CN1179059A - Image reinforced circuit using reducing noise and histogram equilibrium and its method - Google Patents

Image reinforced circuit using reducing noise and histogram equilibrium and its method Download PDF

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CN1179059A
CN1179059A CN97113793A CN97113793A CN1179059A CN 1179059 A CN1179059 A CN 1179059A CN 97113793 A CN97113793 A CN 97113793A CN 97113793 A CN97113793 A CN 97113793A CN 1179059 A CN1179059 A CN 1179059A
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CN1115869C (en
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成在
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Samsung Electronics Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/14—Picture signal circuitry for video frequency region
    • H04N5/21—Circuitry for suppressing or minimising disturbance, e.g. moiré or halo
    • H04N5/213—Circuitry for suppressing or minimising impulsive noise
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/40—Image enhancement or restoration using histogram techniques
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/44—Receiver circuitry for the reception of television signals according to analogue transmission standards
    • H04N5/57—Control of contrast or brightness

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Abstract

The present invention provides an image reinforced circuit including a noise eliminating device for detecting noise having pulse weight existing in input image signal and finishing the detected pulse noise and outputting noise eliminating signal; a column diagram equalizer for calculating cumulative distribution function value according to distribution of grayscale of noise eliminating signal in a screen unit, and mapping the noise eliminating signal to new grayscale according to the same. The circuit, at first, removes noise contained in input signal, then operating column diagram balance to the noise eliminating signal such that contrast is enhanced. In addition, noise amplifying is prevented such that quality of image is improved.

Description

Adopt the Image Enhancement Circuit and the method thereof of making an uproar of removing with histogram equalization
The present invention relates to a kind of Image Enhancement Circuit and method of the figure of being used for image intensifying, particularly relate to the noise that is used for by eliminating input picture and carry out circuit and the method that histogram equalization strengthens picture quality removing the image of making an uproar.
Because display unit, for example TV becomes bigger, has therefore occurred the demand of high quality image more.For satisfying this demand, picture quality improvement technology begins to use in the motion image signal field of handling such as TV signal or VCR signal.Here, its basic operation is just utilized more and more widely for the histogram equalization technology that the gray scale with input picture is mapped to the gray scale of area of space.
The histogram of gray scale provides the describe, in general terms of image appearance.The appearance or the contrast of image the suitable control of gray scale have been strengthened corresponding to given image.
Strengthen the method for given picture contrast as sample distribution according to image, histogram equalization is that the whole bag of tricks that is used for the contrast enhancing is known the most, and be disclosed in already in the following file: [1] J.S.Lim, 2D signal and image processing (Two-Dimensional Signal and ImageProcessing), Prentice Hall, Englewood Cliffs, New Jersey, 1990; [2] R.C.Gonzalez and P.Wints, Digital Image Processing (Digital Image Processing), Addison-Wesley, Reading, Massachusetts, 1997.
Usually, because histogram equalization has dynamic range expanded effect,, thereby strengthened the contrast of image so it makes the gray scale planarization of the image after the processing.
Known histogram equalization characteristic may be a defective under some actual conditions.That is, because by dynamic range expanded characteristic of coming enhancing contrast ratio, when the picture signal that comprises noise (impulsive noise) during by histogram equalization, its noise component(s) also has been enhanced, thereby makes noise be exaggerated.Like this, the effect that noise amplifies reduces picture quality, particularly in the zone with constant greyscale level.
For addressing the above problem, an object of the present invention is to provide a kind of Image Enhancement Circuit, be used for eliminating the noise that received image signal comprises and this removed noise cancellation signal carry out histogram equalization.
Another object of the present invention provides a kind of image enchancing method, is used for eliminating the noise that received image signal comprises and this is removed noise signal carry out histogram equalization.
For realizing first purpose, in Image Enhancement Circuit of the present invention, remove the device of making an uproar and detect the noise that in received image signal, exists with pulse component noise, repair detected impulsive noise, and output removes noise cancellation signal.The histogram equalization device calculates the cumulative distribution function value according to the grey level distribution of removing noise cancellation signal of a screen unit, and will remove noise cancellation signal according to this cumulative distribution function value and be mapped to a new gray scale.
For realizing second purpose, according to the invention provides a kind of image enchancing method, this method comprises the steps: to detect the noise with pulse component that exists in received image signal, repair detected impulsive noise, and output removes noise cancellation signal; And calculate the cumulative distribution function value and will remove noise cancellation signal according to the grey level distribution of removing noise cancellation signal of a screen unit and be mapped to a new gray scale according to this cumulative distribution function value.
With reference to the detailed description of accompanying drawing to most preferred embodiment, it is more obvious that above-mentioned purpose of the present invention and advantage will become.In these accompanying drawings:
Fig. 1 is the block diagram according to Image Enhancement Circuit of the present invention; With
Fig. 2 is the detailed diagram of Image Enhancement Circuit shown in Figure 1.
With reference to Fig. 1, Image Enhancement Circuit according to the present invention comprises removes the device 100 of making an uproar, and is used for detecting the impulsive noise and the detected impulsive noise of finishing that comprise at received image signal; With histogram equalization device 200, be used for carrying out histogram equalization to removing noise cancellation signal.
Fig. 2 is the detailed diagram of Image Enhancement Circuit shown in Figure 1, and the operation of circuit shown in Figure 1 is described with reference to Fig. 2.
In Fig. 2, remove window generator 102 output a plurality of (being two) the window W in the device 100 of making an uproar here LAnd W MSample and an input sample Y[i] [j].Here, for example, the first and second window W LAnd W MSize be arranged to 5 * 5 and 3 * 3 respectively.
In addition, window generator 102 according to recurrence/onrecurrent formula noise removing mode control signal (S) during recursion noise removing pattern, use from what selector 116 fed back to and remove noise cancellation signal Y[i] [j] substitute input sample.
First average and deviation calculator 104 receive the first window W that is produced by window generator 102 LEach sample, and utilize equation (1) to calculate the first window W LAverage sample value A LWith utilize equation (2) to calculate the first window W LThe average D of absolute deviation of sample L A L = 1 ( 2 L 1 + 1 ) ( 2 L 2 + 1 ) Σ l = - L 1 L 1 Σ m = - L 2 L 2 Y [ i + l ] [ j + m ] - - - ( 1 ) D L - 1 ( 2 L 1 + 1 ) ( 2 L 2 + 1 ) Σ l = - L 1 L 1 Σ m = - L 2 L 2 | Y [ i + l ] [ j + m ] - A L | - - - ( 2 )
As input sample Y[i] [j] and the first window W LAverage sample value A LBetween absolute difference greater than deciding the average D that parameter K multiply by absolute deviation by giving LAnd the KD that obtains L, promptly | Y[i] [j]-A L|＞KD LThe time, first exceptional value (outlier) detector 106 is by determining to be included in input sample Y[i] pulse component in [j] exports the first exceptional value detection signal.
Second average and deviation calculator 108 receive the second window W that is produced by window generator 102 MEach sample, and utilize equation (3) to calculate the second window W MAverage sample value A MWith utilize equation (4) to calculate the second window W MThe average D of absolute deviation of sample M A M = 1 ( 2 M 1 + 1 ) ( 2 M 2 + 1 ) Σ l = - M 1 M 1 Σ m = - M 2 M 2 Y [ i + l ] [ j + m ] - - - ( 3 ) D M = 1 ( 2 M 1 + 1 ) ( 2 M 2 + 1 ) Σ l = - M 1 M 1 Σ m = - M 2 M 2 | Y [ i + l ] [ j + m ] - A M | - - - ( 4 )
As input sample Y[i] [j] and the second window W MAverage sample value A MBetween absolute difference greater than the average D that multiply by absolute deviation by predefined parameter K MAnd the KD that obtains M, promptly | Y[i] [j]-A M|＞KD MThe time, the second exceptional value detector 110 is by determining to be included in input sample Y[i] pulse component in [j] exports the second exceptional value detection signal.
When all producing by the first and second exceptional value detectors 106 and the 110 first and second exceptional value detection signals that produce, select control-signals generator 112 to select the output of finishing mean filter 114, in addition, it also produces one and selects control signal, is used for the input sample Y[i by window generator 102 outputs] [j] carry out bypass.
Meanwhile, finishing mean filter 114 utilizes the second window W that equation (5) finishing is produced by window generator 102 MSample.Though will repair window (T in embodiments of the present invention M) as the second window W M, but the size of repairing window is variable. Y tr [ i ] [ j ] = 1 | T M | Σ l = - M 1 M 1 Σ m = - M 2 M 2 W l m T [ i + l ] [ j + m ] - - - ( 5 ) Wherein
Figure A9711379300091
Here, as T[i+I] when [j+m] is 0, mean W 1 mBe the second window W MExceptional value.Equally, | T M | = Σ l = - M 1 M 1 Σ m = - M 2 M 2 T [ i + l ] [ j + m ] - - - ( 7 ) Represent unfinished sample number.
The grade of finishing is controlled by parameter K.For example, when K is ∞, do not have sample, and when K was 0, all samples were repaired in the finishing window all through finishing.Like this, by suitably select parameter K can obtain various noise removing features according to channel status.
According to by the selection control signal of selecting control-signals generator 112 to produce, promptly have only when in the first and second exceptional value detectors 106 and 110, having detected all exceptional values, selector 116 is just selected the output Y of finishing mean filter 114 Tr[i] [j], in addition, selector 116 is exported except that noise cancellation signal Y by the input sample [i] [j] by window generator 102 outputs is carried out bypass N[i] [j].
Meanwhile, when interlaced image signal is used to internal schema, then need horizontal filter 118, absolute value circuit (absolutizer) 120 and comparator 122.
That is to say, by to producing the first window W by window generator 102 LThe central row vector and the operation of predetermined weight vectors, horizontal filter 118 calculated level amounts (H).Absolute value circuit ABS 120 calculates the absolute value of the level amount (H) that is calculated by horizontal filter 118.Comparator 122 will be compared with predetermined constant (T) by the level amount (H) of absolute value circuit 120 output, and produces a comparison control signal during greater than constant (T) when level amount (H).According to by the selection control signal of selecting control signal generator 112 to produce and the comparison control signal that produced by comparator 122, selector 116 is selected the output Y through finishing of finishing mean filters 114 Tr[i] [j] or the input sample Y[i that exports by window generator 102] [j].Promptly, only when indicating all exceptional values level amount (H) that all detected selection control signal and indicating is calculated by horizontal filter 118 in the first and second exceptional value detectors 106 and 110 greater than the comparison control signal input of predetermined constant (H), selector 116 just removes to select the output Y through repairing Tr[i] [j].In addition, selector 116 is selected input sample Y[i] [j] and with selected input sample as except that noise cancellation signal Y N[i] [j] output.
Meanwhile, the frame histogram calculation device 202 in frame histogram equalization device 200 receives by what remove device 100 outputs of making an uproar with screen unit and removes noise cancellation signal (Y N[i] [i]=X K) calculating grey level distribution, and calculate by the represented probability density function p (X of equation (8) according to the grey level distribution that is calculated k).Screen unit can be the field, but is set to frame here. p ( X k ) n k n , for k = 0,1 , . . . , L 1 - - - ( 8 )
Here, n kBe illustrated in given image { the gray scale X among the X} kThe number of times that occurs, n is illustrated in the given image { total sample number among the X}.
Probability density function p (the X that CDF calculator 204 receives by 202 outputs of frame histogram calculation device k) and utilize equation (9) to calculate cumulative density function c (X k). c ( X k ) = Σ j = 0 k p ( X j ) - - - ( 9 )
CDF memory 206 upgrades the cumulative density function c (X that is calculated by CDF calculator 204 according to synchronizing signal with screen unit k), and be provided at cumulative density function c (X before the frame of reproducting periods storage to mapper 208 k).Here, when screen unit was one, this synchronizing signal was a field sync signal, and when this screen unit was a frame, this synchronizing signal was a frame synchronizing signal.CDF memory 206 is used as buffer.
Mapper 208 reads corresponding to by the input signal X that makes an uproar that removes that removes device 100 outputs of making an uproar from CDF memory 206 kCumulative density function c (X k), and should remove the input picture { X that makes an uproar kBe mapped to from 0 to X L-1The gray scale of scope.
For to the received image signal of mapper 208 input, also can be provided for and to remove noise cancellation signal X from what remove device 100 outputs of making an uproar corresponding to the same number of frames of the cumulative distribution function value that is calculated by CDF calculator 204 kThe frame memory that postpones a frame.
Meanwhile, for example, the configuration of histogram equalization device 200 utilizes typical histogram equalization technology to realize.Yet when histogram equalization device 200 had the configuration that can utilize the histogram enhancing contrast ratio, the present invention can use the histogram equalization technology of all kinds.Therefore, the invention is not restricted to typical histogram equalization.
The present invention can be applicable to strengthen relevant every field with image, for example, broadcaster, the Radar Signal Processing system, engineering in medicine, household electrical appliance, or the like.
As mentioned above, the present invention can come enhancing contrast ratio to this except that noise cancellation signal carries out histogram equalization, and can strengthen picture quality by preventing that noise from amplifying by at first eliminating the noise that comprises in the input signal.

Claims (19)

1. one kind is used for coming the Image Enhancement Circuit of enhancing contrast ratio by control corresponding to the gray scale of the picture signal of being shown by a predetermined gray level numerical table, and described circuit comprises:
Noise elimination apparatus is used for detecting the noise of the pulse component noise that has that received image signal exists, and repair detected impulsive noise, and output removes noise cancellation signal; With
The histogram equalization device is used for calculating the cumulative distribution function value according to the described grey level distribution of removing noise cancellation signal of a screen unit, and according to described cumulative distribution function value the described noise cancellation signal that removes is mapped to new gray scale.
2. Image Enhancement Circuit according to claim 1, wherein said noise elimination apparatus comprises:
Window generator is used to produce a plurality of windows with different size of importing sample that comprise;
The exceptional value detector is used to detect the average between the absolute deviation of the average sample value of each window and each sample, and to be used to detect described input sample be exceptional value;
Select control-signals generator, be used for selecting control signal when described exceptional value detector is detected as exceptional value when described input sample produces;
Trimmer is used to utilize the finishing window of the preliminary dimension that comprises described input sample to export signal through finishing; With
Selector is used for exporting described signal through finishing according to described selection control signal when there is pulse component in described input sample, otherwise, export described input sample.
3. Image Enhancement Circuit according to claim 2, wherein said window generator substitutes described input sample according to the recursion noise removing pattern of recurrence/onrecurrent formula noise removing pattern with the output signal of described selector.
4. Image Enhancement Circuit according to claim 2 further comprises:
Be used for operating the device of detection level amount by horizontal vector and predetermined weight vectors to the preliminary dimension that comprises described input sample; With
Comparator is used for the level amount and the predefined parameter of described detection are compared, and produces comparison control signal.
5. Image Enhancement Circuit according to claim 4, wherein when having pulse component and described detected level amount in the described input sample greater than described predefined parameter, described selector is according to described selection control signal and the described signal through finishing of described comparison control signal output, otherwise, just described input sample is carried out bypass same as before.
6. Image Enhancement Circuit according to claim 4, wherein said window generator produces first and second windows with different size that comprise described input sample.
7. Image Enhancement Circuit according to claim 6, wherein said exceptional value checkout gear comprises:
The first exceptional value detector, be used for when the absolute difference between the average sample value of described input sample and described first window during greater than the average of the absolute deviation that multiply by described first window by predefined parameter by determining that the pulse component that the input sample exists exports the first exceptional value detection signal; With
The second exceptional value detector, be used for when the absolute difference between the average sample value of described input sample and described second window during greater than the average of the absolute deviation that multiply by described second window by predefined parameter by determining that the pulse component that output sample exists exports the second exceptional value detection signal.
8. Image Enhancement Circuit according to claim 2, wherein said trimmer are the finishing mean filters.
9. Image Enhancement Circuit according to claim 2, wherein said finishing window are one that selects from a plurality of windows.
10. Image Enhancement Circuit according to claim 1, wherein said histogram equalization device comprises:
First calculator is used to receive the described noise cancellation signal that removes, and is that the unit calculates grey level distribution with the screen, and output probability density function value;
Second calculator is used for calculating the cumulative distribution function value according to described probability density function values; With
Mapper is used for according to the described cumulative distribution function value that calculates the described noise cancellation signal that removes being mapped to a gray scale.
11. Image Enhancement Circuit according to claim 10, wherein said histogram equalization device further comprises screen memory, be used for the described noise cancellation signal that removes is postponed a screen and this result is inputed to described mapper, so that input has the signal of the screen identical with the screen of the described cumulative distribution function value that is calculated by described second calculator.
12. Image Enhancement Circuit according to claim 10, wherein said histogram equalization device further comprises a buffer, be used for upgrading the described cumulative distribution function value that calculates by described second calculator, and before the screen of reproducting periods storage, the cumulative distribution function value outputed to described mapper with screen unit.
13. one kind is used for coming the image enchancing method of enhancing contrast ratio by control corresponding to the gray scale of the picture signal of being shown by a predetermined gray level numerical table, described method comprises the steps:
(a), detect the noise that exists in the received image signal, repair described detected impulsive noise, and output removes noise cancellation signal with pulse component; With
(b), calculate the cumulative distribution function value, and the described noise cancellation signal that removes is mapped to new gray scale according to described cumulative distribution function value according to the described grey level distribution of removing noise cancellation signal in the screen unit.
14. Image Enhancement Circuit according to claim 13, wherein said step (a) comprises following substep:
(a1), produce a plurality of windows that comprise input signal with different size;
(a2), obtain average corresponding to the absolute deviation of the average sample value of each window and each sample;
(a3), utilize described mean value to detect in described input signal, whether there is pulse component corresponding to the absolute deviation of the average sample value of the described acquisition of each window and each sample; With
(a4), when in described input signal, having described pulse component, each sample of finishing in the finishing window of the preliminary dimension that comprises described input signal, otherwise, then described input signal is carried out bypass same as before.
15. image enchancing method according to claim 13 wherein in described step (a3), when having described pulse component in the described input signal at least two windows, then determines to exist described pulse component in described input signal.
16. image enchancing method according to claim 14, wherein said finishing window are one that selects from described a plurality of windows.
17. image enchancing method according to claim 14, wherein said step (a4) comprises following substep:
(a4-1), by the horizontal vector of the preliminary dimension that comprises described input signal and the operation of predetermined weight vectors are come the detection level amount; With
(a4-2), when the level amount that in described input signal, has pulse component and described detection during greater than predefined parameter, then in the finishing window of the preliminary dimension that comprises described input signal, repair each sample, otherwise, described input signal is carried out bypass same as before.
18. image enchancing method according to claim 17, wherein said step (a4) comprises following substep:
(a4-11), when in described input signal, having pulse component, each sample of then repairing in a window of a plurality of windows also will be exported as output signal through the signal of finishing, otherwise, described input signal is carried out bypass as described output signal same as before; With
(a4-12), substitute described input signal and described output signal is fed back to described step (a1) to import next input signal with described output signal.
19. image enchancing method according to claim 13, wherein said step (b) comprises following substep:
(b1), calculate the described grey level distribution of removing noise cancellation signal with screen unit, and output probability density function value;
(b2), calculate the cumulative distribution function value according to described probability density function values; With
(b3), according to the described cumulative distribution function value that calculates the described noise cancellation signal that removes is mapped to a gray scale.
CN97113793A 1996-06-20 1997-06-20 Image reinforced circuit using reducing noise and histogram equilibrium and its method Expired - Fee Related CN1115869C (en)

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Cited By (5)

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CN1316818C (en) * 2005-04-15 2007-05-16 友达光电股份有限公司 Image contrast intensifying method
CN100388758C (en) * 2004-01-02 2008-05-14 Lg电子有限公司 Image processing device and method
CN100394768C (en) * 2005-05-19 2008-06-11 晨星半导体股份有限公司 Noise reduction method
CN100407765C (en) * 2005-09-07 2008-07-30 逐点半导体（上海）有限公司 Image contrast reinforcing means and method
CN112565915A (en) * 2020-06-04 2021-03-26 海信视像科技股份有限公司 Display apparatus and display method

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CN1329873C (en) * 2005-08-22 2007-08-01 上海广电（集团）有限公司中央研究院 Equalizing method for truncating histogram

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CN100388758C (en) * 2004-01-02 2008-05-14 Lg电子有限公司 Image processing device and method
CN1316818C (en) * 2005-04-15 2007-05-16 友达光电股份有限公司 Image contrast intensifying method
CN100394768C (en) * 2005-05-19 2008-06-11 晨星半导体股份有限公司 Noise reduction method
CN100394769C (en) * 2005-05-19 2008-06-11 晨星半导体股份有限公司 Noise reduction method
CN100407765C (en) * 2005-09-07 2008-07-30 逐点半导体（上海）有限公司 Image contrast reinforcing means and method
CN112565915A (en) * 2020-06-04 2021-03-26 海信视像科技股份有限公司 Display apparatus and display method

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