 29 is depicted as the flow chart of coefficient-seed-Data Generation Program;

Accompanying drawing 30 is depicted as the flow chart of coefficient-seed-Data Generation Program;

Accompanying drawing 31 is depicted as the calcspar according to the structure of the television receiver of second embodiment;

Accompanying drawing 32 is depicted as the calcspar that produces the structure of equipment according to coefficient-seed of second embodiment-data;

Accompanying drawing 33 is depicted as the flow chart of conversion program;

Accompanying drawing 34 is depicted as the flow chart of coefficient-seed-Data Generation Program;

Accompanying drawing 35 is depicted as the calcspar according to the structure of image-signal processor of second embodiment;

Accompanying drawing 36 is depicted as the form of explanation in value and the relevance between the function of parameter v;

Accompanying drawing 37 is depicted as on display the schematic figures that shows based on the show state of the result of different parameter values;

Accompanying drawing 38 is depicted as explanation has the display of display parameters position according to second embodiment the schematic figures of remote transmitter;

Accompanying drawing 39 is depicted as the calcspar according to the structure of the video display of a kind of embodiment;

Accompanying drawing 40 is depicted as the schematic figures in the external structure of the remote control transmitter shown in the accompanying drawing 39;

Accompanying drawing 41 is depicted as the calcspar in the internal structure of the remote control transmitter shown in the accompanying drawing 40;

Accompanying drawing 42 is depicted as the diagrammatic plan view of explaining the two-dimensional coordinate system that defines volumetric spaces;

Accompanying drawing 43A and 43B are depicted as the diagrammatic plan view of the generation of the image of explaining combination;

Accompanying drawing 44 is depicted as the calcspar of the internal structure of classification in accompanying drawing 39 and matched-field processors;

Accompanying drawing 45 is depicted as the flow chart of the program of regulating according to the bulking value of the 3rd embodiment;

Accompanying drawing 46A to 46D explains the diagrammatic plan view of the method for the image that shows combination;

Accompanying drawing 47 is depicted as the flow chart of the operation history maintenance program of a fourth embodiment in accordance with the invention;

Accompanying drawing 48 is depicted as the flow chart of the program of regulating according to the bulking value of the 4th embodiment;

The bulking value that accompanying drawing 49 is depicted as is according to a fifth embodiment of the invention regulated the flow chart of program;

Accompanying drawing 50A to 50D explains by select the schematic figures of zone convergence bulking value in volumetric spaces;

Accompanying drawing 51 is depicted as the flow chart of operation history maintenance program according to a sixth embodiment of the invention; With

Accompanying drawing 52 is depicted as the flow chart of the program of regulating according to the bulking value of the 6th embodiment.

Embodiment

Now, embodiments of the present invention will be described by referring to the drawings.

General structure according to the television receiver of first embodiment

With reference to the accompanying drawings 1, single-definition (SD) signal that will obtain from the broadcast singal that is received according to the television receiver 1 of the first embodiment of the present invention is converted to high definition (HD) signal.

The SD signal is a kind of HD signal (525i signal) with overlapping of 525 lines, and the HD signal is a kind ofly to have progressive (non-overlapping) vision signal (525p signal) of 525 lines or have the vision signal (1050i signal) of the overlapping of 1,050 line.

Television receiver 1 uses microcomputer to implement, and it comprises the system controller 2 of controlling whole system and receives from the remote signal receiving circuit 3 of the remote signal RM of external remote control reflector 4 transmissions.

Remote signal receiving circuit 3 is connected to system controller 2.Remote signal receiving circuit 3 receives the remote signal RM that exports from remote control transmitter 4 according to user's operation, and will send to system controller 2 corresponding to the operation signal of signal RM.

When feeding back to tuner 6 by reception antenna 5, tuner 6 is selected channel, amplifies intermediate frequency signal, and detection signal feeds back to the input terminal a of selector switch 8 to obtain SD signal (525i signal) with it at broadcast singal (RF conditioning signal).In addition, SD signal (525i signal) feeds back to another input terminal b of selector switch 8 by external input terminals 7.

The switch of system controller 2 control selector switches 8 is so that feed back to first frame memory 9 and be stored in wherein provisionally from the SD signal (525i signal) of the input terminal a of user's appointment and a feedback the b.

In addition, first frame memory 9 subsequently the level on image-signal processor 10 is provided.Under the control of system controller 2, image-signal processor 10 will be converted to HD signal (525p signal or 1050i signal) from the SD signal (525i signal) that first frame memory 9 reads.

On the level subsequently of image-signal processor 10, provide second frame memory 11.System controller 2 is stored as required provisionally from the HD signal (525p signal or 1050i signal) of image-signal processor 10 outputs.

In addition, show on the display screen that (OSD) circuit 13 is provided between system controller 2 and the combiner 14.As required from system controller 2 issue reading command the time, osd circuit 13 based on this reading command from various display modes such as reading displayed pattern the character of storage in advance or the figure, and it is flowed to combiner 14 as shows signal SCH.

Then, system controller 2 combinations feed back to the HD signal of combiner 14 and the shows signal SCH that feeds back from osd circuit 13 from image-signal processor 10 by second frame memory 11, and show the image corresponding to the vision signal of gained on the display screen of the display of for example implementing by cathode ray tube (CRT) display or LCD (LCD) 12.

Osd circuit 13 will indicate on the display screen of display 12 the display position signal SDP that shows based on the position of the display mode of shows signal SCH to send to system controller 2.This just allows system controller 2 can find on the display screen of display 12 position based on the current demonstration display mode of display position signal SDP at any time.

In television receiver 1, the level and the vertical resolution that operate in the image that shows on the display screen of display 12 according to the user of remote control transmitter 4 can be regulated smoothly.

More particularly, image-signal processor 10 calculates the pixel data of HD signal (525p signal or 1050i signal) according to predetermined estimate equation (will be described below).The coefficient of estimate equation is corresponding to defining level and vertical resolution and user parameter h and the v according to the Signal Regulation that sends from remote control transmitter 4.

Accompanying drawing 2 is depicted as the example of the user interface of regulating parameter h and v.When regulating resolution, on the display screen 12A of display 12, OSD-shows thereon the adjusting screen P1 by the adjusting position of star icon M1 indication parameter h and v.

The user can regulate on the screen P1 by move horizontal or vertically the action bars 4a that is installed on the remote control transmitter 4 on required direction mobile icon M1 so that regulate the value of the parameter h and the v of the level of defining and vertical resolution as required according to the position of icon M1.

More particularly, with reference to the view that amplify the part of regulating screen P1 in accompanying drawing 3, when icon M1 is flatly mobile, regulate the value of the parameter h that defines horizontal resolution.When icon M1 is vertically mobile, regulate the value of the parameter v that defines vertical resolution.As indicated above, use remote control transmitter 4, the user can be shielded the value that P1 freely and easily regulates parameter h and v with reference to the adjusting that shows on the display screen 12A of display 12.

Though use the action bars 4a that is installed on the remote control transmitter 4 to regulate parameter h and v in the present embodiment, and be limited to this, can also provide other pointing device, such as mouse or tracking ball.In addition, parameter h that can also on adjusting screen P1, regulate and the value of v with the form explicit user of digital value.

The internal structure of image processor

In the television receiver 1 of constructing as shown in Figure 1, the pixel data (SD pixel data hereinafter referred to as) of the SD signal (525i signal) that image-signal processor 10 will be by first frame memory 9 feedback is converted to the pixel data (HD pixel data hereinafter referred to as) of HD signal (525p signal or 1050i signal).As the HD signal, operate according to the user of remote control transmitter 4 and to select 525p signal or 1050i signal.

Image-signal processor 10 comprises that first to the 3rd tap of the output stage that is parallel-connected to first frame memory 9 selects circuit 20 to 22, therefore from the SD signal (525i signal) of storage first frame memory 9, can extract selectively be positioned at the subject pixel relevant with HD signal (525p signal or 1050i signal) near many SD pixel datas of pixel.

First tap selects circuit 20 to extract the data (prediction tapped hereinafter referred to as) of the SD signal that is used to predict selectively.Second tap select circuit 21 based on the distribution pattern of the level of SD pixel data extract selectively be used to classify the data (space-classification tap hereinafter referred to as) of SD signal.The 3rd tap selection circuit 22 extracts the data (motion-classification tap hereinafter referred to as) about the SD signal of the classification of motion selectively.When the SD pixel data that belongs to a plurality of fields in use was determined spaces category (being mainly used in the classification of the expression of spatial waveforms), spaces category related to the information about motion.

Accompanying drawing 4 is depicted as the relation of the location of pixels of HD signal (525p signal) in the odd number field (o) of frame (F) and SD signal (525i signal).In accompanying drawing 4, bigger point is represented the pixel of 525i signal, and less point is represented the pixel of the 525p signal changed.Though do not illustrate, in even number field (e), the line of 525 signals translation spatially 0.5.

The pixel data that is appreciated that HD signal (525p signal) from accompanying drawing 4 comprises the line data L1 that is positioned at the pixel on the line identical with SD signal (525i signal) and is located at the line data L2 of the pixel on the line between the line of SD signal (525i signal).Quantity in the pixel on each line of HD signal (525p signal) is the twice of the quantity of the pixel on each line of SD signal (525i signal).

Accompanying drawing 5 is depicted as the relation at the location of pixels of the odd number field (o) of frame (F) and SD signal (525i signal) in the even number field (e) and HD signal (525p signal).In accompanying drawing 5, bigger point is represented the pixel of 525i signal, and less point is represented the pixel through the 1050i signal of conversion.

The pixel data that is appreciated that HD signal (525p signal) from accompanying drawing 5 comprises and is positioned near the line data L1 and the L1 ' of the pixel on the line of the line of SD signal (525i signal) and is positioned at line data L2 and L2 ' away from the pixel on the line of the line of SD signal (525i signal).L1 and L1 ' are the line data of odd number field, and L2 and L2 ' are the line data of even number field.Quantity in the pixel on each line of HD signal (1050i signal) is the twice of the quantity of the pixel on each line of SD signal (525i signal).

Accompanying drawing 6A and 6B are depicted as the instantiation of selecting the prediction tapped (SD pixel) of circuit 20 selections when being converted to HD signal (525p signal) on SD signal (525i signal) by first tap.Accompanying drawing 6A and 6B are depicted as the relation between the position of the relative vertical direction of pixel in continuous provisionally frame (F-1), F and odd number field (o) (F+1) and even number field (e).

Shown in accompanying drawing 6A, the line data L1 of the odd number field (F/o) of prediction expression frame F and the prediction tapped of L2 are by SD pixel T1, T2 and T3, SD pixel T4, T5 and T6, SD pixel T7, T8 and T9 and SD pixel T10 constitute, SD pixel T1, T2 and T3 are included in next even number field (F/e) and spatially are positioned near through the subject pixel of the HD signal (525p signal) of conversion, SD pixel T4, T5 and T6 are included in the odd number field (F/o) and spatially are positioned near through the subject pixel of the HD signal (525p signal) of conversion, SD pixel T7, T8 and T9 are included in the even number field (F-1/e) of previous frame (F-1) and spatially are positioned near through the subject pixel of the HD signal (525p signal) of conversion, and SD pixel T10 is included in the odd number field (F-1/o) of frame (F-1) and spatially is positioned near through the subject pixel of the HD signal (525p signal) of conversion.

Shown in accompanying drawing 6B, the line data L1 of the even number field (F/e) of prediction expression frame F and the prediction tapped of L2 are by SD pixel T1, T2 and T3, SD pixel T4, T5 and T6, SD pixel T7, T8 and T9 and SD pixel T10 constitute, SD pixel T1, T2 and T3 are included in the odd number field (F+1/o) of next frame (F+1) and spatially are positioned near through the subject pixel of the HD signal (525p signal) of conversion, SD pixel T4, T5 and T6 are included in the even number field (F/e) of previous frame F and spatially are positioned near through the subject pixel of the HD signal (525p signal) of conversion, SD pixel T7, T8 and T9 are included in the odd number field (F/o) of frame (F) and spatially are positioned near through the subject pixel of the HD signal (525p signal) of conversion, and SD pixel T10 is included in the even number field (F-1/e) of previous frame (F-1) and spatially is positioned near through the subject pixel of the HD signal (525p signal) of conversion.

SD pixel T9 can save from prediction tapped when line of prediction data L1, and SD pixel T4 can save from prediction tapped when line of prediction data L2.

Accompanying drawing 7A and 7B are depicted as the instantiation of selecting the prediction tapped (SD pixel) of circuit 20 selections when being converted to HD signal (1050i signal) on SD signal (525i signal) by first tap.Accompanying drawing 7A and 7B are depicted as the relation between the position of the relative vertical direction of pixel in continuous provisionally frame (F-1), F and odd number field (o) (F+1) and even number field (e).

Shown in accompanying drawing 7A, the line data L1 of the odd number field (F/o) of prediction expression frame F and the prediction tapped of L2 are by SD pixel T1 and T2, SD pixel T3, T4, T5 and T6 and SD pixel T7 and T8 constitute, SD pixel T1 and T2 are included in next even number field (F/e) and spatially are positioned near through the subject pixel of the HD signal (1050i signal) of conversion, SD pixel T3, T4, T5 and T6 are included in the odd number field (F/o) and spatially are positioned near through the subject pixel of the HD signal (1050i signal) of conversion, and SD pixel T7 and T8 are included in the even number field (F-1/e) of previous frame (F-1) and spatially are positioned near through the subject pixel of the HD signal (1050i signal) of conversion.

Shown in accompanying drawing 7B, the line data L1 ' of the even number field (F/e) of prediction expression frame F and the prediction tapped of L2 ' are by SD pixel T1 and T2, SD pixel T3, T4, T5 and T6 and SD pixel T7 and T8 constitute, SD pixel T1 and T2 are included in the odd number field (F+1/o) of next frame (F+1) and spatially are positioned near through the subject pixel of the HD signal (1050i signal) of conversion, SD pixel T3, T4, T5 and T6 are included in the even number field (F/e) of previous frame and spatially are positioned near through the subject pixel of the HD signal (1050i signal) of conversion, and SD pixel T7 and T8 are included in the odd number field (F/o) of frame F and spatially are positioned near through the subject pixel of the HD signal (1050i signal) of conversion.

Line of prediction data L1 and L1 ' time SD pixel T6 can from prediction tapped, save, line of prediction data L2 and L2 ' time SD pixel T3 can from prediction tapped, save.

In addition, except the locational SD pixel of the correspondence of a plurality of fields shown in accompanying drawing 6A to 7B (odd number field and even number field), the one or more SD pixels that can select to arrange in the horizontal direction are as prediction tapped.

Accompanying drawing 8A and 8B are depicted as the instantiation of selecting the space-classification tap (SD pixel) of circuit 21 selections when being converted to HD signal (525p signal) on SD signal (525i signal) by second tap.Accompanying drawing 8A and 8B are depicted as the relation between the position of the relative vertical direction of pixel in continuous provisionally frame (F-1), F and odd number field (o) (F+1) and even number field (e).

Shown in accompanying drawing 8A, the line data L1 of the odd number field (F/o) of prediction expression frame F and space-classification tap of L2 are by SD pixel T1 and T2, SD pixel T3, T4 and T5 and SD pixel T6 and T7 constitute, SD pixel T1 and T2 are included in next even number field (F/e) and spatially are positioned near through the subject pixel of the HD signal (525p signal) of conversion, SD pixel T3, T4 and T5 are included in the odd number field (F/o) and spatially are positioned near through the subject pixel of the HD signal (525p signal) of conversion, and SD pixel T6 and T7 are included in the even number field (F-1/e) of previous frame (F-1) and spatially are positioned near through the subject pixel of the HD signal (525p signal) of conversion.

Shown in accompanying drawing 8B, the line data L1 of the even number field (F/e) of prediction expression frame F and space-classification tap of L2 are by SD pixel T1 and T2, SD pixel T3, T4 and T5 and SD pixel T6 and T7 constitute, SD pixel T1 and T2 are included in the odd number field (F+1/o) of next frame (F+1) and spatially are positioned near through the subject pixel of the HD signal (525p signal) of conversion, SD pixel T3, T4 and T5 are included in the even number field (F/e) of previous frame F and spatially are positioned near through the subject pixel of the HD signal (525p signal) of conversion, and SD pixel T6 and T7 are included in the odd number field (F/o) of frame (F) and spatially are positioned near through the subject pixel of the HD signal (525p signal) of conversion.

SD pixel T7 can save from space-classification tap when line of prediction data L1, and SD pixel T6 can save from space-classification tap when line of prediction data L2.

Accompanying drawing 9A and 9B are depicted as the instantiation of selecting the space-classification tap (SD pixel) of circuit 21 selections when being converted to HD signal (1050i signal) on SD signal (525i signal) by second tap.Accompanying drawing 7A and 7B are depicted as at continuous provisionally frame (F-1), F and the relation between the position of the relative vertical direction of pixel (F+1).

Shown in accompanying drawing 9A, the line data L1 of the odd number field (F/o) of prediction expression frame F and space-classification tap of L2 are made of SD pixel T1, T2 and T3 and SD pixel T4, T5, T6 and T7, SD pixel T1, T2 and T3 are included in the odd number field (F/o) and spatially are positioned near through the subject pixel of the HD signal (1050i signal) of conversion, and SD pixel T4, T5, T6 and T7 are included in the even number field (F-1/e) of previous frame (F-1) and spatially are positioned near through the subject pixel of the HD signal (1050i signal) of conversion.

Shown in accompanying drawing 9B, the line data L1 ' of the even number field (F/e) of prediction expression frame F and space-classification tap of L2 ' are made of SD pixel T1, T2 and T3, SD pixel T4, T5, T6 and T7, SD pixel T1 and T2 are included in the even number field (F+1/o) and spatially are positioned near through the subject pixel of the HD signal (1050i signal) of conversion, and SD pixel T4, T5, T6 and T7 are included in the odd number field (F/o) and spatially are positioned near through the subject pixel of the HD signal (1050i signal) of conversion.

Line of prediction data L1 and L1 ' time SD pixel T7 can from space-classification tap, save, line of prediction data L2 and L2 ' time SD pixel T4 can from space-classification tap, save.

In addition, except the locational SD pixel of the correspondence of a plurality of fields shown in accompanying drawing 8A to 9B (odd number field and even number field), the one or more SD pixels that can select to arrange in the horizontal direction are as space-classification tap.

Accompanying drawing 10A is depicted as the instantiation of selecting the motion-classification tap (SD pixel) of circuit 22 selections when being converted to HD signal (525p signal) on SD signal (525i signal) by the 3rd tap.Accompanying drawing 10A is depicted as the relation between the position of the relative vertical direction of pixel in the odd number field (o) of continuous provisionally frame (F-1) and F and even number field (e).

Shown in accompanying drawing 10A, the line data L1 of the odd number field (F/o) of prediction expression frame F and motion-classification tap of L2 are by SD pixel n2, n4 and n6, SD pixel n1, n3 and n5, SD pixel m2, m4 and m6 and SD pixel m1, m3 and m5 constitute, SD pixel n2, n4 and n6 are included in next even number field (F/e) and spatially are positioned near through the subject pixel of the HD signal (525p signal) of conversion, SD pixel n1, n3 and n5 are included in the odd number field (F/o) and spatially are positioned near through the subject pixel of the HD signal (525p signal) of conversion, SD pixel m2, m4 and m6 are included in the even number field (F-1/e) of previous frame (F-1) and spatially are positioned near through the subject pixel of the HD signal (525p signal) of conversion, SD pixel m1, m3 and m5 are included in the odd number field (F-1/o) of previous frame (F-1) and spatially are positioned near through the subject pixel of the HD signal (525p signal) of conversion.SD pixel n1 to n6 with respect to the position of vertical direction corresponding to the position of SD pixel m1 to m6 with respect to vertical direction.

Accompanying drawing 10B is depicted as the instantiation of selecting the motion-classification tap (SD pixel) of circuit 22 selections when being converted to HD signal (1050i signal) on SD signal (525i signal) by the 3rd tap.Accompanying drawing 10B is depicted as the relation between the position of the relative vertical direction of pixel in the odd number field (o) of continuous provisionally frame (F-1) and F and even number field (e).

Shown in accompanying drawing 10B, the line data L1 of the odd number field (F/o) of prediction expression frame F and motion-classification tap of L2 are by SD pixel n2, n4 and n6, SD pixel n1, n3 and n5, SD pixel m2, m4 and m6 and SD pixel m1, m3 and m5 constitute, SD pixel n2, n4 and n6 are included in next even number field (F/e) and spatially are positioned near through the subject pixel of the HD signal (1050i signal) of conversion, SD pixel n1, n3 and n5 are included in the odd number field (F/o) and spatially are positioned near through the subject pixel of the HD signal (1050i signal) of conversion, SD pixel m2, m4 and m6 are included in the even number field (F-1/e) of previous frame (F-1) and spatially are positioned near through the subject pixel of the HD signal (1050i signal) of conversion, SD pixel m1, m3 and m5 are included in the odd number field (F-1/e) of frame (F-1) and spatially are positioned near through the subject pixel of the HD signal (1050i signal) of conversion.SD pixel n1 to n6 with respect to the position of vertical direction corresponding to the position of SD pixel m1 to m6 with respect to vertical direction.

In the image-signal processor shown in the accompanying drawing 1 10, the pattern of the distribution of the level of space-space-classification-tap data (SD pixel data) that classification testing circuit 23 detections passing through second tap selection circuit 21 extracts selectively, and detect spaces category, output corresponding class signal based on the distribution pattern of this level.

Space-classification testing circuit 23 is every pixel data of ground compression from 8 to 2 for example by compression method (such as adaptive dynamic range coding (ADRC)), and compressed data are flowed to classification combinational circuit 25 as the classification information of representation space classification.

The initial exploitation of ADRC is used for high performance video tape recorder (VTR).Yet because ADRC allows to represent effectively by short word length the local mode of signal level, so ADRC also is suitable for above-mentioned data compression.As substituting of ADRC, using differential pulse coding to modulate (DPCM), vector quantization (VQ) etc. also can compressed information.

When using ADRC, if maximum with MAX representation space-classification-tap data (SD pixel data), the minimum value of representing it with MIN, with DR (=MAX-MIN+1) represent its dynamic range, represent the quantity that quantizes again with P, then the quantization encoding again of Ya Suo data according to as every pixel data ki of space-classification-tap data by following formula (1) expression:

qi＝[(ki-MIN+0.5).2 ^P/DR] ……(1)

Here mantissa is clipped in [] expression.When the bar number as the SD pixel data of space-classification-tap data is Na, i from 1 to Na.

In addition, in the image-signal processor 10 as shown in accompanying drawing 1, motion-classification testing circuit 24 is based on motion-classification-tap data (SD pixel data) of selecting circuit 22 to extract selectively by the 3rd tap, detect the sports category of main expression movement degree, output corresponding class information.

Motion-classification testing circuit 24 calculates frame difference from motion-classification-tap data (SD pixel data), and the predetermined threshold value of on average carrying out of the absolute value of frame difference handled to detect the degree of motion classification of expression motion, corresponding classification information is sent to classification combinational circuit 25.

More particularly, motion-classification testing circuit 24 calculates the average absolute AV of frame difference from SD pixel data mi and ni according to following formula (2):

$\mathrm{AV}=\frac{\underset{i=1}{\overset{\mathrm{Nb}}{\mathrm{\Σ}}}|m_i-n_i|}{\mathrm{Nb}}\·\·\·\·\·\·\left(2\right)$

In formula (2), when selecting circuit 22 to extract 12 SD pixel datas (m1 to m6 and n1 to n6) by the 3rd tap, the maximum Nb of i is 6.

Then, motion-classification testing circuit 24 compares the classification information MV that obtains the expression sports category by mean value AV and the one or more threshold value that will above calculate.For example, three threshold value th1, th2 of the classification that is used for four sports category and th3 (during th1＜th2＜th3), MV=0 when AV＜th1, MV=1 when th1＜AV≤th2, MV=2 when th2＜AV≤th3, and when th3＜AV MV=3.

As indicated above, based on as expression from the space-classification information of the spaces category that classification testing circuit 23 receives and expression receive the qi of quantization encoding again of the classification information MV of sports category from motion-classification testing circuit 24, the classification that classification combinational circuit 25 produces the classification of expression under the subject pixel of the HD signal (525p signal or 1050i signal) of the conversion CL that encodes.

That is, if with the quantity of Na representation space-classification-tap data (SD pixel data), and represent the quantity that quantizes again of ADRC with P, then classification combinational circuit 25 has obtained classification coding CL according to following formula (3):

$\mathrm{CL}=\underset{i=1}{\overset{\mathrm{Na}}{\mathrm{\Σ}}}{q}_1{\left(2^P\right)}^i+\mathrm{MV}\·2^P^{\mathrm{Na}}\·\·\·\·\·\·\left(3\right)$

In addition, image-signal processor 10 comprises a plurality of registers 30 to 33 and coefficient memory 34.Operation-the appointed information of the operation of line described below-sequence converter circuit 28 is specified in register 30 storages.Line-sequence converter circuit 28 need will exported the 525p signal as the situation of the HD signal of conversion with will export the operation of switching between the situation of HD signal of 1050i signal as conversion.Therefore, line-sequence converter circuit 28 is according to the operation-appointed information operation from register 30 feedbacks.

Tap-the positional information of the prediction tapped of circuit 20 selections is selected in register 31 storages by first tap.Tap-positional information for example by be assigned to respectively can selecteed a plurality of SD pixels numeral.This is applied to all tap-positional informations described below.First tap selects circuit 20 to select SD pixel corresponding to the quantity that comprises in the tap-positional information of feedback from register 31 as prediction tapped.

Tap-the positional information of the spatial movement tap of circuit 21 selections is selected in register 32 storages by second tap.Second tap selects circuit 21 to select SD pixel corresponding to the quantity that comprises in the tap-positional information of feedback from register 32 as space-classification tap.

Tap-positional information that register 32 storage is two types, the move tap-positional information B of relatively large situation of the tap-positional information A of the less relatively situation that promptly is used to move and being used to.Tap-positional information A or tap-positional information B select from the classification information of the sports category of motion-classification testing circuit 24 feedbacks according to expression, and selected tap-positional information is fed back to second tap selection circuit 21.

More particularly, be 0 or 1 o'clock not having the motion or the value less so that classification information MV of moving, tap-positional information A feeds back to second tap from register 32 and selects circuit 21.In this case, space-classification tap of selecting circuit 21 to select by second tap is included in a plurality of fields shown in the accompanying drawing 8A to 9B.

On the other hand, be 2 or 3 o'clock in relatively large so that value classification information MV of motion, tap-positional information B feeds back to second tap from register 32 and selects circuit 21.In this case, though do not illustrate, space-classification tap of selecting circuit 21 to select by second tap be only with SD pixel in the identical field of the pixel of conversion.

In register 31, similar with register 32, tap-positional information of two types (promptly in tap-positional information under the less relatively situation of motion and the tap-positional information under the relatively large situation of motion) can be stored so that can select to feed back to tap-positional information that circuit 20 is selected in first tap according to the classification information MV from motion-classification testing circuit 24 feedbacks.

Tap-the positional information of the motion-classification tap of circuit 22 selections is selected in register 33 storages by the 3rd tap.The 3rd tap select circuit 22 select corresponding in the SD pixel of the quantity that from the tap-positional information of register 33 feedbacks, comprises as the tap of motion-classification.

Coefficient memory 34 storage be used for every kind at the coefficient data that uses at the estimate equation of being scheduled to by prediction described below-value counting circuit 26.This coefficient data is used for SD signal (525i signal) is converted to HD signal (525p signal or 1050i signal).

Read-address information in case received classification coding CL conduct from classification combinational circuit 25 under the control of system controller 2, the coefficient data related with classification coding CL feeds back to prediction-value counting circuit 26 from coefficient memory 34.

In addition, image-signal processor 10 is included in the information stores body 35 of wherein having stored the operation-appointed information that will be stored in the register 30 in advance and will being stored in the tap-positional information in the register 31 to 33.Information stores body 35 sends the various information related with register 30 to 33 under the control of system controller 2.

As the operation-appointed information that will be stored in the register 30, information stores body 35 storage in advance makes the first operation-appointed information of line-sequence converter circuit 28 output HD signals (525p signal) and makes the second operation-appointed information of line-sequence converter circuit 28 output HD signals (1050i signal).

When the user uses remote control transmitter 4 to select to be used for SD signal (525i signal) to be converted to first conversion method of HD signal (525p signal) or to be used for SD signal (525i signal) to be converted to second conversion method of HD signal (1050i signal), the result who selects is reported to information stores body 35 by system controller 2.Then, system controller 2 reads the first or second operation-appointed information corresponding to first or second conversion method of selecting by the user, and will operate-appointed information sends to register 30.

As the tap-positional information of the prediction tapped that will in register 31, store, first tap-positional information that information stores body 35 storage in advance is related with first conversion method (525p signal) and with the related second tap-positional information of second conversion method (1050i signal).System controller 2 reads from information stores body 35 and related first or the second tap-positional information of selecting by the user of first or second conversion method, and this tap-positional information is sent to register 31.

In addition, as the tap-positional information that will be stored in the space-classification tap in the register 32, first tap-positional information that information stores body 35 storage in advance is related with first conversion method (525p signal) and with the related second tap-positional information of second conversion method (1050i signal).

In the first tap-positional information and second tap-positional information each comprises tap-positional information of two types, the move tap-positional information B of relatively large situation of the tap-positional information A of the less relatively situation that promptly is used to move and being used to.Related first or the second tap-positional information of first or second conversion method that system controller 2 reads from information stores body 35 and selects by the user, and this tap-positional information is sent to second tap select circuit 21.

In addition, as the tap-positional information that will be stored in the motion-classification tap in the register 33, first tap-positional information that information stores body 35 storage in advance is related with first conversion method (525p signal) and with the related second tap-positional information of second conversion method (1050i signal).Related first or the second tap-positional information of first or second conversion method that system controller 2 reads from information stores body 35 and selects by the user, and this tap-positional information is sent to the 3rd tap select circuit 22.

In addition, for every kind of method in first and second conversion methods, information stores body 35 is the storage coefficient-seed data related with every kind in advance.Coefficient-seed data is will be stored in the coefficient data that uses in the generation equation of the coefficient data in the coefficient memory 34 in generation.

Prediction described below-value counting circuit 26 calculates the HD pixel data of changing according to the estimate equation of expression in the following formula (4) based on prediction-tap data (SD pixel data) xi and the coefficient data Wi that reads from coefficient memory 34:

$y=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{w}_i\·x_i\·\·\·\·\·\·\left(4\right)$

Selecting the quantity of the prediction tapped of circuit 20 selections by first tap is 10, and shown in accompanying drawing 4 and 6B, the n value in equation (4) is 10.Coefficient data Wi (i=1 to n) in this estimate equation can represent by the generation equation operation parameter h and the v of expression in following formula (5):

W ₁＝w ₁₀+w ₁₁v+w ₁₂h+w ₁₃v ²+w ₁₄vh+w ₁₅h ²

+w ₁₆v ³+w ₁₇v ²h+w ₁₈vh ²+w ₁₉h ³

W ₂＝w ₂₀+w ₂₁v+w ₂₂h+w ₂₃v ²+w ₂₄vh+w ₂₅h ²

+w ₂₆v ³+w ₂₇v ²h+w ₂₈vh ²+w ₂₉h ³



W _i＝w _i0+w _i1v+w _i2h+w _i3v ²+w _i4vh+w _i5h ²

+w _i6v ³+w _i7v ²h+w _i8vh ²+w _i9h ³



W _n＝w _n0+w _n1v+w _n2h+w _n3v ²+w _n4vh+w _n5h ²

+w _n6v ³+w _n7v ²h+w _n8vh ²+w _n9h ³

……(5)

In addition, for every kind of conversion method and every kind, information stores body 35 is stored in and produces the coefficient-seed data W that is used as coefficient data in the equation ₁₀To W _N9The method that produces coefficient-seed data is hereinafter described.

System controller 2 reads the coefficient-seed data of the every kind related with first or second conversion method of being selected by the user from information stores body 35, and coefficient-seed data is sent to coefficient generation circuit 36.In addition, system controller 2 sends to coefficient generation circuit 36 with parameter h and v.

Coefficient of utilization-seed data and feed back to wherein parameter h and the value of v, coefficient produces circuit 36 and produces coefficient data Wi (i=1 to n) according to the generation equation of equation (5) expression according to the parameter h of the every kind that is used for estimate equation and the value of v.

At this moment, for example, by in the vertical blanking cycle for each classification produces coefficient data Wi, even the user has changed the value of parameter h and v, then coefficient produces circuit 36 and still can change the coefficient data Wi that is used in each classification of coefficient memory 34 storages immediately according to parameter h and v.Therefore, can allow the user to regulate resolution smoothly.

As indicated above, coefficient produces circuit 36 at the coefficient data Wi (i=1 to n) that stores every kind under the control of system controller 2 in coefficient memory 34.

Normalization coefficient produces circuit 37 and calculates and the related normalization coefficient S of coefficient data Wi (i=1 to n) that produces every kind of circuit 36 generations by coefficient according to following formula (6):

$S=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{W}_i\·\·\·\·\·\·\left(6\right)$

Normalization coefficient generation circuit 37 sends to normalization coefficient memory 38 so that normalization coefficient S is stored in the normalization coefficient memory 38 with the normalization coefficient S of every kind.The classification coding CL that 38 storages of normalization coefficient memory receive from classification combinational circuit 25 is as reading-address information.System controller 2 is read the normalization coefficient S related with classification coding CL and normalization coefficient S is sent to normalization circuit 27.

Prediction-value counting circuit 26 calculates the data of the subject pixel of HD signal from prediction-tap data (SD pixel data) xi that extracts selectively by first tap selection circuit 20 and the coefficient data Wi that reads from coefficient memory 34.

When on SD signal (525i signal), being converted to HD signal (525p signal), in odd number field (o) and even number field (e), prediction-value counting circuit 26 produces the line data L2 that is positioned at the line data L1 of the pixel on the line identical with the line of SD signal (525i signal) and is positioned at the pixel on the line between the line of SD signal (525i signal), the quantity of the pixel on each line of online data L1 and L2 is the twice of the quantity of the pixel on each line of SD signal (525i signal), as shown in Figure 4.

When on SD signal (525i signal), being converted to HD signal (1050i signal), in odd number field (o) and even number field (e), prediction-value counting circuit 26 produces and is positioned near the line data L1 and the L1 ' of the pixel on the line of the line of SD signal (525i signal) and is positioned at line data L2 and L2 ' away from the pixel on the line of the line of SD signal (525i signal), and the quantity of the pixel on each line of online data L1, L1 ', L2 and L2 ' is the twice of the quantity of the pixel on each line of SD signal (525i signal).

Therefore, prediction-value counting circuit 26 produces the data of four pixels of HD signal (525p signal or 1050i signal) simultaneously.At this moment, prediction-value counting circuit 26 calculates HD pixel data y based on the corresponding value of the coefficient data Wi that reads and prediction-tap data (SD pixel data) xi according to the estimate equation of expressing in equation (4) from coefficient memory 34.

Then, normalization circuit 27 is by carrying out normalization divided by the normalization coefficient S related with the corresponding value of the coefficient data Wi (i=1 to n) that reads to the HD pixel data y from the line data L1 of prediction-value counting circuit 26 feedback and L2 (L1 ' and L2 ') with it from normalization coefficient memory 38.

Coefficient data Wi (i=1 to n) comprises the rounding error, so it can not be guaranteed coefficient data Wi's (i=1 to n) and is 1.0.Therefore, in prediction-value counting circuit 26, because the cause of rounding error, the variation of the level of the HD pixel data of gained may take place.Normalization circuit 27 is by carry out the variation that normalization can be eliminated level to the HD pixel data as indicated abovely.

Then, line-sequence converter circuit 28 doubles to handle the line data L1 that will feed back from prediction-value counting circuit 26 and L2 (L1 ' and L2 ') and is converted to line-sequence data by normalization circuit 27 by carrying out wire rate, so that horizontal cycle reduces by half.

Accompanying drawing 11 is depicted as with the wire rate that will be converted to HD signal (525p signal) on the SD signal (525i signal) and doubles to handle relevant analog waveform.The line data L1 that produces by prediction-value counting circuit 26 comprises line a1, a2, and a3 ..., data, and line data L2 comprises line b1, b2, b3 ..., data.

Line-sequence converter circuit 28 is compressed to half with each of line data L1 and L2 with respect to time shaft, alternately selects the data strip of compression, produces line-sequence output a0, b0, and a1, b11 ...

When being converted to HD signal (1050i signal) on SD signal (525i signal), line-sequence converter circuit 28 produces line-sequence output so that odd number field (o) and even number field (e) are staggered.Therefore, according to the operation-appointed information from register 30 feedbacks, line-sequence converter circuit 28 need switch its operation between the situation that is converted to HD signal (1050i signal) on situation that is converted to HD signal (525p signal) on the SD signal (525i signal) and the SD signal (525i signal).

As indicated above, image-signal processor 10 calculates HD pixel data y according to the regulated value coefficient of utilization data W i (i=1 to n) of parameter h and v according to estimate equation.Therefore, the picture quality that allows the user to regulate the HD signal neatly and smoothly with respect to horizontal resolution axle and vertical resolution axle by the value of regulating parameter h and v.

In image-signal processor 10,, therefore, advantageously, do not need to store in advance excessive memory of data because coefficient produces circuit 36 and produces the coefficient data of each classification according to the value of parameter h and v when each user regulates this value.

As mentioned before, for every kind of conversion method and every kind, 35 storages of information stores body are by carrying out many coefficient-seed datas that study produces in advance.Hereinafter be described in the generation coefficient-seed data W that uses in the generation equation of expression in the equation (5) ₁₀To W _N9The example of method.

For following description, ti (i=0 to 9) is as defining in following formula (7):

t ₀＝1，t ₁＝v，t ₂＝h，t ₃＝v ²，t ₄＝vh，t ₅＝h ²，

t ₆＝v ³，t ₇＝v ²h，t ₈＝vh ²，t ₉＝h ³

……(7)

Formula (7) above using, formula (5) can be rewritten as following formula (8):

$W_i=\underset{i=0}{\overset{9}{\mathrm{\Σ}}}{W}_{\mathrm{ii}}{t}_i\·\·\·\·\·\·\left(8\right)$

At last, determine unknown coefficient W by carrying out study _XyMore particularly, for every kind of conversion method and every kind, the coefficient of square error sum minimum is determined by least square method by using many SD pixel datas and HD pixel data.

Represent the bar number of learning data with m, with ek be illustrated in k (residual error in the individual learning data of 1≤k≤m), and represent the square error sum with E, then square error sum E can pass through following formula (9) expression:

$E=\underset{k=1}{\overset{m}{\mathrm{\Σ}}}e$

$=\underset{k=1}{\overset{m}{\mathrm{\Σ}}}{[y_k-(W_1{x}_{1K}+W_2{x}_{2K}+\·\·\·+W_n{x}_{\mathrm{nK}})]}^2$

$=\underset{k=1}{\overset{m}{\mathrm{\&Sigma;}}}{[y_k-[(t_0{w}_{10}+t_1{\mathrm{<figure-callout\; id="11"\; label="w"\; filenames="A200510070289.500951.png,A200510070289.501201.png"\; state="\{\{state\}\}">w</figure-callout>}}_{11}+\&CenterDot;\&CenterDot;\&CenterDot;+t_9{w}_{19})x_{1k}+\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;+(t_0{\mathrm{<figure-callout\; id="0"\; label="w\; n"\; filenames="A200510070289.500981.png,A200510070289.501001.png"\; state="\{\{state\}\}">w</figure-callout>}}_n+t_1{\mathrm{<figure-callout\; id="1"\; label="w\; n"\; filenames="A200510070289.501001.png,A200510070289.501011.png"\; state="\{\{state\}\}">w</figure-callout>}}_n+\&CenterDot;\&CenterDot;\&CenterDot;+t_9{w}_{n9})x_{\mathrm{nk}}\left]\right]}^2$

$=\underset{k=1}{\overset{m}{\mathrm{\&Sigma;}}}{[y_k-[(w_{10}+w_{11}v+\&CenterDot;\&CenterDot;\&CenterDot;+w_{19}{h}^3)x_{1k}+\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;+({\mathrm{<figure-callout\; id="0"\; label="w\; n"\; filenames="A200510070289.500981.png,A200510070289.501001.png"\; state="\{\{state\}\}">w</figure-callout>}}_n+w_{n1}v+\&CenterDot;\&CenterDot;\&CenterDot;+w_{n9}{h}^3)x_{\mathrm{nk}}\left]\right]}^2\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(9\right)$

Here x _IkBe illustrated in i the locational k bar of prediction tapped pixel data of SD image, and y _kThe k bar pixel data of the correspondence of expression HD image.

In least square method, with respect to w _XyThe partial differential of formula (9) obtains 0 w _XyObtain by following formula (10):

$\frac{\&PartialD;E}{\&PartialD;w_{\mathrm{ij}}}=\underset{k=1}{\overset{m}{\mathrm{\&Sigma;}}}2\left[\frac{\&PartialD;e_k}{{\&PartialD;w}_{\mathrm{ij}}}\right]e_k=-\underset{k=1}{\overset{m}{\mathrm{\&Sigma;}}}2t_j{x}_{\mathrm{ik}}{e}_k=0\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(10\right)$

X _IpjqAnd Y _IpDefine as shown in the formula (11) and (12):

$X_{\mathrm{ipjq}}=\underset{k=1}{\overset{m}{\mathrm{\&Sigma;}}}{x}_{\mathrm{ik}}{t}_p{x}_{\mathrm{jk}}{t}_q\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(11\right)$

$Y_{\mathrm{ip}}=\underset{k=1}{\overset{m}{\mathrm{\&Sigma;}}}{x}_{1k}{t}_p{y}_k\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(12\right)$

Then, equation (10) can be rewritten as the matrix by following formula (13) expression:

This equation is commonly referred to as normal equation.For example use scanning method (Gauss-Jordan eliminating) that the Wxy of normal equation is found the solution with design factor-seed data.

Accompanying drawing 12 is depicted as the schematic diagram of the method for generation coefficient-seed data as described above.From the HD signal, produce a plurality of SD signals.For example, define and be used for producing the horizontal bandwidth of filter of SD signal and the parameter h and the v of vertical bandwidth changes to present 9 values at every turn, produce 81 SD signals altogether from the HD signal.Based on the HD signal with as indicated above produce a plurality of SD signals and produce coefficient-seed data by carrying out study.

Coefficient-seed-data produce the structure of equipment

Accompanying drawing 13 is depicted as the structure that produces coefficient-seed-data generation equipment 50 of coefficient-seed data according to above-mentioned scheme.

Produce in the equipment 50 at coefficient-seed-data, as the HD signal (525p signal or 1050i signal) of instruction signal by input terminal 51 inputs, SD-signal generating circuit 52 by to the HD signal on the level with vertical on ten take out one and produce the SD signal.

SD-signal generating circuit 52 is selected first conversion method (conversion from the 525i signal to the 525p signal) or second conversion method (conversion from the 525i signal to the 1050i signal), and produces the SD signal by selected conversion method.

That is, when selecting first conversion method, SD-signal generating circuit 52 produces SD signal (525i signal) (with reference to the accompanying drawings 4) by HD signal (525p signal) ten being taken out one.On the other hand, when selecting second conversion method, SD-signal generating circuit 52 produces SD signal (525i signal) (with reference to the accompanying drawings 5) by HD signal (1050i signal) ten being taken out one.

In case receive parameter h and v as control signal, SD-signal generating circuit 52 changes horizontal bandwidth and the vertical bandwidth that is used for producing from the HD signal filter of SD signal according to parameter h and v.

The instantiation of filter is described now.As first example, the bandwidth filter that use constitutes at the bandwidth filter by the bandwidth filter of limit levels bandwidth and restriction vertical bandwidth, as shown in Figure 14, the frequency characteristic of the step value of design consideration parameter h or v, and carry out reverse fourier transform, formed the firstorder filter that has according to the frequency characteristic of the step value of parameter h or v thus.

As second example, when the filter that the single order Gaussian filter that uses by the single order Gaussian filter of limit levels bandwidth and restriction vertical bandwidth constitutes, the single order Gaussian filter can pass through following formula (14) and represent:

$\mathrm{Out}=\frac{1.0}{\mathrm{\&sigma;}\sqrt{2.0\mathrm{\&pi;}}}{e}^{\frac{-{(4.0x-37)}^2}{{2.0\mathrm{\&sigma;}}^1}}\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(14\right)$

Therefore, by changing the value of standard deviation according to the step value of parameter h or v, can form the single order Gaussian filter that has according to the frequency characteristic of the step value of parameter h or v.

As the 3rd example, using the second order filter F (h that determines its level and vertical frequency characteristic by parameter h and v, during the filter that v) constitutes, be similar to above-described firstorder filter, the second order frequency characteristic of the step value of design consideration parameter h and v, and carry out the second order inverse Fourier transform, formation has the second order filter according to the second order frequency characteristic of the step value of parameter h and v.

In addition, coefficient-seed-data produce equipment 50 and are included in first to the 3rd tap selection circuit 53 to 55 that is connected in parallel on the output stage of SD-signal generating circuit 52.Near many SD pixel datas of the pixel of circuit 53 to 55 from extract the subject pixel that is arranged in HD signal (525p signal or 1050i signal) selectively from the SD signal (525i signal) of SD-signal generating circuit 52 feedbacks are selected in tap.

Circuit 20 to 22 ground structure is selected in first to the 3rd tap that first to the 3rd tap selects circuit 53 to 55 to be similar in accompanying drawing 1.First to the 3rd tap selects circuit 53 to 55 according to select the tap-positional information of control circuit 56 feedbacks to select tap from tap.

Tap is selected control circuit 56 according to the method for selecting tap-positional information to be sent to first to the 3rd tap based on the control signal from external feedback from first and second conversion methods and is selected circuit 53 to 55.

Tap selects control circuit 56 according to the move tap-positional information of relatively large situation of the tap-positional information or be used to of less relatively situation of selecting to be used to move of the sports category information MV from motion-classification testing circuit 58 feedbacks, and tap-positional information is sent to second tap selection circuit 54.

Second tap selection circuit 54 extracts the space-classification-tap data (SD pixel data) of the classification related with the distribution pattern of SD pixel data selectively, and space-classification-tap data are sent to space-classification testing circuit 57.

The pattern of the distribution of the level of space-space-classification-tap data (SD pixel data) that classification testing circuit 57 detections passing through second tap selection circuit 54 extracts selectively, and, corresponding classification information is sent to classification combinational circuit 59 based on the mode detection spaces category of the distribution of level.

Space-classification testing circuit 57 is similar to the space-classification testing circuit 23 ground structure of image-signal processor 10.Space-classification testing circuit 57 will send to classification combinational circuit 59 as spaces category information as the qi of quantization encoding again of every SD pixel data of space-classification-tap data.

The 3rd tap selects circuit 55 to extract the motion-classification-tap data (SD pixel) that are used for based on classification of motions selectively, and will move-classification-tap data send to motion-classification testing circuit 58.

Motion-classification testing circuit 58 detects main expression and selects the sports category of the movement degree of motion-classification-tap data (SD pixel data) that circuit 55 extracts selectively by the 3rd tap, and corresponding classification information MV is sent to classification combinational circuit 59.

Motion-classification testing circuit 58 is similar to the motion-classification testing circuit 24 ground structure of image-signal processor 10.Motion-classification testing circuit 58 calculates frame difference from motion-classification-tap data (SD pixel data), and the average absolute threshold application of this difference is handled, and detects the sports category of expression movement degree thus.

Classification combinational circuit 59 based on from the space-the spaces category information of classification testing circuit 57 feedback and from the classification that the sports category information MV of motion-classification testing circuit 58 feedbacks produces the affiliated classification of the subject pixel of represent HD signal (525p signal or the 1050i signal) CL that encodes.Classification combinational circuit 59 is similar to the classification combinational circuit 25 ground structure of image-signal processor 10.

Based on as the HD pixel data y of the subject pixel data that from the HD signal of input terminal 51 feedback, obtain, related with every HD pixel data y pass through first tap select prediction-tap data (SD pixel data) xi that circuit 53 extracts selectively and with the classification that every HD pixel data y feeds back from the classification combinational circuit 59 relatedly CL that encodes, 60 generations of normal equation generator are used to calculate the coefficient-seed data W of each classification ₁₀To W _N9Normal equation (with reference to equation (13)).

At this moment, because sequentially exporting, SD-signal generating circuit 52 changing the level of filter and produced simultaneously a plurality of SD signals of vertical bandwidth with step-by-step system according to parameter h and v, therefore normal equation generator 60 has produced the normal equation of depositing many learning datas thus based on many learning datas of combination results of wall scroll HD pixel data y and the n bar prediction tapped pixel data related with this HD pixel data y.

Though do not illustrate, on the first prime of first tap selection circuit 53, can provide delay circuit to select the sequential of circuit 53 to normal equation generator 60 feedback SD pixel data xi to regulate from first tap.

In case receive the normal equation data of each classification from normal equation generator 60, coefficient-seed-data calculator 61 is for example found the solution the normal equation of each classification by scanning method, with the coefficient-seed data W that calculates each classification ₁₀To W _N9, packing coefficient in coefficient-kind of quantum memory 62-seed data W ₁₀To W _N9

Based on the HD signal with use SD signal that the filter of the bandwidth of relative narrower produces from the HD signal to produce HD signal by coefficient-seed data of carrying out study and calculating with relative higher resolution.On the other hand, based on the HD signal with use SD signal that the filter of the bandwidth of relative broad produces from the HD signal to produce HD signal with relatively low resolution by coefficient-seed data of carrying out study and calculating.

As indicated above, coefficient-seed-data produces equipment 50 and produces a plurality of SD signals based on the HD signal sequence ground that feeds back to wherein, and will be stored in the coefficient-seed data W of each classification in the information stores body 35 of the image-signal processor 10 shown in the accompanying drawing 1 by first or second conversion method generation with each SD signal association ₁₀To W _N9

Resolution adjustment according to first embodiment

In the television receiver shown in the accompanying drawing 11, when selecting image-quality adjustment pattern, under the situation based on separate parameter regulation picture quality when keeping relevant, as regulate resolution or suppress the situation of degree of noise, but with opposite based on the situation of single parameter regulation picture quality, as regulate the situation of contrast or acutance, the result of polytype adjusting can be used as on the display screen 12A of static result's while display 12, therefore allows the user by directly watching and comparing still image and regulate picture quality.

Hereinafter be described in the situation of specifying the resolution of adjusting for adjusting picture quality user.At first, the display screen 12A that is applied in display 12 goes up video image displayed, and when the user selected images-quality adjustment pattern by operating and remote controlling reflector 4, system controller 2 began at the resolution adjustment program RT1 shown in the accompanying drawing 15 from step SP0.Then, in step SP1, system controller 2 is superimposed upon the menu screen (not shown) of image-quality adjustment pattern on the display screen 12A.

Polytype menu of the adjusting of menu screen image quality (for example contrast, acutance, resolution and noise removing).In step SP2, system controller 2 is waited for the adjusting of user's given resolution.Then, in step SP3, system controller 2 stops image on the current display screen 12A that is presented at display 12 obtaining a frame still image, and shows a plurality of images corresponding to the specific scope of still image simultaneously in the zoning of single frames.

For example, quantity at corresponding image is 4 o'clock, as shown in Figure 16, original image PS is not presented in the upper left zone of display screen 12A of display 12 (this image is hereinafter referred to as with reference to original image) with regulating parameter ground former state, and three images (hereinafter referred to as the regulating image) PX to PZ that is used for regulating parameter is presented at upper right, the lower-left of display screen 12A and the zone of bottom right.

In addition, shown in accompanying drawing 17A, in reference original image PS, the two-dimensional coordinate system CDT that has superposeed and defined by at the parameter axle that is used to define on the vertical and horizontal axis of horizontal resolution and vertical resolution.In addition, for reference original image PS and adjusting image PX to PZ, icon MS that represents star, spider, circle and triangular marker by superposeing and MZ to MZ indicate the position corresponding to current level and vertical resolution in two-dimensional coordinate system CDT.

Use the reference original image PS of demonstration simultaneously and regulate image PX to PZ, in step SP4, system controller 2 waits for that the user by remote control transmitter 4 operates one that specifies among adjusting image PX, PY and the PZ.Then, in step SP5, with reference to adjusting image PX, the PY or the level of PZ and the current parameter of vertical resolution that define appointment, system controller 2 is set to difference in the parameter related with regulating image PX to PZ, shown in accompanying drawing 17B.

At this moment, system controller 2 waits for according to the user's of remote control transmitter 4 operation and specifies one that regulates among image PX, PY and the PZ, and allows the adjusting based on the parameter of adjusting image PX, the PY of the operation appointment by remote control transmitter 4 or PZ.

In this state, when on a certain direction, operating the action bars, cross button etc. of remote control transmitter 4 the user, system controller 2 moves among the icon MX to MZ that shows adjusting image PX, PY or related icon MX, MY or the MZ of PZ with appointment in reference original image PS according to this operation, and regulate other the adjusting image resolution so that with reference to the resolution of adjusting image PX, the PY of appointment or PZ near this resolution.

Then, in step SP6, system controller 2 determines that whether resolution operate fixing by the user of remote control transmitter 4.When negating, turn back to step SP4 in the result of step SP6, system controller 2 is specified among adjusting image PX, PY with the required resolution of user and the PZ by the time, and repeats above-mentioned step.

On the other hand, in the result of step SP6 when being sure, it shows that adjusting image PX, the PY of user's appointment or the resolution of PZ fixes as the result who regulates.Then, in step SP7, system controller 2 determines whether to withdraw from image-quality adjustment pattern.

, turn back to step SP1 in the result of step SP7 whether regularly, the menu screen (not shown) of system controller 2 display images-quality adjustment pattern repeats above-mentioned step.On the other hand, when being sure, proceed to step SP8 in the result of step SP7, system controller 2 withdraws from resolution adjustment program RT1.

As indicated above, in television receiver 1, when keeping correlation simultaneously based on separate parameter regulation picture quality, as the situation of regulating resolution, the adjusting image PX to PZ with different picture quality is simultaneously displayed on the display screen 12A of display 12.Therefore, by directly with it with other the adjusting image relatively, the user can easily specify adjusting image PX, PY or PZ.

At this moment, in television receiver 1, when specifying adjusting image PX, PY with required resolution or PZ among a plurality of adjusting image PX, PY that the display screen 12A from display 12 shows and PZ, the resolution of other adjusting image is approaching with reference to adjusting image PX, PY or the PZ of appointment.Therefore, show the candidate of other adjusting image as the required resolution of user.

When from regulate image PX to PZ, specifying adjusting image PX, PY with required resolution or PZ, the value that defines except the parameter of the resolution of adjusting image PX, the PY of appointment or the adjusting image the PZ is restrained pro rata so that finally realize the resolution that the family is required with specifying the number of times that repeats at every turn.

More particularly, in the resolution adjustment program RT1 shown in the accompanying drawing 15, select resolution adjustment (step SP2) in the menu screen of image-quality adjustment pattern, system controller 2 begins at the parameter setting program RT2 shown in the accompanying drawing 18 from step SP10.Then, in step SP11, system controller 2 shows simultaneously that in the zone of the division of the display screen 12A of display 12 one is regulated image PX to PZ as a frame (step SP13) with reference to original image PS and three, and gives the parameter setting initial value of regulating image PX to PZ.

More particularly, the parameter of representing to regulate image PX to PZ respectively with PX, PY and PZ, 0 sets and gives parameter Px, and N/2+1 sets to parameter Py, and N sets to parameter Pz, and N is the natural number of being scheduled to here.

Each is made of these parameters PX, PY and PZ parameter h that defines horizontal resolution and the parameter v that defines vertical resolution, as mentioned before, be expressed as respectively (hx, vx), (hy, vy) and (hz, vz).

Then, in step SP12, system controller 2 determines whether select (step SP4) by appointment adjusting image PX, PY or PZ based on the value of the parameter PX, the PY that regulate image PX, PY or PZ or PZ.

When the result of step SP12 was sure, it showed that the user has specified adjusting image PX, PY or the PZ with required resolution in regulating image PX to PZ.In step SP3, system controller 2 makes selects counting k to increase progressively (initial value is 0) 1 then.Then, in step SP14, system controller 2 changes the value (step SP5) of three parameter PX to PZ.

In step SP14, with reference to related parameter PX, PY of adjusting image PX, the PY of appointment or PZ (Px=N when the k=0, Py=N/2+1 is with Pz=0) or the value of PZ, system controller 2 passes through general ± N/2 ^k(k represent select counting) is increased to the new value (accompanying drawing 19) of setting other parameter in other the value of parameter.When the new value of these parameters is not fallen in 0 to N the scope at all, revise these values so that they drop in 0 to N the scope.That is, be less than or equal at 0 o'clock in the value of parameter PX, PY or PZ and set 0, and set N during more than or equal to N in the value of parameter PX, PY or PZ.

Then, in step SP15, system controller 2 determines whether the upper limit N of the value of parameter PX, PY or PZ becomes less than 2 ^kPerhaps the user has fixed resolution (step SP6).When being sure, in step SP16, system controller 2 withdraws from parameter setting program RT2 in the result of step SP15.

On the other hand, when the result of step SP15 was to negate, it shows can not regulate the adjusting that resolution or user have withdrawed from resolution.Then, turn back to step SP12, system controller 2 is waited for next value of selecting parameter PX, PY or PZ, and repeats above-mentioned step.

As indicated above, in television receiver 1, in that the user is each when specifying adjusting image PX, PY with required resolution or PZ, revise the corresponding parameter PX to PZ that regulates image PX to PZ value so that the resolution of other adjusting image respectively near adjusting image PX, the PY of appointment or the resolution of PZ.Therefore, regulate image PX, PY or PZ by repeatedly specifying simply, the user can realize converging to required resolution.

In television receiver 1, when regulating resolution mentioned abovely, system controller 2 reads two field picture based on the SD signal (525i signal) of storage in first frame memory 9, and regulate parameter, and regulate image PX, PY and PZ is stored in second frame memory 11 with reference to original image PS with based on three of resolution HD signal (525p signal or 1050i signal) with one corresponding to the image of 1/4th sizes of this two field picture.

Then, system controller 2 is so that specific sequential will with reference to original image PS and the adjusting image PX, the PY that store in second frame memory 11 or PZ sends to combiner 14 so that these images form a frame on the display screen 12A of display 12.

In addition, system controller 2 sends to osd circuit 13 according to the reading command that user's operation will be used to regulate the adjusting parameter of image PX, PY or PZ.Then, osd circuit 13 will send to combiner 14 according to the display mode (the icon MS and the MX to MZ of the two-dimensional coordinate system CDT in accompanying drawing 17 and expression star, spider, circle and triangular marker) of the adjusting parameter of reading command.

Then, system controller 2 is used from the display mode of osd circuit 13 feedbacks and is fed back to the reference original image PS of combiner 14 and regulate image PX to PZ from image-signal processor 10 by 11 combinations of second frame memory, and shows the two field picture based on the picture signal of gained on the display screen 12A of display 12.

The display screen 12A that osd circuit 13 is illustrated in display 12 shows that upward the display position signal SDP of the position of display mode sends to system controller 2.Therefore, system controller 2 always can find on the display screen 12A of display 12 current demonstration based on the place of the display mode of display position signal SD.

The operation of first embodiment and advantage

In the television receiver 1 of constructing as indicated abovely, when keeping correlation simultaneously based on separate parameter regulation picture quality, as regulate the situation of resolution, showing on the zone of dividing that the image corresponding with the specific scope of the still image that obtains the video image displayed from the display screen 12A at display 12 is to form a frame.

Corresponding image is used as one with reference to original image PS and a plurality of adjusting image PX to PZ.On reference original image PS, stack two-dimensional coordinate system CDT and corresponding icon MS and the MX to MZ that regulates the current resolution of image PX to PZ of expression, and set initial value so that these images have different resolution for adjusting image PX to PZ.

When adjusting image PX, PY that uses remote control transmitter 4 from the adjusting image PX to PZ that the display screen 12A at display 12 shows, to specify to have required resolution the user or PZ, with reference to adjusting image PX, PY or the PZ of appointment, revise the level of the adjusting image that defines other and the parameter value of vertical resolution.

At this moment, in the display screen 12A of display 12, shown reference original image PS with original resolution, have current required resolution appointment adjusting image PX, PY or PZ and have other adjusting image with reference to the approaching resolution of the resolution of adjusting image PX, the PY of appointment or PZ.Therefore, regulate image PX to PY, allow the user to specify adjusting image with required resolution by directly being compared to each other.

In addition, when in the adjusting image PX to PZ that the user shows, specifying adjusting image PX, PY with required resolution or PZ from the display screen 12A of display 12, with reference to the adjusting image of appointment near the resolution of other adjusting image so that show the candidate of other adjusting image as the desirable resolution of user.

, make except specified adjusting image PX, PY or the parameter value of the adjusting image the PZ and the number of repetition of appointment and restrain pro rata when adjusting image PX to the PZ middle finger that shows is seted the tone joint image PX, PY or PZ each user.Therefore, can finally show adjusting image with the required resolution of user.

Therefore, when the user regulates resolution, specify required resolution by repeatedly watching shown adjusting image simply, can be implemented to the convergence of required resolution.Therefore, even by regulating independently that parameter is regulated picture quality and when keeping correlation simultaneously, as the situation of regulating resolution, can easily visually check the picture quality before regulating and regulate after picture quality.In addition, picture quality can be easily regulated, and a plurality of parameters need not be regulated simultaneously arduously.

According to description above, in television receiver 1, when regulating resolution, adjusting image PX to PZ corresponding to identical still image is simultaneously displayed on the display screen 12A of display 12, adjusting image PX, PY or PZ with reference to user's appointment, near other the resolution of adjusting image, and show the candidate of the image of gained as the required resolution of user.In addition, when each user specifies adjusting image PX, PY with required resolution or PZ, the value that defines except the parameter of the resolution of specified adjusting image PX, PY or the adjusting image the PZ is restrained pro rata with specifying the number of times that repeats, therefore finally can show adjusting image with the required resolution of user.Therefore, specify required resolution simply repeatedly by watching shown adjusting image, the user can realize required resolution.Therefore, television receiver 1 allows to regulate more easily picture quality.

(2) second embodiment

(2-1) produce the method for coefficient-seed data according to second embodiment

The method of generation coefficient-seed data according to a second embodiment of the present invention then, is described.Second embodiment will be with reference to the coefficient-seed data W that wherein calculates as the coefficient data in the generation equation of equation (5) expression ₁₀To W _N9The situation of example under describe.

Accompanying drawing 20 is depicted as the scheme of the method for generation coefficient-seed data.At first, from the HD signal, produce a plurality of SD signals.For example, for each HD signal, change be used for making the horizontal bandwidth of filter and parameter h that vertical bandwidth changes and v each to have 9 values, produce 81 SD signals thus altogether.For each the SD signal that produces as described above, carry out study by method described below based on SD signal and HD signal, be created in the coefficient data Wi that uses in the estimate equation of equation (4) expression.Then, coefficient of utilization data W i (i=1 to n) produces coefficient-seed data W ₁₀To W _N9

At first, calculate the coefficient data Wi of the estimate equation of explaining at equation (4) by least square method.As general example, represent to import data with X, W represents coefficient data, and Y represents predicted value, considers the observational equation of following equation (15) expression.

XW＝Y

$X=\left[\begin{array}{cccc}{x}_{11}& x_{12}& ...& x_{1n}\\ x_{21}& x_{22}& ...& x_{2n}\\ ...& ...& ...& ...\\ x_{m1}& {\mathrm{<figure-callout\; id="2"\; label="x\; m"\; filenames="A200510070289.500951.png,A200510070289.501201.png"\; state="\{\{state\}\}">x</figure-callout>}}_m& ...& x_{\mathrm{mn}}\end{array}\right].W=\left[\begin{array}{c}{W}_1\\ {\mathrm{<figure-callout\; id="2"\; label="W"\; filenames="A200510070289.500951.png,A200510070289.501201.png"\; state="\{\{state\}\}">W</figure-callout>}}_2\\ ...\\ W_n\end{array}\right],Y=\left[\begin{array}{c}{y}_1\\ {\mathrm{<figure-callout\; id="2"\; label="y"\; filenames="A200510070289.500951.png,A200510070289.501201.png"\; state="\{\{state\}\}">y</figure-callout>}}_2\\ ...\\ y_m\end{array}\right]\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(15\right)$

In formula (15), m represents the bar number of learning data, and n represents the quantity of prediction tapped.

Least square method is applied to according in the data of collecting at the observational equation of formula (15) expression.Based on the observational equation of expression in formula (15), hereinafter consider residual equation in formula (16) expression:

$\mathrm{XW}=Y+E,E=\left[\begin{array}{c}{e}_1\\ {\mathrm{<figure-callout\; id="2"\; label="e"\; filenames="A200510070289.500951.png,A200510070289.501201.png"\; state="\{\{state\}\}">e</figure-callout>}}_2\\ ...\\ e_m\end{array}\right]\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(16\right)$

According to the residual equation of formula (16) expression, infer every coefficient data Wi most probable value be e in the formula (17) that makes below ²Minimum value:

$e^2=\underset{i=1}{\overset{m}{\mathrm{\&Sigma;}}}{e_i}^2\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(17\right)$

That is, calculate and to make following formula (18) satisfy the W1 of n condition based on i, W2 ..., the value of Wn is as coefficient data:

$e_1\frac{\&PartialD;{\mathrm{<figure-callout\; id="1"\; label="e"\; filenames="A200510070289.501001.png,A200510070289.501011.png"\; state="\{\{state\}\}">e</figure-callout>}}_1}{\&PartialD;w_i}+e_2\frac{\&PartialD;{\mathrm{<figure-callout\; id="2"\; label="e"\; filenames="A200510070289.500951.png,A200510070289.501201.png"\; state="\{\{state\}\}">e</figure-callout>}}_2}{\&PartialD;w_i}+\&CenterDot;\&CenterDot;\&CenterDot;+e_m\frac{\&PartialD;e_m}{\&PartialD;w_i}=0(i=\mathrm{1,2},...,n)\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(18\right)$

Therefore, from the residual equation of formula (16) expression, obtain following equation (19):

$\frac{\&PartialD;e_i}{\&PartialD;{\mathrm{<figure-callout\; id="1"\; label="w"\; filenames="A200510070289.501001.png,A200510070289.501011.png"\; state="\{\{state\}\}">w</figure-callout>}}_1}=x_{\mathrm{<figure-callout\; id="1"\; label="i"\; filenames="A200510070289.501001.png,A200510070289.501011.png"\; state="\{\{state\}\}">i</figure-callout>}1},\frac{\&PartialD;e_i}{\&PartialD;{\mathrm{<figure-callout\; id="2"\; label="w"\; filenames="A200510070289.500951.png,A200510070289.501201.png"\; state="\{\{state\}\}">w</figure-callout>}}_2}=x_{\mathrm{<figure-callout\; id="2"\; label="i"\; filenames="A200510070289.500951.png,A200510070289.501201.png"\; state="\{\{state\}\}">i</figure-callout>}2},\&CenterDot;\&CenterDot;\&CenterDot;,\frac{\&PartialD;e_i}{\&PartialD;w_n}=x_{\mathrm{in}}(i=\mathrm{1,2},...,m)\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(19\right)$

In addition, from formula (19) and formula (15) that preamble provides, obtain following equation (20):

$\underset{i=1}{\overset{m}{\mathrm{\&Sigma;}}}{e}_i{x}_{i1}=0,\underset{i=1}{\overset{m}{\mathrm{\&Sigma;}}}{e}_i{x}_{i2}=0,\&CenterDot;\&CenterDot;\&CenterDot;,\underset{i=1}{\overset{m}{\mathrm{\&Sigma;}}}{e}_i{x}_{\mathrm{in}}=0\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(20\right)$

From equation (20) and (16), obtain the normal equation of following equation (21) expression;

$\left(\begin{array}{c}\left(\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{x}_{j1}{x}_{j1}\right){\mathrm{<figure-callout\; id="1"\; label="W"\; filenames="A200510070289.501001.png,A200510070289.501011.png"\; state="\{\{state\}\}">W</figure-callout>}}_1+\left(\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{x}_{j1}{x}_{j2}\right){\mathrm{<figure-callout\; id="2"\; label="W"\; filenames="A200510070289.500951.png,A200510070289.501201.png"\; state="\{\{state\}\}">W</figure-callout>}}_2+\&CenterDot;\&CenterDot;\&CenterDot;+\left(\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{x}_{j1}{x}_{\mathrm{jn}}\right)W_n\\ =\left(\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{x}_{j1}{y}_j\right)\\ \left(\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{x}_{j2}{x}_{j1}\right){\mathrm{<figure-callout\; id="1"\; label="W"\; filenames="A200510070289.501001.png,A200510070289.501011.png"\; state="\{\{state\}\}">W</figure-callout>}}_1+\left(\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{x}_{j2}{x}_{j2}\right){\mathrm{<figure-callout\; id="2"\; label="W"\; filenames="A200510070289.500951.png,A200510070289.501201.png"\; state="\{\{state\}\}">W</figure-callout>}}_2+\&CenterDot;\&CenterDot;\&CenterDot;+\left(\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{x}_{j2}{x}_{\mathrm{jn}}\right)W_n\\ =\left(\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{x}_{j2}{y}_j\right)\\ \&CenterDot;\&CenterDot;\&CenterDot;\\ \left(\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{x}_{\mathrm{jn}}{x}_{j1}\right){\mathrm{<figure-callout\; id="1"\; label="W"\; filenames="A200510070289.501001.png,A200510070289.501011.png"\; state="\{\{state\}\}">W</figure-callout>}}_1+\left(\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{x}_{\mathrm{jn}}{x}_{j2}\right){\mathrm{<figure-callout\; id="2"\; label="W"\; filenames="A200510070289.500951.png,A200510070289.501201.png"\; state="\{\{state\}\}">W</figure-callout>}}_2+\&CenterDot;\&CenterDot;\&CenterDot;+\left(\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{x}_{\mathrm{jn}}{x}_{\mathrm{jn}}\right)w_n\\ =\left(\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{x}_{\mathrm{jn}}{y}_j\right)\end{array}\right.\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(21\right)$

Owing to can produce the normal equation of expression in the equation (21) with the number n equal number of unknown number, therefore can calculate the most probable value of every coefficient data Wi.For example use scanning method (Gauss-Jordan exclusive method) to find the solution simultaneous equations in this case.

Then, use the coefficient data Wi (i=1 to n) that produces for each SD signal, design factor-seed data W ₁₀To W _N9At first, carry out study, obtaining the coefficient data k of each classification by using the SD signal related with parameter h and v _VhiWhen (i represents the index of prediction tapped), from coefficient data k _VhiMiddle such other coefficient-seed data that calculates.

Coefficient of utilization-seed data W ₁₀To W _N9Can represent coefficient data bar Wi by equation (5).When least square method being applied among the coefficient data Wi, use the ti in the equation (7), can represent surplus e by following formula (23) _Vhi:

e _vhi＝k _vhi-(w _i0+w _i1v+w _i2h+w _i3v ²+w _i4vh+w _i5h ²

+w _i6v ³+w _i7v ²h+w _i8vh ²+w _i9h ³)

$=k_{\mathrm{vhi}}-\underset{i=0}{\overset{9}{\mathrm{\&Sigma;}}}{w}_{\mathrm{ij}}{t}_j\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(22\right)$

Least square method is applied to equation (22) obtains following equation (23):

$\frac{\&PartialD;}{\&PartialD;w_{\mathrm{ij}}}=\underset{y}{\mathrm{\&Sigma;}}\underset{h}{\mathrm{\&Sigma;}}{\left(e_{\mathrm{vhi}}\right)}^2=\underset{y}{\mathrm{\&Sigma;}}\underset{h}{\mathrm{\&Sigma;}}2\left[\frac{\&PartialD;e_{\mathrm{vhi}}}{\&PartialD;w_{\mathrm{ij}}}\right]e_{\mathrm{vhi}}=-\underset{y}{\mathrm{\&Sigma;}}\underset{h}{\mathrm{\&Sigma;}}2t_j{e}_{\mathrm{vhi}}=0\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(23\right)$

Be defined in the X in equation (24) and (25) as follows _JkWith _Yj:

$X_{\mathrm{jk}}=\underset{v}{\mathrm{\&Sigma;}}\underset{h}{\mathrm{\&Sigma;}}{t}_j{t}_k\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(24\right)$

$Y_j=\underset{v}{\mathrm{\&Sigma;}}\underset{h}{\mathrm{\&Sigma;}}{t}_i{k}_{\mathrm{vhi}}\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(25\right)$

Then, equation (23) is rewritten as following equation (26):

Equation (26) also is a normal equation.Can design factor-seed data W by general solution such as scanning method solving equation (26) ₁₀To W _N9

Accompanying drawing 21 is depicted as the structure that produces equipment 70 according to coefficient-seed of second embodiment-data.In accompanying drawing 21, represent by identical label with the parts corresponding components that produces equipment 50 in the coefficient-seed shown in the accompanying drawing 13-data, therefore save detailed description to them.

Produce in the equipment 70 in the coefficient-seed shown in the accompanying drawing 21-data, based on every HD pixel data y as the subject pixel data that from the HD signal (525p signal or 1050i signal) of input terminal feedback, obtain, related with every HD pixel data y pass through first tap select prediction-tap data (SD pixel data) xi that circuit 53 extracts selectively and with the classification of every the related ground of HD pixel data y feedback from classification combinational circuit 59 CL that encodes, 71 calculating of normal equation generator are used to obtain the normal equation (with reference to equation (21)) of the coefficient data Wi (i=1 to n) of each classification.

At this moment, because SD-signal generating circuit 52 sequentially produces a plurality of SD signals in level that changes filter according to parameter h and v with step-by-step system and vertical bandwidth, therefore normal equation generator 60 has produced the normal equation of depositing many learning datas thus based on many learning datas of combination results of a HD pixel data y and the n bar prediction tapped pixel data related with this HD pixel data y.

In case received the data of the normal equation of normal equation generator 71 generations, coefficient-data calculator 72 is found the solution normal equation with the coefficient data Wi of calculating with each classification of SD signal association.

Then, the coefficient data Wi of each classification of use and SD signal association, normal equation generator 73 produces the coefficient-seed data W that is used to calculate each classification ₁₀To W _N9Normal equation (with reference to equation (26)).

In case received the data of the normal equation that produces by normal equation generator 73, coefficient-seed-74 pairs of normal equations of data calculator are found the solution with design factor-seed data W ₁₀To W _N9, and with coefficient-seed data W ₁₀To W _N9Be stored in coefficient-kind of the quantum memory 62 of its space based on category division.

As indicated above, also be to produce in the equipment 70 in the coefficient-seed shown in the accompanying drawing 21-data, produce a plurality of SD signals based on the HD signal sequence ground that feeds back to wherein, and can produce the coefficient-seed data W of each classification in the information stores body 35 of the image-signal processor 10 that will be stored in shown in the accompanying drawing 1 according to each SD signal based on first or second conversion method ₁₀To W _N9

In the image-signal processor shown in the accompanying drawing 1 10, the generation equation of equation (5) expression is used to produce coefficient data Wi (i=1 to n).Replacedly, for example can use following formula (27) or formula (28):

W ₁＝w ₁₀+w ₁₁v+w ₁₂h+w ₁₃v ²+w ₁₄h ²+w ₁₅v ³+w ₁₆h ³

W ₂＝w ₂₀+w ₂₁v+w ₂₂h+w ₂₃v ²+w ₂₄h ²+w ₂₅v ³+w ₂₆h ³



W _i＝w _i0+w _i1v+w _i2h+w _i3v ²+w _i4h ²+w _i5v ³+w _i6h ³



W _n＝w _n0+w _n1v+w _n2h+w _n3v ²+w _n4h ²+w _n5v ³+w _n6h ³

……(27)

W ₁＝w ₁₀+w ₁₁v+w ₁₂h+w ₁₃v ²+w ₁₄vh+w ₁₅h ²

W ₂＝w ₂₀+w ₂₁v+w ₂₂h+w ₂₃v ²+w ₂₄vh+w ₂₅h ²

W ₁＝w ₁₀+w ₁₁z+w ₁₂z ²+w ₁₃z ³

W ₂＝w ₂₀+w ₂₁z+w ₂₂z ²+w ₂₃z ³



W _i＝w _i0+w _i1z+w _i2z ²+w _i3z ³



W _n＝w _n0+w _n1z+w _n2z ²+w _n3z ³

……(29)

W ₁＝w ₁₀+w ₁₁z+w ₁₂z ²

W ₂＝w ₂₀+w ₂₁z+w ₂₂z ²



W _i＝w _i0+w _i1z+w _i2z ²



W _n＝w _n0+w _n1z+w _n2z ²

……(30)

Replacedly, also can use multinomial or equation by the different orders of other function representation.

In addition, be similar to the coefficient-seed data W that produces as the coefficient data of the generation equation that comprises parameter h and v ₁₀To W _N9Situation, as the coefficient data of the generation equation that comprises parameter z can by as produce equipment 50 or produce equipment 70 generations at the coefficient-seed as shown in the accompanying drawing 13-data in the coefficient-seed as shown in the accompanying drawing 21-data.

In this case, produce in the equipment 50 or 70 in coefficient-seed-data, parameter z feeds back to SD-signal generating circuit 52 from the outside as control signal, and from HD signal generation SD signal the time, changes the degree that noise is increased to the SD signal with step-by-step system.Be increased to degree in the SD signal with the learning data that step-by-step system changes by depositing noise wherein, can produce the coefficient-seed data that is used to realize eliminate the continuous degree of noise.

Now, first to the 3rd instantiation that increases the method for noise according to the value of parameter z is described.In first example, shown in accompanying drawing 22A, the noise signal that its amplitude level changes with step-by-step system is increased in the SD signal to produce the SD signal that its noise level changes with step-by-step system.

In second example, shown in accompanying drawing 22B, the noise signal of constant amplitude level is increased in the SD signal, but the display screen area that noise signal is increased to wherein changes with step-by-step system.In the 3rd embodiment, shown in accompanying drawing 22C, the SD signal and being used for of preparing to be used to comprise a display screen of noise does not comprise the SD signal of a display screen of noise, and when producing normal equation, and in these SD signals each carried out study repeatedly.

For example, under the situation of " noise 0 ", the SD signal that does not comprise noise is carried out study once, under the situation of " noise i (i is not less than 0 integer) ", the SD signal that does not comprise noise is carried out study 30 times, and the SD signal that comprises noise is carried out study 70 times.

In this case, the learning system related with " noise i " produces the coefficient-seed data of the elimination noise with higher degree.By carrying out study changing as indicated abovely, can obtain to realize to eliminate the coefficient-seed data of the continuous degree of noise to the SD signal that do not comprise noise with when comprising the study number of times of SD signal of noise.

This method can be implemented based on the summation of normal equation.At first, carry out study is used for the situation of " noise 0 " and " noise i " with calculating the coefficient data of equation.Normal equation in this case can be expressed as previous given equation (21).

Now, with x _IjBe illustrated in i learning value of j and the locational SD pixel data of prediction tapped, with y _iI learning value of expression HD pixel data represented the coefficient of being correlated with, then P with Wi _IjAnd Q _jShown in following equation (31) and (32):

$P_{\mathrm{ij}}=\underset{P}{\mathrm{\&Sigma;}}{x}_{\mathrm{pi}}{x}_{\mathrm{pj}}\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(31\right)$

$Q_i=\underset{P}{\mathrm{\&Sigma;}}{x}_{\mathrm{pi}}{y}_p\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(32\right)$

Then, equation (21) is rewritten as following equation (33):

With [P1 _Ij] and [Q1 _i] be illustrated in the left side and the right side of equation (33) under the situation of study of SD signal that execution as indicated above do not comprise noise.Similarly, with [P2 _Ij] and [Q2 _i] be illustrated in the left side and the right side of equation (33) under the situation of study of SD signal that execution as indicated above comprises noise.In addition, [Pa _Ij] and [Qa _i] define as following formula (34) and (35):

[P _aij]＝(1-a)[P1 _ij]+a[P2 _ij] ……(34)

[Q _ai]＝(1-a)[Q1 _i]+a[P2 _i] ……(35)

Here 0≤a≤1.

Equation (36) expression below normal equation under the situation of a=0 can pass through:

[P _aij][W _i]＝[Q _ai] ……(36)

This is equivalent to the normal equation under the situation of " noise 0 " shown in the accompanying drawing 22C, and is equivalent to the normal equation under the situation of when a=0.7 " noise i ".

By in the value that changes a with step-by-step system, producing the normal equation of each noise level, obtain required coefficient-seed data.In this case, be similar to the situation that the coefficient-seed shown in the accompanying drawing 21-data produces equipment 70, from the normal equation of each noise level, calculate coefficient data Wi, and use this coefficient data can design factor-seed data.

Replacedly, by making up the normal equation of each noise level, can produce the normal equation of acquisition coefficient-seed data, such as equation (13).This method will be hereinafter described in more detail according to using equation (30) to produce under the situation of example of the normal equation that is used to form coefficient-seed data.

Generation in advance has the SD signal according to the noise level of the several values of parameter z, and carries out study.With [Pn _Ij] and [Pn _i] be illustrated in [P] and [Q] in equation (34) and (35).Then, the equation that had before provided (7) can be rewritten as following formula (37):

t ₀＝1，t ₁＝z，t ₂＝z ² ……(37)

In this case, equation (24) and (25) that before provided are rewritten as following equation (38) and (39) respectively:

$x_{\mathrm{ipjq}}=\underset{Z}{\mathrm{\&Sigma;}}{t}_p{t}_q{P}_{\mathrm{aij}}\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(38\right)$

$Y_{\mathrm{ip}}=\underset{Z}{\mathrm{\&Sigma;}}{t}_p{Q}_{2i}\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\&CenterDot;\left(39\right)$

The variable that rewriting is illustrated in these equations as the sum of the prediction tapped of m obtains following equation (40):

Coefficient-seed data W _IjCan pass through solving equation (40) calculates.

At the image-signal processor 10 shown in the accompanying drawing 1 according to such case description: wherein define level and the vertical resolution that the value of the parameter h of level and vertical resolution and v is regulated image by adjusting.Replacedly, for example, use the single parameter can adjusting level and vertical resolution.

In this case, for example explain as follows single parameter r:r=1 represent (h, v)=(1,1), r=2 represent (h, v)=(2,2) ..., or r=1 represent (h, v)=(1,2), r=2 represent (h, v)=(2,3) ...In this case, for example, the multinomial of r is as the generation equation that produces coefficient data Wi (i=1 to n).

At the image-signal processor 10 shown in the accompanying drawing 1 according to such case description: wherein define level and the vertical resolution that the value of the parameter h of level and vertical resolution and v is regulated image by adjusting.Replacedly, for example, the parameter z that can use the parameter r of the level of defining and vertical resolution and the degree that defines elimination (inhibition) noise is so that can be adjusted in the degree of the elimination noise in the image by the value of regulating parameter r and z.

When regulating the degree of eliminating noise, the generation equation as producing coefficient data Wi (i=1 to n), for example can use equation given below (41):

W ₁＝w ₁₀+w ₁₁r+w ₁₂z+w ₁₃r ²+w ₁₄rz+w ₁₅z ²

+w ₁₆r ³+w ₁₇r ²z+w ₁₈rz ²+w ₁₉z ³

W ₂＝w ₂₀+w ₂₁r+w ₂₂z+w ₂₃r ²+w ₂₄rz+w ₂₅z ²

+w ₂₆r ³+w ₂₇r ²z+w ₂₈rz ²+w ₂₉z ³



W _i＝w _i0+w _i1r+w _i2z+w _i3r ²+w _i4rz+w _i5z ²

+w _i6r ³+w _i7r ²z+w _i8rz ²+w _i9z ³



W _n＝w _n0+w _n1r+w _n2z+w _n3r ²+w _n4rz+w _n5z ²

+w _n6r ³+w _n7r ²z+w _n8rz ²+w _n9z ³

……(41)

Replacedly, also can use multinomial or equation by the different orders of other function representation.

The user interface of regulating a plurality of parameter r and z can be similar to shown in the accompanying drawing 2 constructs.More particularly, with reference to the accompanying drawings 23, represent and parts corresponding components in accompanying drawing 2 and 3 by identical label that in accompanying drawing 23 OSD-shows and regulate screen P2, wherein show the parameter r that represents by star icon M2 and the adjusting position of z.

By level on remote control transmitter 4 or vertical movement operation bar 4a, allow the user regulating on the screen freely mobile icon M2 on required direction.Therefore, allow the user to regulate the value and the value that defines the parameter r of resolution of the parameter z of the degree that defines elimination (inhibition) noise as required according to the position of icon M2.Replacedly, can be presented on the display screen with the form of numerical value by the parameter r of user's adjusting and the value of z.

Coefficient-seed data as the coefficient data that defines the generation equation that comprises parameter r and z can produce equipment 50 or coefficient-seed as shown in Figure 21-data generation equipment 70 generations by coefficient-seed-data as shown in Figure 13, is similar to the coefficient-seed data W that produces as the coefficient data Wi of the generation equation that comprises parameter h and v ₁₀To W _N9Situation.

In this case, produce in the equipment 50 or 70 in coefficient-seed-data, parameter r and z feed back to SD-signal generating circuit 52 from the outside as control signal.The SD signal according to the value of parameter r and z when the HD signal produces, the degree of level and vertical bandwidth and increase noise changes with step-by-step system.In degree, deposit learning data, can produce the coefficient-seed data of the continuous degree that realizes the elimination noise with step-by-step system change level and vertical bandwidth and increase noise.

Accompanying drawing 24 is depicted as the scheme of the method for generation coefficient-seed data.Produce a plurality of SD signals from the HD signal.For example, be used for from the HD signal produce each the parameter r of filter of SD signal and z value each all change with generation and have 9 values of 81 SD signals altogether.Produce coefficient-seed data by between HD signal and a plurality of SD signals of being produced, carrying out study.The value of parameter r and z can change to have the value more than 9.In this case, yet, though improved the precision of coefficient-seed data, the amount of calculation increase.

At the image-signal processor 10 shown in the accompanying drawing 1 according to such case description: wherein define level and the vertical resolution that the value of the parameter h of level and vertical resolution and v is regulated image by adjusting.Except parameter h and v, for example, can use the parameter z of the degree that defines elimination (inhibition) noise so that by regulating parameter h, the value of v and z can be regulated the level of image and the degree of vertical resolution and elimination noise.

In this case, the generation equation as producing coefficient data Wi (i=1 to n), for example can use equation given below (42):

W ₁＝w _{1_0}

+w _{1_1}v+w _{1_2}h+w _{1_3}z

+w _{1_4}v ²+w _{1_5}h ²+w _{1_6}z ²+w _{1_7}vh+w _{1_8}hz+w _{1_9}zv

+w _{1_10}v ³+w _{1_11}h ³+w _{1_12}z ³+w _{1_13}v ²h+w _{1_14}vh ²+w _{1_15}vhz

+w _{1_16}vz ²+w _{1_17}h ²z+w _{1_18}hz ²+w _{1_19}z ³

W ₂＝w _{2_0}

+w _{2_1}v+w _{2_2}h+w _{2_3}z

+w _{2_4}v ²+w _{2_5}h ²+w _{2_6}z ²+w _{2_7}vh+w _{2_8}hz+w _{2_9}zv

+w _{2_10}v ³+w _{2_11}h ³+w _{2_12}z ³+w _{2_13}v ²h+w _{2_14}vh ²+w _{2_15}vhz

+w _{2_16}vz ²+w _{2_17}h ²z+w _{2_18}hz ²+w _{2_19}z ³



W _i＝w _{i_0}

+w _{i_1}v+w _{i_2}h+w _{i_3}z

+w _{i_4}v ²+w _{i_5}h ²+w _{i_6}z ²+w _{i_7}vh+w _{i_8}hz+w _{i_9}zv

+w _{i_10}v ³+w _{i_11}h ³+w _{i_12}z ³+w _{i_13}v ²h+w _{i_14}vh ²+w _{i_15}vhz

+w _{i_16}vz ²+w _{i_17}h ²z+w _{i_18}hz ²+w _{i_19}z ³



W _n＝w _{n_0}

+w _{n_1}v+w _{n_2}h+w _{n_3}z

+w _{n_4}v ²+w _{n_5}h ²+w _{n_6}z ²+w _{n_7}vh+w _{n_8}hz+w _{n_9}zv

+w _{n_10}v ³+w _{n_11}h ³+w _{n_12}z ³+w _{n_13}v ²h+w _{n_14}vh ²+w _{n_15}vhz

+w _{n_16}vz ²+w _{n_17}h ²z+w _{n_18}hz ²+w _{n_19}z ³ …(42)

Replacedly, also can use multinomial or equation by the different orders of other function representation.

Regulate a plurality of parameter h, the user interface of v and z can be similar to shown in the accompanying drawing 2 and construct.More particularly, with reference to the accompanying drawings 25, represent and parts corresponding components in accompanying drawing 2 and 3 by identical label that in accompanying drawing 25 OSD-shows and regulates screen P3, wherein shows the parameter h that represents by star icon M3, the adjusting position of v and z.

By level on remote control transmitter 4 or vertical movement operation bar 4a, allow the user regulating on the screen freely mobile icon M3 on required direction.Therefore, allow the user to regulate the value and the parameter h and the v value that define level and vertical resolution of the parameter z of the degree that defines elimination (inhibition) noise as required according to the position of icon M3.

Define the value of the parameter h of horizontal resolution by mobile icon M3 adjusting flatly, the value of regulating the parameter v that defines vertical resolution by mobile icon M3 vertically, and the value of regulating the parameter z that defines the degree of eliminating noise by mobile icon M3 on depth direction.For example by tiltedly over the ground operating operation bar 4a on depth direction, can move this icon.

In this case, expressions such as size that can be by changing icon M3 on the depth direction, color density, tone.By the indicated such state of icon M3 ' indication of the dotted line in accompanying drawing 25: wherein the icon M3 that represents by solid line is moved on depth direction by the size that changes it.The parameter h that the user regulates, the value of v and z can be presented at the form of numerical value regulates on the screen P3.

As comprising parameter h, coefficient-the seed data of the coefficient data of the generation equation of v and z can produce by producing equipment 50 in the coefficient-seed shown in the accompanying drawing 13-data and producing equipment 70 in the coefficient-seed shown in the accompanying drawing 21-data, is similar to the coefficient-seed data W as the coefficient data Wi of the generation equation that comprises parameter h and v ₁₀To W _N9Situation.

In this case, produce in the equipment 50 or 70 in coefficient-seed-data, parameter h, v and z feed back to SD-signal generating circuit 52 from the outside as control signal.According to parameter h, when the value of v and z produces the SD signal from the HD signal, change degree and level and the vertical bandwidth that noise is increased to the SD signal with step-by-step system.By in the degree that increases noise and change level and vertical bandwidth, depositing learning data, can produce the coefficient-seed data that is used to realize eliminate the continuous degree of noise with step-by-step system.

Accompanying drawing 26 is depicted as the scheme of the method for generation coefficient-seed data.From the HD signal, produce a plurality of SD signals.For example, be used for producing from the HD signal parameter h of the filter of SD signal, each of v and z is worth each and changes to have 9 values to produce 729 SD signals altogether.Produce coefficient-seed data by between HD signal and a plurality of SD signals of being produced, carrying out study.Parameter h, the value of v and z can change to have more than 9 values.Yet, in this case,, increased amount of calculation though improved the precision of coefficient-seed data.

(2-2) according to the structure of the image processor of second embodiment

Can for example use at the image-signal processor shown in the accompanying drawing 27 with software implementation by the processing of carrying out at the image-signal processor shown in the accompanying drawing 1 10.

Comprise the read-only memory (ROM) of the CPU 81 of the overall operation of control appliance, operation sequence, coefficient-seed data etc. that storage is used for CPU 81 and as the random-access memory (ram) 83 of the service area of CPU 81, these parts all are connected to each other by bus 84 at the image-signal processor 80 shown in the accompanying drawing 27.

In addition, image-signal processor 80 comprises the hard disk drive (HDD) 85 and the floppy disk (FDD) 87 that is used to drive floppy disk 86 as external memory, and these parts all are connected to each other by bus 84.

In addition, image-signal processor 80 comprises the communication unit 89 that is connected to communication network 88 (such as the internet) by wired or wireless.Communication unit 89 is connected to bus 84 by interface 90.

In addition, image-signal processor 80 comprises user interface section.User interface section comprises the remote signal receiving circuit 91 that is used to receive the remote signal RM that sends from remote control transmitter 4 and for example display 92 by LCD (LCD) enforcement.Remote signal receiving circuit 91 and display 92 are connected to bus 84 by interface 93 and 94 respectively.

In addition, image-signal processor 80 has the lead-out terminal 96 that is used to import the input terminal 95 of SD signal and is used to export the HD signal, is connected to bus 84 by interface 97 and 98 respectively.

Not in advance storage processing program, coefficient-seed data etc. in ROM 82, but can from communication network 88 download these projects such as the internet by communication unit 89 and be stored in hard disk 85 or RAM 83.Replacedly, also can use floppy disk 86 that handling procedure, coefficient-seed data etc. are provided.

In addition, or not the SD signal can also be recorded in the hard disk 85 in advance, perhaps download by communication unit 89 such as the internet from communication network 88 from input terminal 95 inputs SD signal to be processed.In addition, as the replacement or the increase that the HD signal are outputed to lead-out terminal 96, the HD signal also can feed back to display and send to communication unit 89 such as the internet with the corresponding image that is presented in the hard disk 85 storage or by communication unit 89.

In the image-signal processor 80 as shown in accompanying drawing 27, CPU 81 carries out that conversion program RT3 is converted to HD signal (525p signal or 1050i signal) on SD signal (525i signal) on shown in the accompanying drawing 28.

Conversion program RT3 on CPU 81 begins in step SP20.Then, in step SP21, CPU 81 is based on frame or based on field input SD pixel data.When the SD pixel data was imported from the outside by input terminal 95, CPU 81 was stored in data among the RAM 83 provisionally.When the SD pixel data read from hard disk 85, CPU 81 was stored in data among the RAM 83 provisionally.

Then, in step SP22, CPU 81 determines whether to have finished the processing to all frames of SD pixel data or all field.When the result of step SP22 was sure, CPU 81 determined to have finished processing.Then, in step SP23, CPU 81 withdraws from conversion program RT3.

On the other hand, in the result of step SP22 regularly whether, in step SP24, CPU 81 reads the value (for example value of parameter h and v) of the specify image quality of user by using remote control transmitter 4 inputs from RAM 83.

Then, in step SP25, coefficient-the seed data of the image that use is read from RAM 83-mass parameter value and each classification, CPU 81 is according to producing the coefficient data Wi that equation (for example, equation (5)) produces the estimate equation (with reference to equation (4)) of each classification.

Then, in step SP26, CPU 81 obtains the prediction tapped related with every HD pixel data and the pixel data of classification tap from the SD pixel data of input.

Then, in step SP27, CPU 81 determines whether the whole zone of input SD pixel data has been finished the processing that obtains the HD pixel data.When the result of step SP27 is sure, turn back to step SP21, CPU 81 enters the processing of the SD pixel data of input next frame or field.

On the other hand, when the result of step SP27 was to negate, CPU 81 determined that these processing also do not finish.Then, in step SP28, CPU 81 produces classification coding CL from the SD pixel data of the classification tap that obtained.

Then, in step SP29, use the coefficient data related with the classification coding CL that is produced and the SD pixel data of prediction tapped, CPU 81 produces the HD pixel data according to previous given estimate equation.Then, turn back to step SP26, CPU 81 repeats above-mentioned step.

By carrying out conversion program on shown in the accompanying drawing 28, can from the SD pixel data that constitutes the SD signal, obtain to constitute the HD pixel data of HD signal.

In above-described image-signal processor 80, export by lead-out terminal by the HD signal that above-described processing obtains, feed back to display 92 on display screen, to show corresponding image, perhaps feed back to hard disk drive 85 and be recorded on the hard disk.

Can be by the processing that produces equipment 50 execution in the coefficient-seed shown in the accompanying drawing 13-data with software implementation.Though the structure of the treatment facility that is used for this purpose is not shown, be similar to situation mentioned above, can produce coefficient-seed data by execution at the CPU 81 of the equipment of the coefficient-seed-Data Generation Program shown in the accompanying drawing 24.

CPU 81 begins at coefficient-seed-Data Generation Program RT4 from step SP30.Then, in step SP31, image-quality mode (for example, defining) that CPU 81 selections are used to learn by parameter h and v.Then, in step SP32, CPU 81 determines whether all image-quality modes have been finished study.

When the result of step SP32 was to negate, its indication was not also finished study for all image-quality modes.Then, in step SP33, CPU 81 is based on frame or based on the known HD pixel data of field input.

Then, in step SP34, CPU 81 determines whether all fields of HD pixel data or all frames have been finished processing.When the result of step SP34 is sure, turn back to step SP31, CPU 81 repeats above-mentioned step.

When the result of step SP34 was to negate, in step SP35, CPU 81 produced the SD pixel data based on image-quality mode of selecting and based on the HD pixel data of importing in step SP33 in step SP31.

Then, in step SP36, CPU 81 obtains the prediction tapped related with every HD pixel data importing and the pixel data of classification tap based on the SD pixel data in step SP35.

Then, in step SP37, CPU 81 determines whether the whole zone of the SD pixel data that is produced has been finished study.When the result of step SP37 is sure, turn back to step SP33, CPU 81 enters the processing to the HD pixel data of input next frame or field, and repeats above-mentioned step.

On the other hand, when the result of step SP37 was to negate, in step SP38, CPU 81 produced classification coding CL from the SD pixel data of the classification tap that obtained.Then, in step SP39, CPU 81 produces normal equation (with reference to equation (13)).Then, turn back to step SP36, CPU 81 repeats above-mentioned step.

When the result of step SP32 was sure, CPU 81 determined to have finished study for all image-quality modes.Then, in step SP40, CPU 81 for example finds the solution normal equation to calculate the coefficient-seed data of each classification by scanning method.Then, in step SP41, CPU 81 is stored in coefficient-seed data in the memory.Then, in step SP42, CPU 81 withdraws from coefficient-seed-Data Generation Program RT4.

By carrying out at the coefficient-seed shown in the accompanying drawing 29-Data Generation Program RT4, by with produce coefficient-seed data that the identical method of equipment 50 employed methods can obtain each classification in the coefficient-seed shown in the accompanying drawing 13-data.

Though the structure of treatment facility is not shown, can produces the performed processing of equipment 70 at the coefficient-seed shown in the accompanying drawing 21-data yet by software implementation.That is, can produce coefficient-seed data by the CPU (not shown) of carrying out at the coefficient-seed shown in the accompanying drawing 30-Data Generation Program RT5.

CPU begins at coefficient-seed-Data Generation Program RT5 from step SP50.Then, in step SP51, image-quality mode (for example, defining) that the CPU selection is used to learn by parameter h and v.Then, in step SP52, CPU determine to all image-quality modes whether as calculated coefficient data.

When the result of step SP52 was to negate, its indication was not also to all images-quality mode design factor data.Then, in step SP53, CPU is based on frame or based on the known HD pixel data of field input.

Then, in step SP54, CPU determines whether all fields of HD pixel data or all frames have been finished processing.When the result of step SP54 was to negate, in step SP55, CPU produced the SD pixel data based on image-quality mode of selecting from the HD pixel data of importing among step SP53 in step SP51.

Then, in step SP56, CPU obtains the prediction tapped related with every HD pixel data importing and the pixel data of classification tap based on the SD pixel data in step SP53.

Then, in step SP57, CPU determines whether the whole zone of the SD pixel data that is produced has been finished study.When the result of step SP57 is sure, turn back to step SP53, CPU enters the processing to the HD pixel data of input next frame or field, and repeats above-mentioned step.

On the other hand, when the result of step SP57 was to negate, in step SP58, CPU produced classification coding CL from the SD pixel data of the classification tap that obtained.Then, in step SP59, CPU produces normal equation (with reference to equation (21)).Then, turn back to step SP56, CPU repeats above-mentioned step.

When the result of step SP54 was sure, in step SP60, CPU for example found the solution normal equation to calculate the coefficient-seed data of each classification by scanning method.Then, turn back to step SP51, repeat above-mentioned step.

When the result of step SP52 was sure, CPU determined all image-quality modes have been finished study.Then, in step SP61, CPU produces normal equation (with reference to equation (26)) to obtain coefficient-seed data from the coefficient data of all image-quality modes.

Then, in step SP62, CPU is to finding the solution to calculate the coefficient-seed data of each classification normal equation by for example scanning method.Then, in step SP63, CPU with storage in memory.Then, in step SP64, CPU withdraws from coefficient-seed-Data Generation Program RT5.

By carrying out at the coefficient-seed shown in the accompanying drawing 30-Data Generation Program RT5, by with produce coefficient-seed data that the identical method of equipment 70 employed methods can obtain each classification in the coefficient-seed shown in the accompanying drawing 21-data.

(2-3) according to the structure of the television receiver of second embodiment

Accompanying drawing 31 is depicted as the structure according to the television receiver 100 of second embodiment, wherein represents with identical label with the parts corresponding components in accompanying drawing 1.Television receiver 100 obtains SD signal (525i signal) from broadcast singal, and will be converted to HD signal (525p signal or 1050i signal) on the SD signal.

Be similar to television receiver 1 ground structure at the television receiver 100 shown in the accompanying drawing 31.Yet television receiver 100 is not included in the normalization circuit 27, normalization coefficient memory 38, the normalization coefficient that comprise in the image-signal processor 10 of the television receiver 1 shown in the accompanying drawing 1 and produces circuit 37 and coefficient generation circuit 36.In addition, canned data is also inequality in the information stores body 35 of image-signal processor 10.

More particularly, be similar to the information stores body 35 at the image-signal processor 10 shown in the accompanying drawing 1, information stores body 35 is stored in the operation-appointed information that will store in the register 30 and the tap-positional information that will store in register 31 to 33.In addition, the coefficient data of each combination of the classification of related parameter h of each method in information stores body 35 storage and first conversion method (on be transformed into the 525p signal) and second conversion method (on be transformed into the 1050i signal) and v and numerical value.

In addition, information stores body 35 is stored the coefficient-seed data of each classification related with every kind of method in first and second methods.Coefficient-seed data is as the coefficient data that produces the generation equation that will be stored in the generation coefficient data in the coefficient memory 34.

In the image-signal processor 101 of television receiver 100, the coefficient data of each classification related with the value of parameter h that regulates by the user and v and conversion method is for example read from information stores body 35 in the vertical blanking cycle under the control of system controller 2, and is stored in the coefficient memory 34.Coefficient data is to be used for and will to be converted to the information of HD signal (525p signal or 1050i signal) on the SD signal (525i signal).

When the coefficient data related with the value of parameter h that is regulated and v is not stored in the information stores body 35 in advance, system controller 2 reads the coefficient data related with the adjacent value of parameter h that is regulated and v from information stores body 35, and carries out interpolation to obtain the coefficient data related with the value of parameter h that is regulated and v.

Then, in case receive classification coding CL as reading-address information from classification combinational circuit 25, under the control of system controller 2, the coefficient data related with classification coding CL reads from coefficient memory 34, and passes to prediction-value counting circuit 26.

Based on prediction-tap data (SD pixel data) xi that selects circuit 20 to extract selectively by first tap and the coefficient data Wi that reads from coefficient memory 34, prediction-value counting circuit 26 calculates the data of the subject pixel of the HD signal that will produce.

Under the last situation that is transformed into HD signal (525p signal), in odd number field and even number field, 4 predictions of describing with reference to the accompanying drawings-value counting circuit 26 produces the line data L1 that is made of the pixel that is positioned on the line identical with the line of SD signal (525i signal) and by the line data L2 of the formation of the pixel on the line between the line that is located at SD signal (525i signal) as mentioned, and the quantity of the pixel on each line of online data L1 and L2 is doubled.

When on SD signal (525i signal), being converted to HD signal (1050i signal), in odd number field and even number field, as shown in Figure 5, prediction-value counting circuit 26 produces by being positioned at the line data L1 that constitutes near the pixel on the line of the line of SD signal (525i signal) and L1 ' and by being positioned at line data L2 and the L2 ' that constitutes away from the pixel on the line of the line of SD signal (525i signal), and the quantity of the pixel on each line of online data L1, L1 ', L2 and L2 ' is doubled.

Therefore, prediction-value counting circuit 26 produces the data of four pixels that constitute HD signal (525p signal or 1050i signal) simultaneously.At this moment, prediction-value counting circuit 26 calculates HD pixel data y based on the coefficient data bar Wi with different values that reads and prediction-tap data (SD pixel data) xi according to the estimate equation of expressing in equation (4) from coefficient memory 34.

When selecting first conversion method of output 525p signal, in odd number field and even number field, produce corresponding to the line data L1 on the line of the line of 525i signal be located at the line data L2 (with reference to the accompanying drawings 4) of the pixel on the line between the line of 525i signal.When selecting second conversion method of output 1050i signal, in odd number field and even number field, produce by being positioned at the line data L1 that constitutes near the pixel on the line of the line of 525i signal and L1 ' and away from the line data L2 of the pixel on the line of the line of 525i signal and L2 ' (with reference to the accompanying drawings 5).

Line data L1 that produces by prediction-value counting circuit 26 and L2 (L1 ' and L2 ') sequentially feed back to line-sequence converter circuit 28.Line-sequence converter circuit 28 is converted to line-sequence data so that horizontal cycle is reduced by half by line data L1 and the L2 (L1 ' and L2 ') that makes wire rate double to feed back to wherein.

Line-sequence converter circuit 28 is according to its operation of switching between the 525p signal is as the situation of HD signal output and the situation of 1050i signal as the output of HD signal from the operation-appointed information of register 30 feedbacks.

As indicated above, in image-signal processor, the coefficient data Wi (i=1 to n) that is used for estimate equation according to the value of parameter h that is regulated and v can calculate HD pixel data y.Therefore, can allow the picture quality that the user is free with respect to every kind of resolution in level and the vertical resolution and regulate the HD signal smoothly.

As indicated above, in the information stores body 35 of image-signal processor 101, the coefficient data of the value of prior storage parameter h related with every kind of method in first and second conversion methods and that pass through the study generation and v and every kind of combination of classification.

As indicated above, in the image-signal processor 10 of accompanying drawing 1, produce coefficient-seed data in the following way: carry out the coefficient data of study, use the coefficient data of every kind of every kind of SD signal to calculate the coefficient-seed data of every kind then with every kind of producing each the SD signal that obtains by the value that changes parameter h and v with step-by-step system.Yet, in the image-signal processor shown in the accompanying drawing 31 101, can produce the coefficient data of every kind of combination of the value of the parameter h that be stored in advance in the information stores body 35 and v and classification by above-mentioned method.

(2-4) produce the structure of equipment according to the coefficient data of second embodiment

Accompanying drawing 32 is depicted as the structure that produces equipment 110 according to the coefficient data of second embodiment, wherein represents by identical label with the parts corresponding components in accompanying drawing 13.Produce equipment 110 and be at the coefficient data shown in the accompanying drawing 32 in the coefficient-seed shown in the accompanying drawing 13-data generation equipment 50 differences, coefficient data calculator 111 and coefficient memory 112 substitution coefficient-seed-data calculator 61 and coefficient-kind of quantum memory 62 is provided, and on the structure of normal equation generator 113.Coefficient data produces equipment 110 and constructs in the same manner in others and coefficient-seed-data generation equipment 50.

When being input to coefficient data generation equipment 110 as the HD signal (525p signal or 1050i signal) that instructs signal by input terminal 51, SD-signal generating circuit 52 produces the SD signal as input signal by horizontally and vertically HD signal ten being taken out one.

Based on every the HD pixel data y that from the HD signal that input terminal 51 feedback is provided, obtains as the subject pixel data, with this HD pixel data bar y relatedly by first tap select prediction-tap data (SD pixel data) xi that circuit 53 extracts selectively and with the related classification of from classification combinational circuit 59, feeding back of this HD pixel data y CL that encodes, the normal equation (with reference to equation (21)) of the coefficient data Wi (i=1 to n) of normal equation generator 113 each classification of generation acquisition.

In case receive from the data of the normal equation of every kind of normal equation generator 113 feedback, coefficient data calculator 111 for example by scanning method to regular equation solution to calculate the coefficient data Wi with every kind of each SD signal association.Then, coefficient data calculator 111 is stored in coefficient data Wi in the coefficient memory 112 that its address space divides based on the combination of the value of parameter h and v and classification.

As indicated above, produce in the equipment 110 at coefficient data, produce a plurality of SD signals based on the HD signal sequence ground that feeds back to wherein, and can produce the coefficient data of the every kind that will in the information stores body 35 of the image-signal processor shown in the accompanying drawing 31 101, store according to first or second conversion method with the SD signal association.

At the image-signal processor 101 shown in the accompanying drawing 31 according to such case description: wherein define level and the vertical resolution that the value of the parameter h of level and vertical resolution and v is regulated image by adjusting.Replacedly, for example, can use the parameter z of the degree that defines elimination (inhibition) noise and define the parameter r of level and vertical resolution, so that the degree that can regulate the noise in level and vertical resolution and the removal of images by the value of regulating parameter r and z.In this case, the coefficient data of every kind of combination of the value of parameter r related with every kind of method in first and second conversion methods and z and classification is stored in the information stores body of image-signal processor in advance.

Be similar to the coefficient data related and produce situation about producing in the equipment 50, produce equipment 110 by the coefficient data shown in the accompanying drawing 32 and produce coefficient data in the coefficient-seed shown in the accompanying drawing 13-data with parameter h and v.In this case, parameter z as control signal from external feedback to SD-signal generating circuit 52, and when producing the SD signal, change with step-by-step system according to parameter z noise be increased to degree in the SD signal from the HD signal.By depositing noise is increased to the learning data that the degree in the SD signal obtains, can produces the coefficient data of the continuous degree that realizes the elimination noise with step-by-step system.

At the image-signal processor 101 shown in the accompanying drawing 31 according to such case description: wherein define level and the vertical resolution that the value of the parameter h of level and vertical resolution and v is regulated image by adjusting.Except parameter h and v, can use the parameter z of the degree that defines elimination (inhibition) noise, so that by regulating parameter h, v and z can regulate the degree of level and vertical resolution and the elimination noise in image.

In this case, with every kind of parameter h that conversion method is related, the coefficient data of the classification of v and z and each combination of value is stored in the information stores body 35 of image-signal processor 101 in advance.

Be similar to the coefficient data related and produce situation about producing in the equipment 50, produce equipment 110 by the coefficient data shown in the accompanying drawing 32 and produce coefficient data in the coefficient-seed shown in the accompanying drawing 13-data with parameter h and v.In this case, parameter z as control signal from external feedback to SD-signal generating circuit 52, and when producing the SD signal, change with step-by-step system according to parameter z noise be increased to degree in the SD signal from the HD signal.By depositing noise is increased to the learning data that the degree in the SD signal obtains, can produces the coefficient data of the continuous degree that realizes the elimination noise with step-by-step system.

(2-5) software processes of carrying out by image-signal processor in a second embodiment

With similar by the processing of carrying out at the image-signal processor shown in the accompanying drawing 1 10, using can be with the processing of software implementation in 101 execution of the image-signal processor shown in the accompanying drawing 31 at the image-signal processor 80 shown in the accompanying drawing 27.In this case, coefficient data is stored in ROM 82 grades in advance.

In the image-signal processor shown in the accompanying drawing 27 80,, allow CPU 81 to be converted to HD signal (525p signal or 1050i signal) on the SD signal (525i signal) by carrying out conversion program RT6 on shown in the accompanying drawing 33.

Conversion program RT6 on CPU 81 begins in step SP70.Then, in step SP71, CPU 81 is based on frame or based on field input SD pixel data.When the SD pixel data was imported from the outside by input terminal 95, CPU 81 was stored in data among the RAM 83 provisionally.In addition, when the SD pixel data read from hard disk 85, CPU 81 was stored in data among the RAM 83 provisionally.

Then, in step SP72, CPU 81 determines whether to have finished the processing to all frames of SD pixel data or all field.When the result of step SP72 was sure, CPU 81 determined to have finished processing.Then, in step SP73, CPU 81 withdraws from conversion program RT6.

On the other hand, in the result of step SP72 regularly whether, in step SP74, CPU 81 reads the user by using the picture quality designated value (for example value of parameter h and v) of remote control transmitter 4 inputs.

Then, in step SP75, based on the image that reads from RAM 83-quality designated value, CPU 81 reads the coefficient data Wi of each classification from ROM 82 grades, and coefficient data Wi is stored among the RAM 83 provisionally.

Then, in step SP76, CPU 81 obtains the prediction tapped related with every HD pixel data and the pixel data of classification tap from the SD pixel data of input.

Then, in step SP77, CPU 81 determines whether the whole zone of input SD pixel data has been finished the processing that obtains the HD pixel data.When the result of step SP77 is sure, turn back to step SP71, CPU 81 enters the processing of the SD pixel data of input next frame or field.

On the other hand, when the result of step SP77 was to negate, CPU 81 determined that these processing also do not finish.Then, in step SP78, CPU 81 produces classification coding CL from the SD pixel data of the classification tap that obtained.

Then, in step SP79, use the coefficient data related with the classification coding CL that is produced and the SD pixel data of prediction tapped, CPU 81 produces the HD pixel data according to previous given estimate equation.Then, turn back to step SP76, CPU 81 repeats above-mentioned step.

By carrying out conversion program RT6 on shown in the accompanying drawing 33, can from the SD pixel data that constitutes input SD signal, obtain to constitute the HD pixel data of HD signal.

Image-signal processor 80 feeds back to display 92 to show corresponding image on display screen by lead-out terminal output HD signal, perhaps feeds back to hard disk drive 85 and is recorded on the hard disk.

(2-6) processing by carrying out according to the coefficient data generation equipment of second embodiment

Can be similar in the coefficient-seed shown in the accompanying drawing 13-data and produce the processing that equipment 50 is carried out with software implementation by the processing that produces equipment 110 execution at the coefficient data shown in the accompanying drawing 32.

Though structure is not shown, be similar to previously described situation, can produce coefficient data by the CPU in the treatment facility of carrying out coefficient-Data Generation Program RT7.

CPU begins at coefficient-Data Generation Program RT7 from step SP80.Then, in step SP81, image-quality mode (for example, defining) that the CPU selection is used to learn by parameter h and v.Then, in step SP82, CPU determines whether all image-quality modes have been finished the processing of design factor data.

When the result of step SP82 was to negate, its indication was not also finished processing for all image-quality modes.Then, in step SP83, CPU is based on frame or based on the known HD pixel data of field input.

Then, in step SP84, CPU determines whether all fields of HD pixel data or all frames have been finished processing.When the result of step SP84 was to negate, in step SP85, CPU produced the SD pixel data based on image-quality mode of selecting from the HD pixel data of importing among step SP83 in step SP81.

Then, in step SP86, CPU obtains the prediction tapped related with every HD pixel data importing and the pixel data of classification tap based on the SD pixel data that is produced in step SP83.

Then, in step SP87, CPU determines whether the whole zone of the SD pixel data that is produced has been finished study.When the result of step SP87 is sure, turn back to step SP83, CPU enters the processing to the HD pixel data of input next frame or field, and repeats above-mentioned step.

On the other hand, when the result of step SP87 was to negate, in step SP88, CPU produced classification coding CL from the SD pixel data of the classification tap that obtained.Then, in step SP89, CPU produces normal equation (with reference to equation (21)).Then, turn back to step SP86, CPU repeats above-mentioned step.

When the result of step SP84 was sure, CPU determined to have finished the processing to all frames of HD signal or all field.Then, in step SP90, CPU for example finds the solution normal equation to calculate the coefficient data of each classification by scanning method.Then, turn back to step SP81, repeat above-mentioned step.

When the result of step SP82 was sure, CPU determined all image-quality modes have been finished the processing of design factor data.Then, in step SP91, CPU is stored in the coefficient data of each classification of all image-quality modes in the memory.Then, in step SP92, CPU withdraws from coefficient-Data Generation Program RT7.

By carrying out, by producing the coefficient data that the identical method of equipment 110 employed methods can obtain to be used for each classification of all image-quality modes with coefficient data at the coefficient shown in the accompanying drawing 34-Data Generation Program RT7.

Though linear equation is as the estimate equation that produces the HD signal, and is limited to these, the equation that can also use high-order more is as estimate equation.

Though be converted on SD signal (525i signal) under the situation of HD signal (525p signal or 1050i signal) and described present embodiment, be not limited to these, use the various processing that estimate equation can also the carries out image conversion.

In addition,, and be limited to these, the decoding that also can the switching signal form or the function of conversion though described present embodiment under by the situation that changes the parameter input value and switch continuously in the function that increases resolution or noise suppressed (noise removing).

Accompanying drawing 35 is depicted as the image-signal processor 120 that allows these functions to switch.In image-signal processor 120, allow to increase the switching of resolution, noise suppressed, mpeg decode, JPEG decoding, composite signal to the conversion of component signal etc.

Image-signal processor 120 comprises classification detector 122, coefficient-data generator 123 and data generator 124.Classification detector 122 is from the vision signal V by input terminal 121 feedbacks _InMiddle extraction classification-tap data, and from these data, detect classification CL.Coefficient-data generator 123 produces and classification CL that is detected and the related coefficient data Wi that is used for estimate equation of parameter P that imports from the outside.Data generator 124 is based on the coefficient data Wi that is produced with from vision signal V _{In '}The prediction of extracting-tap data produce vision signal V _OutAnd by lead-out terminal 125 outputting video signal V _Out

The parameter P that feeds back to coefficient-data generator 123 is used to select an above-mentioned function.For example, as shown in Figure 36, be P in the value of parameter P ₁The time, select to increase the function of resolution, and be P in the value of parameter P ₂The time, select the function of noise suppressed, be P in the value of parameter P ₃The time, (speed function a) is P in the value of parameter P to select mpeg decode ₄The time, select the function of mpeg decode (speed b), be P in the value of parameter P ₅The time, select composite signal to be converted to the function of component signal, and be P in the value of parameter P ₆The time, the function of selecting JPEG to decode.

Coefficient-data generator 123 comprises storage and parameter P (P ₁To P ₆) the memory (not shown) of coefficient data Wi of related each classification of each value.The coefficient data Wi related with the value of classification CL that detects by classification detector 122 and parameter P read from memory and exported.

Coefficient-data generator 123 for example produces the coefficient data Wi that be used for estimate equation related with the value of parameter P according to following formula (43):

Wi＝w ₀+w ₁P+w ₂P ²+…+W _nP ⁿ ……(43)

Coefficient-data generator 123 can be with the coefficient-seed data W as each classification of the coefficient data that obtains according to formula (43) ₀To W _nBe stored in the memory, and calculate and classification CL that detects by classification detector 122 and the related coefficient data Wi of value of parameter P.

As indicated above, in image-signal processor 120, use and carry out processing selectively from the corresponding function of the value of the parameter P of external feedback.By value, can carry out function corresponding to this operation according to user's operation change parameter P.Therefore, use single image-signal processor 120 can implement various functions, such as increasing the conversion of resolution, noise suppressed, mpeg decode, JPEG decoding, composite signal to component signal.

Though described the example that increases spatial resolution, interchangeable is for example, can regulate temporal resolution.In addition, can carry out the function switching separates and separates with three-dimensional Y/C such as one dimension Y/C separation, two-dimentional Y/C.

In addition, in image-signal processor 120, can change the value of parameter according to user's input.Replacedly, can be according to vision signal V _InFeature automatically select the value of parameter P.In addition, the classification in classification detector 122-tap selects circuit or the prediction in data generator 124-tap to select circuit to select tap according to the value that feeds back to parameter P wherein.

Described image-signal processor 120 though have at parameter P under the situation of centrifugal pump, parameter also can be a successive value.In this case, related with parameter P coefficient data Wi can obtain by using the coefficient of dispersion data to carry out linear interpolation.When coefficient of utilization-seed data, the value by designated parameter P can obtain coefficient-seed data.When parameter P presents successive value,, still can between speed a and b, carry out mpeg decode with arbitrary velocity even when carrying out mpeg decode with speed a and b as shown in Figure 36.

(2-7) according to the resolution adjustment of second embodiment

Though under the situation of 1 conduct of the television receiver shown in the accompanying drawing 1, described present embodiment according to the application of image processing equipment of the present invention, but be not limited to these, be applied to that to carry out in other various image processing equipments that predetermined picture handles to original image also be possible based on feeding back to wherein picture signal.

Though under above-described situation, regulate resolution, when keeping correlation, also can be applied in various types of image processing of wherein regulating a plurality of parameters independently of one another such as noise removing.

In addition, though in above-described embodiment image-signal processor 10 (mainly being system controller 2) as the setting device of the different value of a plurality of parameters of the degree of setting the image processing define corresponding adjusting image.But, be not limited to these, it also is possible being applied to various setting devices, as long as when one is regulated image and specified by peripheral operation, the degree of the image processing of the adjusting image that reference is specified can be adjusted to the value of parameter of degree of image processing that defines other adjusting image the value of specified adjusting image.

In the above-described embodiment, when using remote control transmitter (operating means) 4 one of each appointment to regulate image, image-signal processor (setting device) 10 is according to selecting counting (shown in Figure 18) by increase ± N/2 ^k(k represents to select number of times here) makes the value convergence of defining except adjusting image PX, the PY of the degree of the image processing of adjusting image PX, the PY of appointment or the adjusting image the PZ or PZ (initial value is Px=N when the k=0, Py=N/2+1, and Pz=0).Yet, be not limited to these, can select the speed that restrains etc. neatly, as long as resolution and the selection counting convergence pro rata of regulating image.

In addition, though the display 12 of television receiver 1 is as the display unit that shows corresponding to all or part of adjusting image of original image in the above-described embodiment, but be not limited to these, can also use other various display unit, show the adjusting image as long as can show corresponding degree based on the image processing of being regulated.

In addition, though the reference picture original image PS that constitutes by the part of original image and all being presented at corresponding to a plurality of adjusting image PX to PZ of the part of original image on the zone of division of display screen of display 12 as a frame, but be not limited to these, can also be adjacent to arrange a plurality of display 130A to 130D of constructing in the same manner with display 12 as display unit, distribute reference picture PS ' that all images by original image constitutes and a plurality of adjusting image PX ' to give corresponding display 130A to 130D to PZ '.

In addition, though be used as by peripheral operation by the remote control transmitter 4 that is wirelessly linked to television receiver 1 in the above-described embodiment and specify one operating means in a plurality of adjusting images, but be not limited to these, can be similar to guidance panel that guidance panel is provided etc. on remote control transmitter 4 directly providing on the television receiver 1.

In addition, in the above-described embodiment, display 12 is display icon MS and MX to MZ on two-dimensional coordinate system CDT, this icon MS and MX to MZ represent the degree by the image processing of the corresponding adjusting image of image-signal processor (setting device) 10 settings, when using remote control transmitter (operating means) 4 to specify one to regulate image, icon MS related with the adjusting image except the adjusting image of appointment and MX to MZ move (accompanying drawing 17A) according to the corresponding degree of image processing.Yet, be not limited to these, as long as the image processing degree that icon representation is regulated image accordingly also can be used the display mode except two-dimensional coordinate system, such as figure or numeral.

Replacedly, as shown in Figure 38, can provide remote control transmitter 140 as operating means.Remote control transmitter 140 has display 140P, shows that at this display 140P expression defines the icon of value of a plurality of parameters of degree of the image processing of the corresponding adjusting image of setting by image-signal processor (setting device) 10.When the operation by action bars 140a specifies one to regulate image, can move and the related icon of adjusting image except the adjusting image of appointment according to the corresponding degree of image processing.

Application has the remote control transmitter 140 of display 140P, two-dimensional coordinate system CDT and icon MS and MX to MZ are not superimposed upon on the reference picture PS, advantageously, allow the user, and do not have any problem about picture quality directly relatively with reference to original image PS and adjusting image PX to PZ.

According to the above embodiments, a kind ofly comprise the display unit that shows a plurality of adjusting images to carry out the image processing equipment that predetermined picture handles based on the original image of the picture signal of being carried, each regulates image part or all of corresponding to original image; Setting define the image processing of regulating image respective degrees a plurality of parameters value so that in a plurality of adjusting images these values setting device all inequality; With an operating means of regulating image of specifying by peripheral operation in a plurality of adjusting images.When using operating means to specify in a plurality of adjusting images one to regulate image, setting device revise with reference to the degree of the image processing of specified adjusting image the adjusting image that defines other image processing corresponding degree multiple parameter values so that the value of other adjusting image near the value of specified adjusting image.Display unit shows the adjusting image according to the corresponding degree of the image processing of revising by setting device.According to this image processing equipment, have by appointment required degree image processing the adjusting image repeatedly, watch a plurality of adjusting images that on display unit, show simultaneously, the user can finally realize the image processing of required degree simply.Therefore, image processing equipment allows to regulate very expediently the degree of image processing.

In addition, according to the embodiment of foregoing description, provide a kind of original image based on the picture signal of being carried is carried out the image processing method that predetermined picture is handled.This image processing method comprises following step: show a plurality of adjusting images, each adjusting image is part or all of corresponding to original image; Setting define the image processing of regulating image respective degrees a plurality of parameters value so that in a plurality of adjusting images these values all inequality; In specify a plurality of adjusting images by peripheral operation one when regulating image, revise with reference to the degree of the image processing of specified adjusting image the adjusting image that defines other image processing corresponding degree multiple parameter values so that the value of other adjusting image near the value of specified adjusting image; The degree that is modified accordingly according to image processing shows the adjusting image.According to this image processing equipment, have by appointment required degree image processing the adjusting image repeatedly, watch a plurality of adjusting images that on display unit, show simultaneously, the user can finally realize the image processing of required degree simply.Therefore, image processing equipment allows to regulate very expediently the degree of image processing.

Then, another embodiment of the present invention is described.

(3) according to the structure of the video display of another embodiment

With reference to the accompanying drawings 39, video display 201 according to another embodiment is sequentially carried out various image transitions based on frame to the vision signal S1 from external feedback by multi-thread classification and matching treatment process, and make up treated image as two field picture with display video image.

Video display 201 comprise reception from the video input unit 202 of the input of the vision signal S1 of external feedback, to from the vision signal S1 of video input unit 202 feedbacks based on frame carry out the signal processor of multi-thread image processing, provisionally store from the result of signal processor 203 feedbacks and suitably the combined treatment result video memory 204 and show the display of the image of the combination of reading from video memory 204 at display screen.

Video display 201 comprises and external remote control reflector 206 synergistic receiving circuits 207.Receiving circuit 207 receives the remote signal RM of output according to user's operation (for example adjusting of resolution or noise suppressed) of remote control transmitter 206, and the total determining unit 208 that provides in signal processor 203 will be provided corresponding to the operation signal S2 of remote signal RM.

As shown in Figure 40, remote control transmitter 206 comprises the master unit 206A of the parallelepiped that is generally thin rectangular shape.On its surface, provide operating unit 209 with the button that distributes various functions.In addition, on its top surface, provide the wireless communication unit 210 of confirming to meet the communication standard of supporting by video display 201.

In operating unit 209, cursor button 209A is provided at the bottom.On the part, provide carriage return button 209 that is used for fixing various settings and the cancel button 209C that is used to cancel setting about on cursor button 209A.On carriage return button 209B and cancel button 209C, a plurality of digital button 209D have been arranged with specific pattern.

As shown in Figure 41, remote control transmitter 206 comprises CPU 211, operating unit 209, fast storage 212, is used for read-only memory (ROM) 213 and the radiating circuit 214 of program, and these parts all are connected to each other by bus 215.Remote control transmitter 206 further comprises battery (not shown), for example button battery.

CPU 211 reads program corresponding to the operation of operating unit 209 by the user from the various programs of storage fast storage 212, this program is loaded in the program ROM 213, and carries out according to this program and to handle.Radiating circuit 214 will be exported from CPU 211 feedback data by wireless communication port 210 (accompanying drawing 40).

In the signal processor 203 in video display 201 (accompanying drawing 39), the video data that total determining unit 208 of the overall control of the system of being responsible for will feed back to video input unit 202 sequentially sends to feature extractor 220 and classification and matched-field processors 221 (221A, 221B, 221C, 221D ...) as two field picture.Feature extractor 220 extracts feature from sequentially feed back to two field picture wherein, and feature is sent to total determining unit 208.

Feature for example comprises that statistical value is such as average or variance, autocorrelation, dynamic range (DR), the histogram of two field picture or have boundary number greater than the gradient of a certain value in two field picture.

In the signal processor 203 of video display 201, a plurality of classification and matched-field processors 221 are carried out the predetermined picture conversion to the two field picture that order feeds back to wherein under the control of total determining unit 208, and result frame image (hereinafter being called treated image simply) sent to linked character withdrawal device 223 (223A, 223B, 223C, 223D ...).

Difference-feature extractor 222 extracts the distinction between two or more treated images that sequentially feed back from classification and matched-field processors 221, and distinction is sent to total determining unit 208.Distinction is meant the feature of the difference between the feature that is illustrated in two or more treated images, or is illustrated in the feature of correlation between the treated image etc.

In addition, the information that total determining unit 208 sends from receiving circuit 207 receptions from remote control transmitter 206 (promptly, information corresponding to user's operation), and receive by linked character withdrawal device 223 in real time from the feature of classification and matched-field processors 221 feedbacks and by difference-feature extractor 222 in real time from the distinction of classification and matched-field processors 221 feedbacks, and read in the operation-historical information of the previous feature in the past of reservation in the feature historical memory 224 and reservation in operation-historical memory 225 as required.

Total determining unit 208 detects the operation of user to remote control transmitter 206 based on the remote signal RM that obtains by receiving circuit 207.The adjusting of bulking value of adjusting that relates to picture quality in operation is during such as the adjusting of resolution or noise suppressed, and total determining unit 208 sends to classification and matched-field processors 221 with bulking value.When operation related to relevant with display mode setting of treated image, total determining unit 208 was provided with according to this control signal S3 is sent to video memory 204.

In the present embodiment, as shown in Figure 42, the volumetric spaces that allows the user to regulate can represent that wherein vertical axis is represented the adjusting (resolution axis hereinafter referred to as) of resolution by two-dimensional coordinate system FR, and horizontal axis is represented the adjusting (noise axle hereinafter referred to as) of the degree of noise suppressed.The resolution of regulating by the user and the bulking value of noise suppressed can denotation coordination (point of adjustment hereinafter referred to as) AD in two-dimensional coordinate system FR.

In the two-dimensional coordinate system FR that defines volumetric spaces as shown in Figure 42, can allow to regulate altogether the individual stride in 65,536 (=256 * 256) thus with 256 stride adjusted volume values with respect to each axis in resolution axis and the noise axle.

By operand word button 209D vertically or flatly on remote control transmitter 206, allow the user in two-dimensional coordinate system FR on required direction freely mobile point of adjustment AD, determined the bulking value of resolution and noise suppressed thus according to the position of point of adjustment AD.

More particularly, when mobile point of adjustment AD flatly, regulate the bulking value of the degree that defines noise suppressed.When mobile point of adjustment AD vertically, regulate the bulking value that defines resolution.By the digital button 209D of operating and remote controlling reflector 206, allow the user easily and freely regulate the degree of resolution and noise suppressed independently of one another, keep correlation simultaneously.

Control signal S3 (accompanying drawing 39) is meant that expression shows the information of the amplification of treated image of appointment or the ratio of dwindling or indicates to extract the information of which part of the two field picture of input.

Carrying out when sequentially feeding back to the image transitions of two field picture wherein, each classification and matched-field processors 221 are based on regulating picture quality (degree of resolution and noise suppressed) from the bulking value of total determining unit 208 feedbacks, will be by flowing to video memory 204 with regulating treated image sequence that picture quality obtains, and treated image feedback is got back to difference-feature extractor 222 and linked character withdrawal device 223.

Total determining unit 208 is stored in video memory 204 provisionally from the treated image of classifying and matched-field processors 221 sequentially feeds back, on specific sequential, need the treated image that obtains from video memory 204 selectively based on control signal S3, and based on the image that makes up with generation by the treated image of display mode (for example, the compression of image, shearing or the connection) combination of user's appointment.

For example, shown in accompanying drawing 43A, from the treated image PA to PD of four classification and matched-field processors 221A to 221D feedback, can produce the image PMX shown in accompanying drawing 43B through combination.In four treated image PA to PD, the image PA to PC that handles is by regulating the image that resolution and noise suppressed obtain according to different bulking values, and the image PD that handles compares its size with the image PA to PC of other processing and reduced (accompanying drawing 43A).The image PMX of combination by combination corresponding to the clip image on the left side half of the image PA that handles, be connected to the image acquisition (accompanying drawing 43B) that the image PA of processing obtains corresponding to the ratio of the clip image of upper right 1/4th and the bottom right 1/4th of treated image PB and PC and the image PD appointment by dwindling processing and with the result.

Then, total determining unit 208 is presented at the image of the combination that produces in the video memory 204 on the display screen of the display of for example implementing by cathode ray tube (CRT) display or LCD (LCD) 205.

Accompanying drawing 44 is depicted as the internal structure of each classification and matched-field processors 221.In classification and matched-field processors 221, the controller (not shown) based on frame store video images provisionally, and sequentially sends to map unit 231 as two field picture with video image in first frame memory 230.

Map unit 231 comprises that taxon 232, prediction-tap obtain unit 233 and prediction-value calculator 234.Map unit 231 will send to taxon 232 from the two field picture of first frame memory, 230 feedbacks and prediction-tap obtains unit 233.

Taxon 232 comprises from feeding back to classification and so the waveform separation device 232B of specified class alias that classification-tap that wherein two field picture obtains the classification tap of the predetermined quantity related with subject pixel obtains unit 232A and subject pixel is categorized as a predetermined quantity.

Prediction-tap obtain unit 233 based on the classification number from the waveform separation device 232B of taxon 232 from the two field picture of storage first frame memory 230, obtain with classification number corresponding to the classification tap of the related predetermined quantity of classification, and prediction tapped and classification number sent to prediction-value calculator 234.

Prediction-value calculator 234 from the coefficient sets of storage coefficient-group memory 235, obtain with based on the related coefficient sets of the classification of classification number, and come the pixel value of the image that forecasting institute predicts by linear prediction based on coefficient sets and prediction tapped.

Coefficient sets is made of the coefficient by the big image of generation density such as linear prediction, and it is used in classification and matching process generation corresponding to the predicted picture of the image in the zone of appointment with predicted pixel values.The process that produces the bigger image of density based on coefficient sets from input picture is called mapping.

The controller (not shown) will be by prediction-value calculator 234 prediction the pixel value of predicted picture be stored in provisionally in second frame memory 236, and output wherein is provided with the high-resolution two field picture of the pixel value of prediction.

(4) the 3rd embodiment

(4-1) adjusting of the bulking value of two display screens of use

In video display 201 as shown in Figure 39, in the process of selecting image-quality adjustment pattern, use remote control transmitter 206 to be adjusted in bulking value on resolution axis and the noise axle when required value keeps correlation simultaneously the user, preconditioning image and back are regulated on the display screen that image (consecutive image) is simultaneously displayed on display 205 in real time so that the user can directly relatively can regulate picture quality in these images.

Be applied in video image displayed on the display screen of display 205, when the user by remote control transmitter 206 operated selection image-quality adjustment pattern, total determining unit 208 began to regulate program RT8 at the bulking value shown in the accompanying drawing 45 from step SP100.In step SP101, total determining unit 208 is waited for the operation of the user's input that is adjusted in the bulking value on resolution axis and the noise axle then.

Then, in step SP102, total determining unit 208 obtains the treated image that obtained by two specific classification and matched-field processors 221A and 221B (hereinafter referred to as first and second classify and matched-field processorses) from a plurality of classification and matched-field processors 221.More particularly, the treated image (preconditioning image hereinafter referred to as) that obtains by carries out image conversion after regulating picture quality by first classification and matched-field processors 221A of total determining unit 208 and by second classification and matched-field processors 221B treated image (adjusting image hereinafter referred to as) by carries out image conversion acquisition after regulating picture quality based on the bulking value after regulating based on the bulking value before regulating.

Then, half and the combined result that image is a frame regulated in total determining unit 208 each preconditioning image of cutting and back, shows the image of combination on the display screen of display 205.

Method as the image that shows combination, shown in accompanying drawing 46A to 46D, in first display packing, regulate on the zone that image P12 (accompanying drawing 46B) is simultaneously displayed on division image P13 as the combination of a frame corresponding to the preconditioning image P11 of the specific scope of incoming frame image P10 (accompanying drawing 46A) and back.In second display packing, half (accompanying drawing 46C) of regulating image P12 after the half-sum of preconditioning image P11 is combined to form the image P14 (accompanying drawing 46D) corresponding to the combination of incoming frame image P10.

Under the situation of first display packing, can be shown simultaneously that by the image of handling the image acquisition therefore advantageously, the user is movement images easily.Under the situation of second display packing, advantageously, the user can visually discern the content of input picture in the process of the adjusting of bulking value, and can not lose any part (any image-region of promptly not exporting).

Use the preconditioning image and the back that show simultaneously and regulate image, in step SP103, total determining unit 208 determines whether the user has supressed the cancel button 209C on the operating unit 209 of remote control transmitter 206.

When the result of step SP103 was sure, it showed that the user wishes to select the bulking value of preconditioning image.Then, in step SP104, total determining unit 208 shows sequentially that on the full display screen of display 205 treated image (image is regulated in the back) that the degree of its resolution and noise suppressed regulated according to bulking value is as two field picture.Then, in step SP105, total determining unit 208 withdraws from bulking value and regulates program RT8.

On the other hand, when the result of step SP103 was to negate, in step SP106, total determining unit 208 determined whether users have supressed the carriage return button 209B of the operating unit 209 of remote control transmitter 206.

When the result of step SP106 was sure, it showed that the current bulking value that the user regulates image to the back is satisfied.Then, in step SP107, total determining unit 208 will current bulking value changes to the bulking value of the degree of the resolution of expression back adjusting image and noise suppressed.Then, in step SP108, total determining unit 208 is stored in this bulking value in operation-historical memory 225 as operation-historical information.

Then, in step SP104, total determining unit 208 shows sequentially that on the full display screen of display 205 treated image (image is regulated in the back) that the degree of its resolution and noise suppressed regulated according to bulking value is as two field picture.Then, in step SP105, total determining unit 208 withdraws from bulking value and regulates program RT8.

As mentioned before, in video display 201, when the image transitions of carrying out by classification and matching process, preconditioning image before the adjusting of the bulking value on resolution axis and noise axle begins and the back adjusting image after the adjusted volume value or in the process are simultaneously displayed on the display screen of display 205.Therefore, the user can easily compare these images when regulating picture quality.

Therefore, the user can regulate picture quality effectively by the adjusted volume value.In addition, the user can easily find the bulking value of the picture quality of wishing most corresponding to unique user.

In addition, when the user is satisfied to the treated image after regulating picture quality, only need the user to press the carriage return button 209B of the operating unit 209 of remote control transmitter 206, just adjusting is reflected on the output image.Therefore, can prevent that the undesirable or unfavorable incorrect operation-historical information of user is saved down when using previous operation-historical information to carry out signal processing.

(4-2) processing of acquired information amount

In video display 201 according to present embodiment, in first and second classification and matched-field processors 221A and 221B,, be presented in real time on the display screen of display 205 by the image of the combination of preconditioning image that on resolution axis and noise axle, has different bulking values and back adjusting image construction by classification and coupling carries out image when conversion.

According to first and second display packings, at this moment the image of the combination that shows on the display screen of display 205 is the image that is made of the field that image is regulated in the field and the back of preconditioning image.Therefore, second half of preconditioning image and back adjusting image is not presented on the display screen of display 205.

Therefore, in the signal processor 203 of the video display shown in the accompanying drawing 39 201, difference-feature extractor 222 can use the image-region that does not show preconditioning image and back adjusting image to use preconditioning image contract distinction.That is, have different bulking values though image is regulated in preconditioning image and back on resolution axis and noise axle, these images all pass through classification and coupling by the identical two field picture acquisition of conversion.Therefore, these images comprise the pixel that its picture quality is regulated according to different bulking values.

Therefore, difference-feature extractor 222 can calculate from the difference between the treated image (image is regulated in preconditioning image and back) of first and second classification and matched-field processors 221A and 221B feedback, because the both is included in two pixels on the same position.

As indicated above, in video display 201, because a plurality of classification and matched-field processors 221 (221A, 221B,) be provided in the signal processor 203, therefore can calculate distinction in a plurality of treated image that on resolution axis and noise axle, has different bulking values in real time such as the correlation of average, variance, dynamic range or difference.In this case, be meant in real time and the identical speed of speed that produces single treated image by image transitions by single classification and matched-field processors.

As present embodiment, comprise a plurality of classification and matched-field processors 221 (221A by using, 221B,) signal processor 203, with use single classification and matched-field processors and realize that the situation of two screen displays compares, with respect to real time rate, processing speed does not need to double, even and still can at random switch the bulking value of regulating picture quality in the process of the processing of a display screen.

(5) the 4th embodiment

(5-1) adjusting of the bulking value of use operation-historical information

A fourth embodiment in accordance with the invention, in the video display shown in the accompanying drawing 39 201, in selecting image-quality adjustment pattern, when using remote control transmitter 206 users to be adjusted in bulking value on resolution axis and the noise axle as required to keep correlation simultaneously, the operation-historical information in reflection user's past is so that can further increase service speed.

In the signal processor 203 of video display 201, allow at the bulking value on resolution axis and the noise axle to have 256 values in each two-dimensional coordinate space that is defining volumetric spaces.Usually, by acquiescence, this value increases a step-length when the digital button 209D of operating unit 209 presses on required direction at every turn.

In the 4th embodiment, be modified in the step-length that increases or reduce bulking value when pressing digital button 209D at every turn according to user's past operation-historical information, therefore increase on the gamut of bulking value or reduce in step-length of bulking value, the user does not need visually to check arduously treated image.

In the signal processor 203 of video display 201, total determining unit 208 storages by the previous back adjusting image of selecting of user resolution and the bulking value of the degree of noise suppressed in operation-historical memory 225.Total determining unit 208 is read operation-historical information as required, produces the bulking value and the corresponding bulking value that are illustrated in the volumetric spaces and is selected the conduct back to regulate the mapping (frequency map hereinafter referred to as) of the relation between the number of times of image by the user.

The number of times that frequency map represents to represent the point of adjustment of the resolution axis of the back adjusting image that in defining the two-dimensional coordinate system of bulking value user selects and the bulking value on the noise axle to be selected by the user.

When the formation frequency map, total determining unit 208 is divided into a plurality of frequency levels with the number of times that the user selects, and determines the affiliated frequency level of selection counting of user-selected point of adjustment.Then, total determining unit 208 is stored in the bulking value of point of adjustment, the selection counting and the correspondent frequency grade of point of adjustment in operation-historical memory 225 as operation-historical information.

Regulate among the step SP108 of program RT8 at the bulking value of the 3rd embodiment, the bulking value storage child-operation-historical memory 225 of the resolution of the back adjusting image that the expression user selects and the degree of noise suppressed is as operation-historical information.In the 4th embodiment, operation history keeps program RT9 to be performed to produce based on the frequency map except bulking value and comprises operation-historical information of selecting counting and correspondent frequency grade.

When determining that in step SP106 image is regulated in the back, total determining unit 208 begins to keep program RT9 at the operation history shown in the accompanying drawing 47 from step SP110.Then in step SP111, total determining unit 208 reads with representing the back and regulates the related operation-historical information of point of adjustment of bulking value of the adjusting of image quality in images, and n (n is a natural number) is counted in the previous selection of extraction point of adjustment from operation-historical information.

Then, in step SP112, total determining unit 208 is increased to (n+1) with the selection counting n of point of adjustment, and will operate-historical information is stored in operation-historical memory 225.

Then, in step SP113, total determining unit 208 determines that the current selection counting (n+1) of point of adjustment is less than first threshold TH1, more than or equal to first threshold TH1 and be less than or equal to the second threshold value TH2 or greater than the second threshold value TH2.

The current selection counting (n+1) of determining point of adjustment in step SP113 is during less than first threshold TH1, and in step SP114, total determining unit 208 is set to " 0 " in the frequency level.More than or equal to first threshold TH1 and when being less than or equal to second threshold value, in step SP115, total determining unit 208 is set to frequency level with " 1 " at current selection counting (n+1).Determining current selection counting (n+1) greater than the second threshold value TH2, in step SP116, total determining unit 208 is set to frequency level with " 2 ".

In having carried out step SP114 to SP116 after one, in step SP117, total determining unit 208 is stored in the operation-historical information (frequency level that comprises the current selection counting (n+1) of corresponding point of adjustment) of point of adjustment in operation-historical memory 225.Then, in step SP118, total determining unit 208 withdraws from operation history and keeps program RT9.

Then, processing proceeds to the step SP104 that regulates program RT8 at the bulking value shown in the accompanying drawing 45, and the demonstration sequentially on whole display screens of display 205 of total determining unit 208 has the treated image (image is regulated in the back) according to the degree of the resolution of selected bulking value adjusting and noise suppressed.Then, in step SP105, total determining unit 208 withdraws from bulking value and regulates program RT8.

In the 4th embodiment, as operation-historical information, regulate the bulking value of degree of the resolution of image and noise suppressed except representing the back, can also comprise based on the correspondent frequency grade of frequency map and select counting.

In video display 201, when using remote control transmitter 206 to regulate picture quality, the user can use operation-historical information to realize required bulking value on relatively short time intrinsic resolution axle and noise axle.

When the user selected image-quality adjustment pattern with video image displayed on the display screen of display 205, total determining unit 208 began to regulate program RT9 at the bulking value shown in the accompanying drawing 48 from step SP120.Then, in step SP121, total determining unit 208 is waited for the user's who is adjusted in the bulking value on resolution axis and the noise axle operation input.

Then, in step SP122, total determining unit 208 reads the related operation-historical information of point of adjustment with the bulking value of the adjusting of representing current back adjusting image quality in images from operation-historical memory 225, and the frequency level L (L is a natural number) that counts corresponding to the selection of point of adjustment of extraction.

Then, in step SP123, total determining unit 208 determines that the frequency level L corresponding to the selection counting of the point of adjustment of the bulking value of the adjusting of expression back adjusting image quality in images is " 0 ", " 1 " or " 2 ".

When determining that in step SP123 frequency level L corresponding to the selection counting of the point of adjustment of the bulking value of the adjusting of the current back adjusting image quality in images of expression is " 0 ", proceed to step SP124, total determining unit 208 is set to " 10 " in the step-length of bulking value of adjusting of picture quality.When frequency level L is " 1 ", proceed to step SP125, total determining unit 208 is set to " 5 " step-length of bulking value.When being " 2 " at frequency level, proceed to step SP126, total determining unit 208 is set to " 1 " step-length of bulking value.

That is, when the digital button 209D of the operating unit 209 of at every turn pressing remote control transmitter 206, the step-size change of the bulking value that total determining unit 208 will be on resolution axis and noise axle is the step-length corresponding to relevant frequency level.

More particularly, the frequency of selecting for the user in volumetric spaces (set of coordinates of the bulking value on resolution axis and noise axle) the digital button 209D in the relative higher zone push the single depression operation, total determining unit 208 is set the relative smaller step size of bulking value, and operate for the single depression of pushing of the digital button 209D in the relatively low zone of the frequency of user's selection, set the relatively large step-length of bulking value.

Then, in step SP127, total determining unit 208 is by increasing or reduce the bulking value of current point of adjustment, definite thus next point of adjustment with the related step-length of relevant frequency level.

Then, in step SP128, total determining unit 208 is carried out corresponding to the processing of regulating the step SP102 of program RT8 at the bulking value shown in the accompanying drawing 45.Then, in step SP129 to SP134, total determining unit 208 is carried out corresponding to the processing at the step SP103 to SP108 shown in the accompanying drawing 45.Then, withdraw from the adjusting of the bulking value shown in the accompanying drawing 48 program RT10 in total determining unit 208.

In the 4th embodiment, when the user used remote control transmitter 206 to regulate picture qualities, the step-length of bulking value was littler in the higher zone in volumetric spaces in frequency that the user selects.Therefore, when at every turn pushing digital button 209D on required direction, the bulking value on resolution axis and noise axle near the required value of user, and allows to carry out meticulous adjusting near required value in the relative time of lacking.

Though in the higher zone of the step-length of the selecting bulking value frequency that the user selects in volumetric spaces, described the 4th embodiment under the littler example case, be not limited to these, can change step-length with respect to each volume axle based on frequency.That is, can form histogram respectively, change step-length based on the correspondent frequency distribution map thus resolution axis and noise axle.

(6) the 5th embodiment

(6-1) adjusting of the bulking value by selecting the viewing area

In the 4th embodiment, use operation-historical information to realize the needed time of the required bulking value of user reducing effectively.In the fifth embodiment of the present invention, video display 201 shows the two-dimensional coordinate system that defines volumetric spaces on the display screen of display 205, and selects to make the bulking value convergence so that can realize similar effects by sequentially display being divided into two parts according to the user.

Be applied in video image displayed on the display screen of display 205, when the user by remote control transmitter 206 operated selection image-quality adjustment pattern, total determining unit 208 began to regulate program RT11 at the bulking value shown in the accompanying drawing 49 from step SP140.Then, in step SP141, total determining unit 208 is waited for the user's who is adjusted in the bulking value on resolution axis and the noise axle operation input.

Then, in step SP142, the whole regional AR that total determining unit 208 generals wherein can be adjusted in the bulking value on resolution axis and the noise axle is divided into two zones in defining the two-dimensional coordinate system FR of volumetric spaces, shown in accompanying drawing 50A, and the bulking value of the center of gravity of regional AR1 that will divide and AR2 is set at the representational point of adjustment (representative point hereinafter referred to as) in corresponding zone.At this moment, total determining unit 208 sequentially shows the treated image of the degree with the resolution of regulating according to the corresponding bulking value of two representative points and noise suppressed on two screens of the display screen of display 205.

Use two treated images that show simultaneously, handle proceeding to step SP143, total determining unit 208 determines whether the cancel button 209C of remote control transmitter 206 is pressed by the user.

When the result of step SP143 was sure, its indication user wished to turn back to the bulking value of the treated image before regulating.Then, handle to proceed to step SP144, total determining unit 208 shows sequentially that on whole display screens of display 205 the treated image of the degree with the resolution of regulating according to bulking value and noise suppressed is as picture frame.Then, in step SP145, total determining unit 208 withdraws from bulking value and regulates program RT11.

On the other hand, when the result of step SP143 is to negate, handle proceeding to step SP146, total determining unit 208 determine users whether the digital button 209D of operating and remote controlling reflector 206 to select zone corresponding to a treated image.

When the result of step SP146 is sure, handle proceeding to step SP147, total determining unit 208 determines whether users have pressed the carriage return button 209B of remote control transmitter 206.

, in the result of step SP147 regularly whether total determining unit 208 is further selected the user from two zones regional AR1 is divided into two zones, sets AR1 ₁And AR1 ₂Representative point (accompanying drawing 50B), on two screens of the display screen of display 205, sequentially show the treated image of degree with the resolution of regulating and noise suppressed according to the bulking value of two representative points.

Then, turn back to step SP143, total determining unit 208 repeats above-mentioned step up to pressing cancel button 209C or press carriage return button 209B in step SP146.That is, at two regional AR1 shown in the accompanying drawing 50B ₁And AR1 ₂In the zone (in this case for regional AR1) of an appointment be divided into two regional AR1 ₁₁And AR1 ₁₂, and set representative point (accompanying drawing 50C) for corresponding zone.In addition, the regional AR1 of appointment ₁₁Be divided into two regional AR1 ₁₁₁And AR1 ₁₁₂, and set representative point (accompanying drawing 50D) for corresponding zone.Similarly, repeatedly restrain so that realize the zoning.

Defining at present embodiment among the two-dimensional coordinate system FR of volumetric spaces, by selecting the zone from two kinds of modification, the each selection by the user is with this zone reduce by half (that is, reducing by half candidate regions).Therefore, determined the representative point of bulking value by 16 selections.

When the result of step SP147 is sure, show the value of the representative point in the zone that the user selects corresponding to the convergence of the bulking value on resolution axis and noise axle.Then, handle proceeding to step SP149, the bulking value that total determining unit 208 will change to representative point at the resolution axis and the current bulking value on the noise axle of current treated image.

Then, in step SP144, total determining unit 208 shows sequentially that on whole display screens of display 205 the treated image of the degree with the resolution of regulating according to the bulking value of revising and noise suppressed is as two field picture.Then, in step SP145, total determining unit 208 withdraws from bulking value and regulates program RT11.

As indicated above, the two-dimensional coordinate system that defines volumetric spaces is divided into two zones, adjusting result according to the bulking value on the representative point in corresponding zone shows as two treated images simultaneously, and the zone in volumetric spaces reduces towards convergence when each user selects required treated image.Therefore, the user does not need the treated image by all grades of visual inspection (65,536 grades).

(7) the 6th embodiment

(7-1) use of the adjusting of operation-historical information based on the bulking value of feature

In the sixth embodiment of the present invention, in the video display shown in the accompanying drawing 39 201, when selecting image-quality adjustment pattern, when the user used remote control transmitter 206 to be adjusted to required value at the bulking value on resolution axis and the noise axle to keep correlation simultaneously, the burden of user's operation can be based on further reducing in the specific regularity of feature that extracts from input two field picture sequentially and the relation between operation-historical information in the past.

Use therein under the situation of dynamic range (DR) as the example of feature and described the 6th embodiment.Dynamic range is used to estimate wherein can reproduce by digital value the scope of object brightness, and this digital value represents how many light quantities doubly the incident light quantity with respect to 100% can reproduce.

At first, be applied in video image displayed on the display screen of display 205, when the user by remote control transmitter 206 operated selection image-quality adjustment pattern, total determining unit 208 began to keep program RT12 at the operation history shown in the accompanying drawing 51 from step SP160.Then, in step SP161, total determining unit 208 is calculated the value of dynamic range as feature from the two field picture of input sequentially.Then, in step SP162, total determining unit 208 is waited for the input of the user's operation that is adjusted in the bulking value on resolution axis and the noise axle.

Then, in step SP163, total determining unit 208 is cut away by the preconditioning image of first and second classification and matched-field processors 221A and 221B (accompanying drawing 39) acquisition and the field that image is regulated in the back, make up this result, and the image of the combination of gained is presented on the display screen of display 205.

Then, use the preconditioning image and the back that show simultaneously and regulate image, handle proceeding among the step SP164, total determining unit 208 determines whether the user has supressed the cancel button 209C of the operating unit 209 of remote control transmitter 206.

When the result of step SP164 was sure, it showed that the user wishes to turn back to the bulking value of preconditioning image.Then, in step SP165, total determining unit 208 withdraws from operation history and keeps program RT12.

On the other hand, when the result of step SP164 is to negate, handle proceeding to step SP166, total determining unit 208 determines whether users have supressed the carriage return button 209B of the operating unit 209 of remote control transmitter 206.

When the result of step SP166 was sure, it showed that the current bulking value that the user regulates image to the back is satisfied.Then, in step SP167, the value of the dynamic range of the two field picture that total determining unit 208 will be calculated when carriage return button 209B is pressed is stored in feature-historical memory 224 (accompanying drawing 39), from operation-historical memory 225 (accompanying drawing 39), read and represent that the back regulates the related operation-historical information of point of adjustment of bulking value of the adjusting of image quality in images, and from this operation-historical information, extract the selection in the past of point of adjustment and count n (n is a natural number).

When the result of step SP167 is to negate, turn back to step SP161, total determining unit 208 repeats above-mentioned step.

Then, in step SP168, total determining unit 208 is increased to (n+1) with the selection counting n in the past of fixing point of adjustment, and the operation-historical information of point of adjustment is stored in operation-historical memory 225.

Then, in step SP169, corresponding to its dynamic range less than predetermined threshold TH _DRThe bulking value on resolution axis and noise axle (the first highest frequency bulking value hereinafter referred to as) that is the point of adjustment of maximum (being that its frequency is the highest) with its current selection counting is included in the operation-historical information of point of adjustment, and total determining unit 208 will operate-historical information is stored in operation-historical memory 225.

Then, in step SP170, for its dynamic range more than or equal to predetermined threshold TH _DRAnd the bulking value on resolution axis and noise axle (the second highest frequency bulking value hereinafter referred to as) of the point of adjustment of its current selection counting maximum (being that its frequency is the highest) is included in the operation-historical information of point of adjustment, and total determining unit 208 will operate-historical information is stored in operation-historical memory 225.

Then, in step SP171, total determining unit 208 is stored in the first and second highest frequency bulking values and their corresponding selection counting in operation-historical memory 225.Then, in step SP165, total determining unit 208 withdraws from operation history and keeps program RT12.

As described above, according to the 6th embodiment, the first and second highest frequency bulking values and be illustrated in the resolution axis of fixing back adjusting image and their corresponding selection counting of the point of adjustment of the bulking value on the noise axle can be connected to the operation-historical information of point of adjustment.

In video display 201, when the user used remote control transmitter 206 to regulate picture quality, the user can realize required bulking value at relatively short time intrinsic resolution axle and noise axle based on the specific regularity of the relation between the feature that extracts from two field picture and operation-historical information in the past.

At first, be applied in video image displayed on the display screen of display 205, when the user by remote control transmitter 206 operated selection image-quality adjustment pattern, total determining unit 208 began to regulate program RT13 at the bulking value shown in the accompanying drawing 52 from step SP180.Then, in step SP181, total determining unit 208 is calculated the value of dynamic range as feature from the two field picture of input sequentially.Then, in step SP182, total determining unit 208 determines that whether the value of dynamic range is less than predetermined threshold TH _DR

Determine that in step SP182 the value of dynamic range is less than threshold value TH _DRThe time, processing proceeds to step SP183, total determining unit 208 reads the relevant operation-historical information of point of adjustment with the picture quality of the adjusting of representing current back adjusting image quality in images from operation-historical memory 225 (accompanying drawing 39), and the selection of extracting the first highest frequency bulking value and relevant point of adjustment is counted.

Then, in step SP184, whether the selection counting of the point of adjustment of the bulking value of the adjusting of adjusting image quality in images was greater than predetermined threshold TH after total determining unit 208 was determined to represent.When the result of step SP184 is sure, handle proceeding to step SP185, total determining unit 208 changes to the first highest frequency bulking value with bulking value.On the other hand, when the result of step SP184 is sure, turn back to step SP181, total determining unit 208 repeats above-mentioned step.

Determine that in step SP182 the value of dynamic range is greater than threshold value TH _DRThe time, processing proceeds to step SP186, total determining unit 208 reads the related operation-historical information of point of adjustment with the bulking value of the adjusting of representing current back adjusting image quality in images from operation-historical memory 225 (accompanying drawing 39), and the selection of extracting the second highest frequency bulking value and relevant point of adjustment is counted.

Then, in step SP187, the selection counting of the point of adjustment of the bulking value of the adjusting of adjusting image quality in images was greater than predetermined threshold TH after total determining unit 208 was determined to represent.When the result of step SP187 is sure, handle proceeding to step SP188, total determining unit 208 changes to the second highest frequency bulking value with bulking value.On the other hand, when the result of step SP187 is to negate, turn back to step SP181, total determining unit 208 repeats above-mentioned step.

In step SP189, the demonstration sequentially on whole display screens of display 205 of total determining unit 208 has according to the treated image of the degree of the resolution of fixing first or second high frequency bulking value adjusting and noise suppressed (back adjusting image) as two field picture.Then, turn back to step SP181, total determining unit 208 repeats above-mentioned step, sequentially monitors the incoming frame image simultaneously, imports the operation of withdrawing from up to the user.

As indicated above, according to the 6th embodiment, when the user uses remote control transmitter 206 to regulate picture quality, by automatic consideration regularity, for example, if the less relatively user of the dynamic range of incoming frame image often uses the first highest frequency bulking value, and if if the relatively large user of dynamic range often uses the second highest frequency bulking value, so the user can obtain to have the treated image of the picture quality of the required adjusting of user naturally in the relatively short time.

In the 6th embodiment, replacedly, can carry out automatic judgement to the arbitrary portion of input picture based on this regularity, show wherein the treated image that the picture quality of corresponding part is only regulated by user's suitable bulking value.

(8) according to operation and the advantage of the 3rd to the 6th embodiment

According to the 3rd embodiment, in video display 201, before by classification and the conversion of coupling carries out image, the user is simultaneously displayed on the display screen of display 205 at preconditioning image before the adjusting of the bulking value on beginning resolution axis and the noise axle and the back adjusting image after adjusting, so that can easily regulate picture quality by these images that directly show more simultaneously.Therefore, the user can regulate picture quality effectively by the adjusted volume value.In addition, the user can easily find the bulking value corresponding to the required picture quality of user's difference.

In addition, because only when the user is satisfied to the treated image after regulating picture quality, operation based on remote control transmitter 206, the result who regulates picture quality is reflected on the output image, therefore when execution signal processing such as operation-historical information of using the past, can prevent the undesirable or unsuitable operation-historical information of user.

In addition, in video display 201, in signal processor 203, provide a plurality of classification and matched-field processors 221 (221A, 221B ...).Therefore, about a plurality of treated image of regulating according to bulking values different on resolution axis and noise axle, average, the variance of different aspect ratios such as different values, dynamic range or correlation can be calculated in real time.Therefore, compare with the situation of using single classification and matched-field processors to implement two screen displays, it is fast that processing speed needs not be the twice of implementing speed, even therefore still can at random regulate the bulking value of the adjusting of picture quality in the processing procedure of a display screen.

According to the 4th embodiment, when the user used remote control transmitter 206 to regulate picture quality, the littler step-length of bulking value was set in the zone that wherein frequency of user's selection is higher in volumetric spaces.Therefore, when the user pushed digital button 209D at every turn on required direction, the bulking value on resolution axis and noise axle can be near the required value of user in the relative short time, and can carry out meticulous adjusting near required value.

According to the 5th embodiment, the two-dimensional coordinate system that defines volumetric spaces is divided into two zones, and the adjusting result according to bulking value on the representative point in corresponding zone shows simultaneously as two treated images.When each user selected required treated image, the zone in volumetric spaces narrowed down towards convergence.Therefore, the user visually checks that in resolution axis and noise axle adjusted bulking value all treated energy that image spent of regulating according to all bulking values is greatly alleviated simultaneously.

According to the 6th embodiment, when the user uses remote control transmitter 206 to regulate picture quality, if the dynamic range of incoming frame image is less relatively, regular by automatically considering, for example, if the less relatively user of the dynamic range of incoming frame image often uses the first highest frequency bulking value, if and the relatively large user of the dynamic range of incoming frame image often uses the second highest frequency bulking value, then the user can obtain to have the treated image of the picture quality of the required adjusting of user in the short period of time naturally.

(9) other embodiment

The the 3rd to the 6th embodiment has described under the situation of the video display apparatus shown in the accompanying drawing 39, but be not limited to these, is applied to that to carry out the various image processing equipments that the predetermined picture of image is handled also be possible based on being transported to vision signal.

In addition, though the 3rd to the 6th embodiment has above described under these circumstances: wherein a plurality of classification and matched-field processors 221 (221A, 221B,) be provided in the signal processor 203 shown in the accompanying drawing 39 as a plurality of image conversion apparatus by the carries out image conversion on every two field picture of video image of a plurality of processing lines, but be not limited to these, a plurality of image conversion apparatus that are applied to various other types of the image transitions that is used for other type also are possible.

In addition, though the 3rd to the 6th embodiment has above described under these circumstances: wherein the display in the video display shown in the accompanying drawing 39 201 205 is used as and shows by a plurality of classification and matched-field processors (image conversion apparatus) 221 based on frame and to carry out the video display devices of treated image of image transitions acquisition so that all treated images completely or partially are included on the display screen, but be not limited to these, it also is possible being applied to other various types of video display devices.

In addition, though the 3rd to the 6th embodiment has above described under these circumstances: wherein be used as by peripheral operation and specify on the display 205 (video display devices) in a plurality of treated image that shows simultaneously and set the input device of bulking value of degree of the adjusting of the specified treated image quality in images of expression by the remote control transmitter 206 that is wirelessly connected to video display 201, but be not limited to these, can be directly installed on the video display 201 corresponding to guidance panel of the panel that on remote control transmitter 206, provides etc.

In addition, though the 3rd to the 6th embodiment has above described under these circumstances: the total determining unit 208 in the signal processor shown in the accompanying drawing 39 203 wherein, a plurality of classification and matched-field processors 221 and video memory 204 are used as according to the bulking value of treated image regulates the treated image quality in images of using remote control transmitter (input device) 206 appointments and the display setting device that shows the image of gained based on frame on display (video display devices) 205, but be not limited to these, the display setting device that is applied to other type also is possible.

In addition, though the 6th embodiment has above described under these circumstances: wherein display setting device (mainly being total determining unit 208) comprises the operation-historical memory 225 (storage device) of storing frequencies, this frequency representation uses remote control transmitter (input device) 206 to set corresponding bulking value as the number of times that is illustrated in the bulking value of the degree of the adjusting of picture quality in the volumetric spaces, in this volumetric spaces, allow the adjusting of polytype picture quality, and when using remote control transmitter (input device) 206 to set required bulking value, from operation-historical memory 225 (storage device), read the frequency of corresponding bulking value, and the littler step-length of setting is used for this bulking value when frequency gets higher, and hour bigger step-length of setting is used for this bulking value and become more in frequency.Yet, be not limited to these, also can regulate the step-length that is used for bulking value by various other structures, as long as the bulking value of the degree of the adjusting of presentation video quality can be in the short period of time near the required value of user when each user carries out predetermined operation with the adjusted volume value, and can carry out meticulous adjusting near required value.

In addition, the 5th embodiment has above described under these circumstances: wherein display setting device (mainly being total determining unit 208) is divided into two zones with multidimensional coordinate system, this multidimensional coordinate system defines to regulate the relevant bulking value of adjusting with picture quality in volumetric spaces by two regulating shafts, in this volumetric spaces, allow polytype adjusting of picture quality, and by bulking value being set the representative point adjusted picture quality in corresponding zone, display 205 (video display devices) side by side shows two treated images that its picture quality has been regulated according to bulking value, and each two regulate images in one when using remote control transmitter 206 (input device) to specify, display 205 (video display devices) will be relevant with the adjusting image of appointment the zone in a zone further be divided into two zones, zone in the two-dimensional coordinate space is narrowed down, so that the bulking value convergence.Yet, be not limited to these, can also use three regulating shafts in three-dimensional system of coordinate.In addition, the quantity in the zone of the division in multidimensional coordinate system can three or more.That is, it also is possible being applied to various other structures, as long as user's energy that the adjusted volume value is spent when visually checking all treated images of regulating according to all values on resolution axis is greatly alleviated.

In addition, the 6th embodiment has above described under these circumstances: the feature extractor 220 (feature extraction device) that extracts the feature of the every two field picture that constitutes video image wherein is provided, operation-the historical memory 225 (storage device) of storing frequencies and total determining unit 208, this frequency representation uses remote control transmitter 206 (input device) to set the number of times of corresponding bulking value as the bulking value of the degree of the adjusting that is illustrated in the picture quality in the volumetric spaces, in this volumetric spaces, allow to carry out the adjusting of polytype picture quality, this total determining unit 208 is used for determining the regularity of the corresponding volume stored based on the feature of the every two field picture that extracts by feature extractor (feature extraction device) 220 with at operation-historical memory 225 (storage device), and always determining unit 208 (determining device) reads bulking value with feature association selectively based on regularity from operation-historical memory 225 (storage device).Yet, be not limited to these, as substituting of dynamic range, for example, can use statistic such as average or variance, auto-correlation, the histogram of two field picture or the boundary number that in two field picture, has a gradient that is not less than a certain value as feature.That is, it also is possible being applied to various structures, as long as the user can obtain to be adjusted to the treated image of the required picture quality of user in the short period of time.

According to above-described embodiment, be used for by a plurality of image conversion apparatus of a plurality of processing lines to every two field picture carries out image conversion of video image a kind of video processing equipment of carrying out predetermined Video processing based on the video image of the vision signal of being carried is comprised; Show that based on frame the image of a plurality of processing that obtain by image transitions by a plurality of image conversion apparatus is so that the image of all a plurality of processing is included in the video display devices on the display screen whole or in part simultaneously; Specify on the video display devices image in the image of a plurality of processing that show simultaneously by peripheral operation and set the input device of bulking value of regulating degree of the image quality in images of the specified processing of expression; With set the image quality in images of regulating the processing of using the input device appointment according to the bulking value of the image of handling and on video display devices, show the display setting device of image of the processing of gained based on frame.Therefore, allow the user easily to regulate picture quality by the image that directly shows more simultaneously.Therefore video processing equipment allows to regulate according to user's hobby the degree of image processing easily.

In addition, according to the above embodiments, a kind of the method for processing video frequency of carrying out predetermined Video processing based on the video image of the vision signal of being carried is comprised following step: be used for by of every two field picture carries out image conversion of a plurality of processing lines to video image; Show that based on frame the image of a plurality of processing that obtain by image transitions by a plurality of processing lines is so that the image of all a plurality of processing is included on the display screen whole or in part simultaneously; With a image in the image that specifies on the display screen a plurality of processing that show simultaneously by peripheral operation and when setting the bulking value of regulating degree of image quality in images of the specified processing of expression, set according to the bulking value of the image of handling and to regulate image quality in images of handling and the image that on display screen, shows the processing of gained based on frame.Therefore, allow the user easily to regulate picture quality by the image that directly shows more simultaneously.Therefore video processing equipment allows to regulate according to user's hobby the degree of image processing easily.

Image processing equipment and image processing method according to these embodiment can be applied to video equipment such as other display device and television receiver with the display screen that allows the video demonstration.

It will be appreciated by one skilled in the art that in the scope of additional claim and equivalent thereof and can make various improvement, combination, sub-portfolio and change according to designing requirement and other factor.

Claims (12)

1. one kind to carrying out the image processing equipment that predetermined picture is handled based on the original image of the picture signal of being carried, and this image processing equipment comprises:

The display unit that shows a plurality of adjusting images, each adjusting image is part or all of corresponding to original image;

Setting define the image processing of regulating image respective degrees a plurality of parameters value so that in a plurality of adjusting images these values setting device all inequality;

Specify the operating means of an adjusting image in a plurality of adjusting images by peripheral operation; With

Wherein when using operating means to specify in a plurality of adjusting images one to regulate image, setting device revise with reference to the degree of the image processing of specified adjusting image the adjusting image that defines other image processing corresponding degree a plurality of parameters value so that the value of other adjusting image near the value of specified adjusting image and

Display unit shows the adjusting image according to the corresponding degree of the image processing of revising by setting device.

2. image processing equipment according to claim 1, wherein each when using operating means to specify one to regulate image, the value of a plurality of parameters of degree of the image processing that defines the adjusting image except specified adjusting image and the number of times of appointment are restrained pro rata.

3. image processing equipment according to claim 1,

Wherein display unit shows that simultaneously expression defines the icon of value of a plurality of parameters of the corresponding degree of the image processing that is used to regulate image, this value set by setting device and

When using operating means to specify one to regulate image, setting device moves the icon of the demonstration related with the adjusting image except specified adjusting image according to the corresponding degree of image processing.

4. image processing equipment according to claim 1,

Wherein operating means comprises and is configured to show simultaneously that expression defines the display unit of icon of value of a plurality of parameters of the corresponding degree of the image processing that is used to regulate image, this value set by setting device and

When specifying one to regulate image, display unit moves the icon of the demonstration related with the adjusting image except specified adjusting image according to the corresponding degree of image processing.

5. one kind to carrying out the image processing method that predetermined picture is handled based on the original image of the picture signal of being carried, and this image processing method comprises following step:

Demonstration corresponding to part or all of a plurality of adjusting images of original image and set the respective degrees that defines the image processing of regulating image a plurality of parameters value so that in a plurality of adjusting images these values all inequality;

In specify a plurality of adjusting images by peripheral operation one when regulating image, revise with reference to the degree of the image processing of specified adjusting image the adjusting image that defines other image processing corresponding degree a plurality of parameters value so that the value of other adjusting image near the value of specified adjusting image; With

The degree that is modified accordingly according to image processing shows the adjusting image.

6. one kind to carrying out the video processing equipment of predetermined Video processing based on the video image of the vision signal of being carried, and this video processing equipment comprises:

Be used for by a plurality of image conversion apparatus of a plurality of processing lines every two field picture carries out image conversion of video image;

Show that based on frame the image of a plurality of processing that obtain by image transitions by a plurality of image conversion apparatus is so that the image of all a plurality of processing is included in the video display devices on the display screen whole or in part simultaneously;

Specify on the video display devices image in the image of a plurality of processing that show simultaneously by peripheral operation and set the input device of bulking value of regulating degree of the image quality in images of the specified processing of expression; With

Set the image quality in images of regulating the processing of using the input device appointment and on video display devices, show the display setting device of image of the processing of gained according to the bulking value of the image of handling based on frame.

7. video processing equipment according to claim 6,

Wherein this display setting device comprise be used for storage representation use input device set corresponding bulking value as the storage device of the frequency of the number of times of the bulking value of the degree of the adjusting of the picture quality that is illustrated in the volumetric spaces that the polytype that wherein allows picture quality regulates and

When using input device to set required bulking value, from storage device, read the frequency of corresponding bulking value, and,, and when becoming low more, this frequency sets bigger step-length for this bulking value for this bulking value is set littler step-length along with this frequency becomes high more.

8. video processing equipment according to claim 6,

Wherein display setting device is divided into a plurality of zones with multidimensional coordinate system, this multidimensional coordinate system is defined by a plurality of regulating shafts of regulating the bulking value relevant with the adjusting of picture quality in volumetric spaces, in this volumetric spaces, allow the polytype of picture quality to regulate, and regulate picture quality by on the representative point in corresponding zone, setting bulking value

Video display devices show simultaneously a plurality of treated image that its picture quality has been regulated according to bulking value and

Each when using input device to specify in a plurality of treated images one, video display devices will be related with specified treated image a zone further be divided into a plurality of zones, zone in the multidimensional coordinate space is narrowed down so that the bulking value convergence.

9. video processing equipment according to claim 6 further comprises:

Extract the feature extraction device of the feature of the every two field picture that constitutes video image;

The storage device of storing frequencies, this frequency representation uses input device to set corresponding bulking value as the number of times that is illustrated in the bulking value of the degree of the adjusting of picture quality in the volumetric spaces, allows the polytype of picture quality to regulate in this volumetric spaces; With

Determine definite device based on the regularity of the feature of the every two field picture that extracts by the feature extraction device and the corresponding bulking value in storage device, stored;

Determine that wherein device reads bulking value with feature association selectively based on this regularity from storage device.

10. one kind to carrying out the method for processing video frequency of predetermined Video processing based on the video image of the vision signal of being carried, and this method for processing video frequency comprises following step:

By of the every two field picture carries out image conversion of a plurality of processing lines to video image;

Show by the image of a plurality of processing lines, so that the image of all a plurality of processing is included on the display screen whole or in part simultaneously based on frame by a plurality of processing of image transitions acquisition; With

An image in the image that specifies on the display screen a plurality of processing that show simultaneously by peripheral operation and when setting the bulking value of regulating degree of image quality in images of the specified processing of expression is set according to the bulking value of the image of handling and to be regulated image quality in images of handling and the image that shows the processing of gained on display screen based on frame.

11. the image processing equipment to handling based on the original image execution predetermined picture of the picture signal of being carried, this image processing equipment comprises:

Be configured to show the display unit of a plurality of adjusting images, each adjusting image is part or all of corresponding to original image;

Be configured to allow to set the respective degrees that defines the image processing of regulating image a plurality of parameters value so that in a plurality of adjusting images these values setup unit all inequality;

Be configured to allow to specify the operating unit of an adjusting image in a plurality of adjusting images by peripheral operation; With

Wherein when using operating unit to specify in a plurality of adjusting images one to regulate image, setup unit revise with reference to the degree of the image processing of specified adjusting image the adjusting image that defines other image processing corresponding degree multiple parameter values so that the value of other adjusting image near the value of specified adjusting image and

Display unit shows the adjusting image according to the corresponding degree of the image processing of revising by setup unit.

12. one kind to carrying out the video processing equipment of predetermined Video processing based on the video image of the vision signal of being carried, this video processing equipment comprises:

Be configured to by a plurality of image converters of a plurality of processing lines every two field picture carries out image conversion of video image;

Be configured to show that based on frame the image of a plurality of processing that obtain by image transitions by a plurality of image converters is so that the image of all a plurality of processing is included in the video display unit on the display screen whole or in part simultaneously;

Be configured to allow specify in an image in the image of a plurality of processing that show simultaneously on the video display unit and set the operation input unit of bulking value of regulating degree of the image quality in images of the specified processing of expression by peripheral operation; With

Be configured to allow set the image quality in images of regulating the processing of using the appointment of operation input unit and be formed on the video display unit display setting unit of image that shows the processing of gained based on frame according to the bulking value of the image of handling.

Images