CN103517048B - Adaptive edge strengthens - Google Patents
Adaptive edge strengthens Download PDFInfo
- Publication number
- CN103517048B CN103517048B CN201210209570.2A CN201210209570A CN103517048B CN 103517048 B CN103517048 B CN 103517048B CN 201210209570 A CN201210209570 A CN 201210209570A CN 103517048 B CN103517048 B CN 103517048B
- Authority
- CN
- China
- Prior art keywords
- pixel value
- value
- adjustment
- pixel
- transient state
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Landscapes
- Image Processing (AREA)
- Picture Signal Circuits (AREA)
- Facsimile Image Signal Circuits (AREA)
Abstract
The present invention relates to adaptive edge strengthens.In at least one embodiment of the present invention, the enhanced equipment of adaptive edge for video signal includes transient improvement module.The pixel value window that transient improvement module is configured to based on the pixel initially having around the concerned pixel of input pixel value produces the first adjustment pixel value.Described equipment includes being configured to producing the self adaptation peaking module of the second adjustment pixel value based on the first adjustment pixel value and input pixel value.In at least one embodiment of described equipment, self adaptation peaking module comprises to be configured to produce the high pass filter of pixel adjustment based on the first adjustment pixel value.In at least one embodiment of described equipment, self adaptation peaking module also includes being configured to adjusting at least one adaptive gain value of applying to produce the gain path of self adaptation adjusted value to pixel.
Description
Technical field
The application is related to processing system for video, more specifically it relates to the edge of video signal strengthens.
Background technology
Usually, image processing system and processing system for video execution edge enhancing technique are to improve image or hereinafter referred to as
The video signal frame of " image "（That is, frame of video, video image）Apparent acutance.Typical edge enhancement filter（For example, wink
State improves wave filter）It is designed to improve the brightness of image or frame of video（luma）Edge transition（edge transition）.
For example, the sharpening margo in edge enhancement filter identification frame, such as the edge between main body and the background of contrast color, and
And increase the contrast being close in perimeter region.But, edge enhancement filter can overshoot (overshoot) or owe punching
（undershoot）, thus producing, vision is unnatural or noise adjusts edge.
Content of the invention
In at least one embodiment of the present invention, the enhanced equipment of adaptive edge for video signal includes transient state
Improve module.Transient improvement module is configured to the picture based on the pixel initially having around the concerned pixel of input pixel value
Element value window produces the first adjustment pixel value.Described equipment includes being configured to based on the first adjustment pixel value and input pixel value
Produce the self adaptation peaking module of the second adjustment pixel value.In at least one embodiment of described equipment, self adaptation peaking mould
Block comprises to be configured to produce the high pass filter of pixel adjustment based on the first adjustment pixel value.Described equipment at least one
In embodiment, self adaptation peaking module also includes being configured to adjusting at least one adaptive gain value of applying to produce to pixel
The gain path of self-adaptative adjustment value.
In at least one embodiment of the present invention, the enhanced method in edge for video signal is included based on concern picture
The pixel value window of the pixel around element produces the transient state adjustment pixel value of concerned pixel.Described concerned pixel initially has defeated
Enter pixel value.Methods described includes adjusting based at least one adaptive gain value, the high-pass filtering of pixel value window and transient state
Pixel value produces the output adjustment pixel value of concerned pixel.
In at least one embodiment of the present invention, the enhanced equipment of adaptive edge for video signal includes being joined
It is set to and the first tune is produced based on the chromatic value window of the pixel having around the concerned pixel of input chromatic value and input brightness value
First colourity transient state adjusting module of whole chromatic value.Described equipment includes being configured to based on the first adjustment chromatic value, input color
First control module of the output adjustment chromatic value of angle value and input brightness value generation concerned pixel.
Brief description
By referring to accompanying drawing, the present invention may be better understood, and to those skilled in the art, it is substantial amounts of
Target, feature and advantage will be apparent from.
Fig. 1 illustrates the functional block diagram of exemplary video processing system.
Fig. 2A and Fig. 2 B illustrates that the adaptive edge meeting various embodiments of the present invention strengthens the work(of video processing module
Can block diagram.
Fig. 3 illustrates to meet the functional block of the transient improvement module of Fig. 2A and Fig. 2 B of at least one embodiment of the present invention
Figure.
Fig. 4 illustrates that the luminance transient meeting Fig. 3 of at least one embodiment of the present invention improves the functional block diagram of module.
Fig. 5 A and Fig. 5 B illustrates to meet the look-up table 402 and 410 passing through Fig. 4 respectively of at least one embodiment of the present invention
The exemplary functions realized.
What Fig. 6 illustrated to meet Fig. 2A and Fig. 2 B of at least one embodiment of the present invention has ring control（ringing
control）Two-dimensional adaptive peaking module 204 functional block diagram.
Fig. 7 illustrates to meet the functional block diagram of the ring control module 804 of Fig. 6 of at least one embodiment of the present invention.
Fig. 8 illustrates to meet the chromatic component transient improvement module of Fig. 2A and Fig. 2 B of at least one embodiment of the present invention
206 functional block diagram.
Fig. 9 illustrates to meet the function of the chromatic component transient improvement module 504 of Fig. 8 of at least one embodiment of the present invention
Block diagram.
Figure 10 A and Figure 10 B illustrate to meet at least one embodiment of the present invention respectively by the soft core module of Fig. 6
946 and look-up table 910 realize exemplary functions.
Figure 10 C illustrates to meet the control road for producing weighter factor k of Fig. 9 of at least one embodiment of the present invention
Footpath.
In different drawings, it is presented with like reference characters similar or identical project.
Specific embodiment
With reference to Fig. 1, exemplary video SOC(system on a chip)（SOC）Integrated circuit（For example, video SOC 102）By memorizer
104 receive one or more video data streams from external source.Video processor 108 and 110 is fetched unpressed from memorizer 104
Video data.The some of the single frame of video data once only fetched by video processor 108 and 110.Video processor 108
With 110 may include one or more of following：Frame rate converter, display, deinterlacer（deinterlacer）, typesetting
Machine, calibrater（scaler）, edge strengthen module, color operations module, face or Object Identification Module, contrast enhancer,
Superresolution calibrater (superresolution scaler), deblocking device（deblocker）, time and/or space noise silencer,
Other suitable video processing modules or their arbitrary combination.Video processor 108 and 110 will be processing, unpressed
Video data stores memorizer 104 again for subsequent use, or the video data of process is supplied directly on piece
Buffer, it is supplied directly to another video processor or is supplied to piece external circuit（Not shown）.
Although decompressor 106 and video processor 108 and 110 are illustrated as directly coupling with Memory Controller 112,
It is in other embodiments of SOC, decompressor 106 and video processor 108 and 110 and one or more shared storages
Device bus couples.Typical memorizer 104 is double data rate Synchronous Dynamic Random Access Memory（That is, DDR SDRAM storage
Device or DDR memory）.In at least one embodiment, memorizer 104 be meet DDR SDRAM memory standard,
DDR2SDRAM memory standards, DDR3SDRAM memory standards, other DDR SDRAM standard or other suitable memorizer
The DDR memory of standard.
See figures.1.and.2, at least one embodiment of video system 100, video processor 108 and 110 is to figure
As execution edge enhancing technique strengthens module with the adaptive edge improving the apparent acutance of image（For example, self adaptation strengthens mould
Block 200）.The specific pixel of image is typically by brightness value（Y）With two chromatic values（For example, CBAnd CR）Represent.As mentioned here
Like that, " pixel value " refers to brightness value or chromatic component value, for example, for Y, C of the specific pixel of imageBOr CR.For extremely
A kind of few compound video code system, the brightness in brightness value representative image（That is, the black and white of image or non-colored portion）.Colourity
The colouring information of signal and luminance signal discretely transmitted image.Usually, carrier chrominance signal is typically by two colour-difference composition U=
0.492×（B′-Y）（That is, indigo plant-brightness）With V=0.877 ×（R′-Y）（That is, red-brightness）Represent.In composite video signal,
U and V signal modulates color sub-carrier signal.Result is referred to as carrier chrominance signal.The phase place of carrier chrominance signal of modulation and amplitude are substantially
Corresponding with the tone of color and saturation.In at least one embodiment of composite video system, do not use the indigo plant of video signal
The absolute value of normal complexion red color components（For example, B ' and R '）, and use colour-difference composition（For example, it is C respectivelyBAnd CR）.At least one
In individual embodiment, self adaptation strengthens brightness value and the chromatic value that module 200 strengthens image.But, meet technology described herein
Self adaptation strengthen module and highlight value, CBChromatic value, CRChromatic value or their arbitrary combination.
With reference to Fig. 2A and Fig. 2 B, strengthen at least one embodiment of module 200 in self adaptation, transient improvement module（Example
As luminance transient improves module 202）Brightness value for image（For example, YIN）Execution edge enhancing technique, and for image
Each brightness value produce the brightness value of adjustment（For example, z1（x,y））.But, luminance transient improves module 202 by high frequency introducing figure
In the brightness of picture.Additional enhancing module（For example, there is the two-dimensional adaptive peaking module 204 of ring control）Strengthen the bright of image
The output adjustment brightness value to produce image for the radio-frequency component of these new introducings of degree（For example, YOUT）.Additional transient state improves mould
Block（For example, colourity transient improvement module 208）For chromatic component（For example, CBAnd CR）Each of execution edge strengthen skill
Art is to produce output adjustment chromatic component value（For example, it is C respectivelyBOUTAnd CROUT）.Usually, the chromatic component of image is due to height
Decrement be therefore noise signal so that compared with the corresponding bright of image it is more difficult to image colourity become
Edge is detected in point.Compared with the edge in the brightness and colourity of image, single chromatic component（For example, CB）In edge
Can not possibly be arrived by human eye detection.Because edge enhancing technique can introduce noise spurious signal, therefore strengthen module 200 in self adaptation
In at least one embodiment, the edge enhancing technique of chromatic component transient improvement module 206 by image associated luminance value letter
Number（For example, YIN）Control.For example, when edge is detected for corresponding bright value, only pass through chromatic component transient improvement module
The chromatic component value of 206 adjustment images.Strengthen at least one embodiment of module 200 in adaptive edge, chromatic component
Edge strengthens the function of the delay form by the corresponding bright value of image（YIN′）Control.
With reference to Fig. 3, at least one embodiment that luminance transient improves module 202, pixel value window（For example, brightness
Value window）It is stored in buffer 302.Note, window 302 is asymmetric, line number is less than columns.7 × 9 windows only show
Example property, and with corresponding concerned pixel（That is, current pixel or input pixel）Centered on there is different size and/or right
Other windows of title property（For example, 3 × 3,4 × 4,9 × 9）Meet technology described herein.Brightness value window includes concerned pixel
The brightness value of those pixels of surrounding, wherein concerned pixel is centered on window.Pixel data can directly be taken from memorizer 104
Return, or can be stored in frame buffer or other suitable buffer of video SOC 102.
In at least one embodiment that luminance transient improves module 202, four direction filter module（For example, level
Edge enhancement filter module 304, vertical edge strengthen filter module 306, positive diagonal edge strengthens filter module 308 and
Negative diagonal edge strengthens filter module 310）Each of by related to concerned pixel brightness value window applying two
Dimension non-thread filters and to determine respective direction（For example, respectively level, vertical, positive diagonal sum bear diagonal）Transient state improved values.As
Referred to herein as, " improved values " or " enhancement value " refer to the adjusted value of the vision of image to be improved.
In at least one embodiment, each of anisotropic filter module 304,306,308 and 310 comprises based on next
Produce the pixel value of corresponding smoothing from the linear filtering of the brightness value of the window centered on concerned pixel（For example, respectively
For xsh(0:8)、xsv(0:6)、xs+45(0:6)、xs-45(0:6)）Corresponding smoothing filter（For example, smoothing filter 314,
316th, 318 and 320）.The pixel value of smoothing has the transient noise of minimizing along edge to be enhanced.In at least one enforcement
In example, smoothing filter unit is applied to those brightness values of the monochrome information do not emphasized using same orientation or concern direction respectively
Plus electric-wave filter matrix.In at least one embodiment that luminance transient improves module 202, smoothing filter 314,316,318 and
320 is 3 × 3 wave filter of three collinear value of output.In on December 16th, 2009 submission with Bradley Arthur
Wallace and James C.Lynch describes 3 × 3 pixel windows as in the U.S. Patent application No.12/639,353 of inventor
The level of mouth, vertical, positive diagonal sum bear diagonally opposed exemplary filters technology, and here adds this application as reference.This
A little teachings can be extended to have the concerned pixel on the 3rd row the 4th row of pixel window（That is, x34）Concerned pixel be
7 × 9 windows at center.
In at least one embodiment that luminance transient improves module 202, smoothing filter 314 is that output nine is smooth
7 × 9 wave filter of collinear value, and smoothing filter 316,318 and 320 is 7 × 9 filtering of seven smooth collinear value of output
Device.For example, if the window of brightness value is
Then the filtering operation on window w can be calculated as：
X=∑I, jHI, jwI, j,
Wherein, Hi,jIt is two-dimensional filtering kernel function（filter kernel）.Window due to available pixel is restricted（Example
As being limited to 7 pixel × 9 pixels）And wave filter 314 needs to provide 9 conllinear output pixel xkAnd wave filter 316,318 and
320 need to provide 7 conllinear output pixel xk, therefore filtering kernel function is limited for each k value.X is used for horizontal alignmentk
Improve the input of block, k=-4～4 as transient state.But, due to
xk=∑I, jHI, jwI, j+k,
And, if matrix H7×9For all of i, j has nonzero term, then in order to index element j+k, window w is necessary
Bigger.For example, as estimation x4When, j+k=8+4=12.Therefore, it is possible to use the different filtering kernel function for each k value（Example
As kernel function Hk）.Improve orientation for specific, along orthogonal direction filtered pixel value.In at least one embodiment, hang down in edge
The wave filter 316 of straight trend pass filtering uses different filtering kernel functions for each k value.For example, when estimating for horizontal direction
x4When using following kernel function H4：
In at least one embodiment that luminance transient improves module 202, along the trend pass filtering picture orthogonal with improving orientation
The simplification filtering kernel function of plain value contains up to three non-zeros and specifies (tap).
For wave filter 314, exemplary filtering kernel function is：
For wave filter 316, exemplary filtering kernel function is：
For wave filter 318, exemplary filtering kernel function is：
For wave filter 320, exemplary filtering kernel function is：
Although other filter coefficients can be used, [the h of wave filter 31624h34h44], wave filter 318
[h25h34h43] and wave filter 320 [h23h34h45] example property coefficient be [0.25 0.5 0.25].
In at least one embodiment of smoothing filter 314,316,318 or 320, when smoothing filter is not corresponding
When operating on the brightness value of conllinear input vector, the brightness value not smoothed is sent to and passes through subsequent accordingly by smoothing filter
Transient state improve wave filter（For example, transient state improves wave filter 324,326,328 or 330）.Improve module 202 in luminance transient
In at least one embodiment, each of anisotropic filter module 304,306,308 and 310 is configured to be based on and puts down accordingly
Sliding pixel value（xsh(0:8), xsv(0:6), xsD+(0:6), xsD-(0:6)）Nonlinear filtering for pixel window buffer 302
In concerned pixel brightness value produce corresponding specific direction transient state adjusted value（za）.For example, horizontal edge strengthens filtering
The transient state of device module 304 is improved wave filter 324 and is based on and [xsh(0)、xsh(1)、xsh(2)、xsh(3)、xsh(4)、xsh(5)、xsh
(6)、xsh(7)、xsh(8)] corresponding [z (- 4), z (- 3), z (- 2), z (- 1), z (0), z (1), z (2), z (3), z's (4)] is non-
Linear filtering, produces the transient state adjusted value z in horizontal directionah；The transient state that vertical edge strengthens filter module 306 improves filtering
Device 326 is based on and [xsv(0)、xsv(1)、xsv(2)、xsv(3)、xsv(4)、xsv(5)、xsv(6)] corresponding [z (- 3), z (- 2), z
(- 1), z (0), z (1), z (2), z (3)] nonlinear filtering, produce vertical direction on the nonlinear filtering based on pixel window
The transient state adjusted value z of rippleav；The transient state that positive diagonal edge strengthens filter module 308 is improved wave filter 328 and is based on and [xsD+(0)、
xsD+(1)、xsD+(2)、xsD+(3)、xsD+(4)、xsD+(5)、xD+(6)] corresponding [z (- 3), z (- 2), z (- 1), z (0), z (1), z
(2), z (3)] nonlinear filtering, produce just diagonally opposed（For example ,+45 degree）On the nonlinear filtering based on pixel window
Transient state adjusted value zaD+；The transient state of negative diagonal edge enhancing filter module 310 is improved wave filter 330 and is based on and [xsD-(0)、
xsD-(1)、xsD-(2)、xsD-(3)、xsD-(4)、xsD-(5)、xsD-(6)] corresponding [z (- 3), z (- 2), z (- 1), z (0), z (1),
Z (2), z (3)] nonlinear filtering, produce orthogonal negative diagonally opposed with just diagonally opposed（For example, -45 degree）On based on picture
The transient state adjusted value z of the nonlinear filtering of plain windowaD-.
Transient state improves pixel value zah、zav、zad+、zaD-Each of represent concerned pixel in level, vertical, just diagonal
With negative diagonally opposed in a corresponding direction on sharpening degree enhanced form.Summation module 334,336,338 and 340 will be corresponding
Transient state improve pixel value zah、zav、zad+、zaD-The corresponding filtered version being filtered with regard to respective direction to concerned pixel（That is,
xsh(4)、xsh(3)、xsD+And x (3)sD-(3)）Summation, to separate the transient state improved values of specific direction（xh、xv、xD+、xD-）.Bright
In at least one embodiment of degree transient improvement module 202, the transient state improved values of specific direction are by gain to produce specific direction
Transient state improved values uh、uv、u+45And u-45, in the transient state improved values of these specific directions some or all with initially with concern
The related original pixel values combination of pixel（For example, by using summation module 342）, to produce the adjustment pixel value of concerned pixel
（z1（x,y））.Then, this process is repeated for next pixel.
With reference to Fig. 4, at least one embodiment, can be that transient state improves wave filter 326, transient state improves wave filter 328
Or transient state improve wave filter 330 and may be adapted to transient state improve wave filter 324 as input z (- 4), z (- 3), z (- 2), z (-
1), the luminance transient that z (0), z (1), z (2), z (3), z (4) receive improves module（For example, luminance transient improves wave filter 400）
Including the approximate high pass filter 404 of the conllinear pixel determining in pixel window second derivative in the corresponding direction.Obtain
Signal（For example, signal c (n)）Represent the rate of change of the rate of change in respective direction for the brightness value（That is, increased or decrease）.
In at least one embodiment, luminance transient improves wave filter 400 and includes determining the conllinear pixel in pixel window
The approximate high pass filter 406 of first order derivative in the corresponding direction.The signal obtaining（For example, signal 407）Represent along accordingly
The rate of change of the conllinear brightness value in direction（That is, slope）.
In at least one embodiment, luminance transient improves wave filter 400 for example by the absolute value of acquirement gain 407 simultaneously
From gain control module（For example, the look-up table 410 in memorizer）Obtain corresponding yield value, based on route marker（scalar）
407 generation gains（For example, g1(n)）.In at least one embodiment, determine g1N () is with the case of inconspicuous enhancing noise
Increase radio-frequency component.In at least one embodiment that luminance transient improves wave filter 400, look-up table 410 is realized as k (n)
Input value and the yield value g being exported by gain control module 4101Exemplary related pass between the corresponding output valve of (n)
The function of Fig. 5 B of system.The absolute value of first order derivative approximation k (n) and gain control value g1Exemplary relation tool between (n)
There is the curve of relative bell-shaped so that gain control value g1N () is relatively small when k (n) is relatively small or relatively large, and
And in the case that k (n) falls between both extreme values, gain control value g1N () is relatively large.This relation is intended to do not having picture
The further sharpening of element is by marquis when being favourable（That is, in the case of there is ring or noise）, by gain control value g1(n)
To reduce the importance of transient state improved values.
In at least one embodiment, luminance transient improves wave filter 400 using z (- 4), z (- 3), z (- 2), z (- 1), z
(0), z (1), z (2), z (3), the brightness value of z (4), is that horizontal edge strengthens wave filter to improve wave filter 400 in luminance transient
The transient state of module 304 improve during wave filter 324 obtain strengthen pixel, and using z (- 3), z (- 2), z (- 1), z (0), z (1),
Z (2), the brightness value of z (3), improve one of wave filter to improve, in luminance transient, other transient states that wave filter 400 is Fig. 3
When obtain strengthen pixel.Then, luminance transient improves wave filter 400 from gain control module（For example, look-up table 402）Obtain phase
The yield value answered.In at least one embodiment, determine g2N () is with higher in mean flow rate（That is, pixel is dark）Shi Zengjia believes
Number intensity, and relatively low in mean flow rate（That is, pixel is brighter）When reduce intensity.Improve wave filter 400 in luminance transient
In at least one embodiment, look-up table 402 is realized as mean flow rate and the yield value g being exported by gain control module 4022
The function of Fig. 5 A of the exemplary dependency relation between the analog value of (n).This relation is intended to reduce or eliminate overshoot or owe punching
Impact.
For example apply gain g by using multiplier 412 to c (n)1(n) and g2(n), specific in respective direction to produce
The transient state improved values in direction（For example, adjusted value a (n)）.In at least one embodiment that luminance transient improves wave filter 400,
Summation module（For example, adder 416）Brightness value by adjusted value a (n) and the smoothed version of concerned pixel（For example, z (0)）Ask
With to produce the value that highlights of the specific direction of concerned pixel（For example, z (0)+a (n)=ze(n)）.Improve in luminance transient
In at least one embodiment of wave filter 400, as the specific direction of concerned pixel edge highlight value output ze(n).
But, at least one embodiment that luminance transient improves wave filter 400, impact suppression module 422 processes z furthere(n)
To reduce the impact of overshoot/owe punching.
In at least one embodiment, impact suppression module 422 checks overshoot and owe punching, and detects in response to any
Overshoot or owe punching weaken the value that highlights of specific direction.Improve at least one embodiment of wave filter 400 in luminance transient
In, minimum generation module 418 determines the minima of the enhancing pixel value of the specific direction of output（For example, xmin）, and maximum product
Raw module 420 determines the maximum of the enhancing pixel value of specific direction（For example, xmax）.For example, minimum generation module 418 determines z
(- 3), z (- 2), z (- 1), z (0), z (1), z (2), the minima of z (3), and maximum generation module 420 determine z (- 3), z (-
2), z (- 1), z (0), z (1), z (2), the maximum of z (3).Impact suppression module 422 uses xminWeaken enhancing to produce owe punching
Pixel value（For example, DU）.For example, at least one embodiment of impact suppression module 422, DUWeighted value based on minima
Smooth pixel value with concerned pixel：
DU=(ccmaxmin×xmin)+(cccurrent×z(0)),
Wherein, ccmaxminIt is the pruning coefficient of minima and maximum, and cccurrentIt is the initial pixel of concerned pixel
The pruning coefficient of value.Prune coefficient ccmaxminAnd cccurrentCan be determined by simulation.In at least one embodiment, ccmaxmin=
0.75 and cccurrent=0.25.Similarly, at least one embodiment, maximum generation module 420 produce as with spy
Determine the maximum x of the conllinear maximum of pixel value of concerned pixel on directionmax（For example, xmax=max { z (- 3), z (- 2), z
(- 1), z (0), z (1), z (2), z (3) }）.Impact suppression module 422 uses xmaxWeaken enhancing pixel value to produce overshoot（Example
As DO）.For example, at least one embodiment of impact suppression module 422, DOWeighted value based on maximum and concerned pixel
Smooth brightness value：
DO=(ccmaxmin×xmax)+(cccurrent×z(0)).
In at least one embodiment of impact suppression module 422, if the pixel value improving weakens enhancing less than owe punching
Pixel value（That is, ze(n)<DU）, then impact suppression module 422 provides DUEnhancing pixel value z as the specific direction of outputTI
(n).If overshoot weakens enhancing, pixel value weakens maximum more than overshoot（That is, DO<ze(n)）, then impact suppression module 422
D is providedOEnhancing pixel value z as the specific direction of outputTI(n).Otherwise, impact suppression module 422 provides zeN () is as defeated
The enhancing pixel value z of the specific direction going outTI(n).
Usually, luminance transient improves the impact suppression module 422 of wave filter 400 and has non-linear effect, and can be by
Radio-frequency component is incorporated in the output stream strengthening pixel value.Therefore, the self adaptation in Fig. 2A and Fig. 2 B strengthens module 200 at least
In one embodiment, for example the two-dimensional adaptive peaking module 204 by having ring control processes enhancing pixel value further（z1
（x,y））Output stream, to strengthen those radio-frequency components in the sharpening image that obtains.
With reference to Fig. 6, in there is at least one embodiment of two-dimensional adaptive peaking module 204 of ring control, pay close attention to picture
The value that highlights of element（That is, Y '）By using two-dimensional high-pass wave filter（For example, two dimensional filter 802）Being smoothed, and
Produce adjusted value with the radio-frequency component in the output of the transient improvement module 202 that highlights.In at least one embodiment, two dimension
Wave filter 802 has 7 × 9 kernel functions corresponding with filtering window meeting the above technology for two-dimensional filtering description, and
And produce the single output valve of the window of 7 × 9 pixels receiving as input.But, for using different filtering windows
Size and/or other embodiments of symmetric self adaptation enhancing module 200, two dimensional filter 802 has and this wave filter
Window size and the corresponding kernel function of symmetry.
In there is at least one embodiment of two-dimensional adaptive peaking module 204 of ring control, to two dimensional filter 802
Output apply one or more yield values（For example, g3(n)、g4(n) and g5）.In at least one embodiment, yield value（Example
As g3(n)）It is the user-defined gain control allowing to sharpening degree horizontal adjustment.At least one in video system 100 is real
Apply in example, g is determined by the user of video system 100 according to personal preference3(n).At least one embodiment in video system 100
In, g is predefined by equipment manufacturers based on image quality information3(n).In at least one embodiment of video system 100,
g3N () has the value based on customer-furnished factor and the predetermined factor being provided by equipment manufacturers.At least one
In individual embodiment, by using two dimensional filter（For example, there is the two dimensional filter 805 of 3 × 3 kernel functions）Low-pass filtering strengthens
The gain control path 820 of pixel value produces one or more yield values（For example, g4(n) and g5(n)）.Low-pass filtering is intended to prevent
Only adjustment signal too fast changes to be conducive to slower change.Gain control path 820 is from gain control module（For example,
Look-up table in memorizer 806）Obtain corresponding yield value.In at least one embodiment, determine g4N () is to increase high putting down
All brightness values（That is, bright pixel）Edge strengthen, and reduce low average brightness value（That is, dark pixel）Edge strengthen.In tool
Have at least one embodiment of two-dimensional adaptive peaking module 204 that ring controls, determine g5N () is with based on vertical edge and water
The detection at flat edge increases edge and strengthens.Two dimensional filter is passed through in the output of two dimensional filter 805（For example, HPF X 808 He
HPF Y 810）It is high-pass filtered, with detection level edge and vertical edge.In at least one embodiment, HPF X 808 He
HPF Y 810 is respectively provided with 3 × 3 kernel functions, but can be using other suitable wave filter.Summation module 811 passes through to filter
The absolute value phase Calais junction filter of ripple device output exports to produce up to 1 yield value.Soft core module 812 is in group
This combination is provided as g when closing less than 15N (), otherwise provides 1 as yield value.Adjusted value output to two dimensional filter 802
Apply yield value g3(n)、g4(n) and g5(n), and value z that highlights by the gain adjustment value obtaining and concerned pixel1(x,
Y) sue for peace, to produce the second adjustment pixel value z2(x,y).
In there is at least one embodiment of two-dimensional adaptive peaking module 204 of ring control, the second adjustment pixel value
z2(x, y) is further processed to limit the ring in image.In at least one embodiment, ring control module 804 is for concern
Pixel z1(x, y) determines max pixel value and by making by using maximum module 822 on the whole window of adjustment brightness value
Determine minimum pixel value with minimum module 824.Each of maximum module 822 and minimum module 824 execute concerned pixel
Adjustment pixel value z1The comparison of (x, y) and each original pixel values in related window, to determine minimum pixel value and maximum picture
Element value.Then, at least one embodiment, ring control module 804 adjusts these extreme values（That is, minimum and maximum pixel value）,
To respectively allow for some owe punchings and overshoot, this can improve the vision of the image obtaining.For example, each of extreme value is by gain 2-n, wherein n is programmable integer numerical value（For example, n=3）And combine with initial extreme value（For example, it is added with it or subtract each other）, to produce
The extreme value of raw adjustment（For example, the minima of the respectively maximum of adjustment or adjustment）.Second adjustment pixel value z2(x, y) and then
Compared with adjustment extreme value.If the second adjustment pixel value exceedes adjustment maximum, then as output adjustment pixel value YOUT(x,
Y) maximum of adjustment is provided.If the second adjustment pixel value is less than adjustment minima, then as output adjustment pixel value YOUT
(x, y) provides the minima of adjustment.Referring again to Fig. 1 and Fig. 2, at least one embodiment of video SOC 102, pay close attention to picture
Pixel value Y after the process obtaining of elementOUT(x, y) is buffered, and and then is again stored corresponding in memorizer 104
Position.
Referring again to Fig. 2A and Fig. 2 B, strengthen at least one embodiment of module 200 in self adaptation, colourity transient state is improved
Module 206 is based on corresponding luminance pixel values to chroma pixel values（For example, CBAnd CREach of）At execution transient state improvement
Reason.With reference to Fig. 8, at least one embodiment of colourity transient improvement module 208, for each chromatic component（CBAnd CR）Illustrate
Chromatic component transient improvement module 206.With reference to Fig. 8, at least one embodiment of chromatic component transient improvement module 206,
Each of both direction filter module（For example, horizontal edge strengthens filter module 502 and vertical edge strengthens filtering
Device module 506）By to specific pixel（That is, concerned pixel or current pixel）Apply two-dimentional, nonlinear filtering to determine phase
Answer direction（For example, horizontally or vertically）On transient state improved values.In at least one embodiment of transient improvement module 206, water
Flat edge enhancement filter module 502 and vertical edge strengthen filter module 506 and include the linear filtering based on concerned pixel
Produce the pixel value of corresponding smoothing（xshAnd xsv）Two-dimentional accordingly smoothing filter unit（For example, it is two dimension filter respectively
Ripple device unit 512 and 514）.In at least one embodiment of transient improvement module 206, two dimensional filter unit 512 and 514
Realize the two dimensional filter unit 314 with Fig. 3 and 316 identical filter functions respectively.
In at least one embodiment of chromatic component transient improvement module 206, in anisotropic filter module 502 and 504
Each be based on corresponding smooth pixel value（It is respectively xshAnd xsv）With the pixel value of the multiple surroundings from pixel window
Nonlinear filtering, the transient state producing the corresponding specific direction of concerned pixel in pixel window buffer 302 improves chromatic value
（zahAnd zav）.For example, the transient state of horizontal edge enhancing filter module 502 is improved wave filter 526 and is based on and [xsh0, xsh1,
xsh2, xsh3, xsh4, xsh5, xsh6, xsh7, xsh8] corresponding [z (- 4), z (- 3), z (- 2), z (- 1), z (0), z (1), z (2), z
(3), z (4)] nonlinear filtering, produce horizontal direction on transient state improved values zah, and vertical edge enhancing filter module
504 transient state is improved wave filter 528 and is based on and [xsv0, xsv1, xsv2, xsv3, xsv4, xsv5, xsv6] corresponding [z (- 3), z (- 2), z
(- 1), z (0), z (1), z (2), z (3)] nonlinear filtering, produce in the vertical direction, nonlinear filtering based on pixel window
Transient state improved values TI of ripplev.Transient state improves pixel value zahAnd zavEach of represent concerned pixel in the horizontal direction and vertically
The sharpening degree enhanced form on a corresponding direction in direction.Corresponding transient state is improved pixel value by summation module 534 and 536
zahAnd zavSue for peace with the smoothed version of concerned pixel, to separate the transient state improved values of specific direction（It is respectively xhAnd xv）.In color
In at least one embodiment of degree composition transient improvement module 206, the transient state adjusted value of specific direction is specific to produce by gain
Transient state improved values u in directionHAnd uV, in the transient state improved values of these specific directions some or all with initially with concern picture
The related original pixel values combination of element, to produce the enhancing pixel value of concerned pixel.Then, next pixel is repeated at this
Reason.
With reference to Fig. 9, at least one embodiment, colourity transient state improves filter module（For example, it may be transient state is improved
Wave filter 528 and may be adapted to connect as input z (- 4), z (- 3), z (- 2), z (- 1), z (0), z (1), z (2), z (3), z (4)
The chromatic component transient state that the transient state received improves wave filter 526 improves wave filter 900）High pass filter 404 including execution and Fig. 4
The two-dimensional high-pass wave filter 904 of same operation, to produce the speed representing that chromatic component value increaseds or decreases in particular directions
Signal c (n).In at least one embodiment, colourity transient state improves the high pass filter that filter module 900 includes execution and Fig. 4
Ripple device 406 same operation is to produce the rate of change representing along the conllinear chromatic component value of specific direction（That is, slope）Scalar letter
Number（For example, signal 907）Two-dimensional high-pass wave filter 906.
In at least one embodiment, chromatic component transient improvement module 206 is by using realizing the module of Figure 10 C function
908 and module 910 be based on route marker 907 produce gain（For example, g1(n)）.Module 908 and 910 is realized and above-mentioned Fig. 4 and Tu
The module 408 of 5B and 410 identical technology and operation, these technology and operation determine increasing in the case of inconspicuous enhancing noise
Plus the g of radio-frequency component1The value of (n).
In at least one embodiment, chromatic component transient state is improved wave filter 900 and is applied to c (n) by using multiplier 912
Plus gain g1N (), to produce the transient state improved values of the specific direction of respective direction（For example, improved values a (n)）.In colourity transient state
Improve at least one embodiment of filter module 900, summation module（For example, adder 916）By a (n) and initial chroma
Signal component value（For example, z (0)）Summation, to produce the enhancing chromatic component value of the specific direction of concerned pixel（For example, z (0)+a (n)
=ze(n)）.In at least one embodiment that chromatic component transient state improves wave filter 900, as the specific direction of concerned pixel
Edge strengthen chromatic component value output ze(n).But, improve at least one enforcement of wave filter 900 in chromatic component transient state
In example, impact suppression module 922 processes z furthereN (), to reduce the impact of overshoot/owe punching, this meets above with respect to impact suppression
The technology of molding block 422 description.
Generally, due to chromatic component CbAnd CrIt is highly compressed and tends to be noise signal, be therefore more difficult in CbAnd Cr
Edge is detected in signal.In addition, when with brightness flop, the change of colourity tends to becoming apparent from.Therefore, pseudo- in order to reduce noise
Signal, the edge only just realizing chromatic component when edge is detected in the corresponding brightness value of concerned pixel strengthens.In color
Degree composition transient state is improved at least one embodiment of wave filter 900, produces yield value by the control path of Figure 10 B（k）.Example
As, at least one embodiment that chromatic component transient state improves wave filter 900, the luminance pixel values of concerned pixel are filtered by high pass
Ripple is to detect edge.Then the absolute value of the brightness value of filtering is constrained to the value less than or equal to 1 by the function of Figure 10 A.As
The absolute value of the brightness value of fruit filtering is more than 1, then k is constrained to 1.The intensity at the edge detecting in brightness value is by k table
Show, and by deducting k from 1, produce weight corresponding with initial chroma.Therefore, the side of the chromatic component value of concerned pixel
The initial chroma signal component value of edge enhancement value and concerned pixel is weighted and combines, to produce output chromatic component ZTI.
Referring again to Fig. 8, for specific chromatic component, transient state improves pixel value zahAnd zavEach of represent close
Note pixel both horizontally and vertically in a corresponding direction on sharpening degree enhanced form.Summation module 534 and 536
Respectively corresponding transient state is improved pixel value zahAnd zavThe chromatic component being filtered with regard to respective direction with concerned pixel smooth
Form xshAnd xsvSummation, to separate the transient state improved values of specific direction（xhAnd xv）.In chromatic component transient improvement module 206
In at least one embodiment, the transient state improved values of specific direction are by gain to produce transient state improved values u of specific directionhAnd uv, this
One of transient state improved values of a little specific directions or two are combined with the initial original pixel values related with concerned pixel（Example
As by using summation module 542）, pixel value is strengthened with the edge producing concerned pixel（C as Fig. 2A and Fig. 2 BBOUTOr
CROUTCOUT）.Then, for this process will being repeated by edge next pixel enhanced.Referring again to Fig. 1 and Fig. 2, in video
In at least one embodiment of SOC 102, the treated pixel value C of the concerned pixel obtainingBOUT（x,y）And CROUT（x,y）Quilt
Caching simultaneously and then is stored the relevant position in memorizer 104 again.
Can be by using the software of execution on the processor being contained in video processing unit 108 or 110（Comprise solid
Part）Or structure described herein is realized by the combination of software or hardware.Can be at least one palpable computer-readable
By Software Coding described herein in medium.As mentioned above, palpable computer-readable medium at least include disk,
Tape or other magnetic, optics or electronic storage medium.
Although commonly assuming that circuit and physical arrangement when describing embodiments of the invention, set in modern quasiconductor
Meter and manufacture in it is well recognized that, can be suitable to subsequent design, simulation, test or the fabrication stage in computer can
Read description form and embody physical arrangement and circuit.Can realize in exemplary configuration as discrete as the structure of combination or part
The 26S Proteasome Structure and Function that is given of part.Various embodiments of the present invention are envisioned for including described herein and in appended right
Circuit, the system of circuit, related method and the coding thereon with this circuit, system and method limiting in requirement（Example
As VHSIC hardware description language（VHDL）, Verilog, GDSII data, electronic design interchange format（EDIF）And/or
Gerber file）Palpable computer-readable medium.In addition, computer-readable medium can store can be used for realizing this
Bright instruction and data.Instruction/data can be related to hardware, software, firmware or combinations thereof.
The description of invention set forth herein is explanatory, and not will limit and illustrate in the following claims
The scope of the present invention.For example although describing in the embodiment with regard to horizontally and vertically processing chromatic component
The present invention, it will be recognized to those skilled in the art that can be with regard to other combinations of orientation only by the process of luminance pixel values
Or the transient state at edge improves utilizing teachings herein.In addition, though using specific window size and symmetric enforcement
The present invention is described in example, it will be recognized to those skilled in the art that can be by other window sizes and symmetry Lai sharp
Teaching with these.And although video system 100 includes applying there is the two-dimensional adaptive peaking that ring controls for brightness value
Module 204, but meet the video system 100 of teaching described herein（Fig. 2 B）Other embodiments to chromatic component value CBOUT
And/or CROUTApply the two-dimensional adaptive peaking module 204 with ring control.Without departing substantially from illustrating in the following claims
Scope and spirit of the present invention in the case of, the change of embodiment disclosed herein can be proposed based on the description that illustrates here
And modification.
Claims (13)
1. the enhanced equipment of a kind of adaptive edge for video signal, including：
It is configured to the pixel value window based on the pixel initially having around the concerned pixel of input pixel value and produce first
The transient improvement module of adjustment pixel value；
Be configured to based on self-adaptative adjustment value, first adjustment pixel value and input pixel value produce second adjustment pixel value from
Adapt to peaking module, wherein, self adaptation peaking module also comprises to be configured to adjust applying at least one self adaptation increasing to pixel
Beneficial value is to produce the gain path of this self-adaptative adjustment value；With
It is configured to produce the ring control module of output adjustment pixel value, described output adjustment pixel based on the second adjustment pixel value
Value is in the range of based on minimum pixel value and max pixel value.
2. equipment as claimed in claim 1,
Wherein, self adaptation peaking module comprises to be configured to produce the high-pass filtering of pixel adjustment based on the first adjustment pixel value
Device.
3. equipment as claimed in claim 2, also includes：It is configured to produce the control of at least one adaptive gain value described
Path, described control path comprises：
It is configured to produce the two-dimensional low-pass filter of the low-pass filtered version of the first adjustment pixel value；
At least the one of the edge being configured in the low-pass filtered version amplify the first adjustment pixel value at least first direction
Individual two-dimensional high-pass wave filter,
Wherein, at least one adaptive gain value described is based at least one two-dimensional high-pass wave filter described at least one be corresponding
Output；Alternatively, described control path also comprises：
It is configured to provide the gain control module of the first adaptive gain value based on the intensity that low-pass filtering inputs pixel；
Wherein, at least one two-dimensional high-pass wave filter described comprises：
It is configured to the first two-dimensional high-pass wave filter at edge in the horizontal direction in the output of amplification two-dimensional low pass filter；
It is configured to the second two-dimensional high-pass wave filter at edge in vertical direction in the output of amplification two-dimensional low pass filter；
Wherein, the output based on the first and second two-dimensional high-pass wave filter for the second adaptive gain value.
4. equipment as claimed in claim 2 or claim 3, wherein, self adaptation peaking module also comprises to be configured to combine self adaptation increasing
Beneficial adjusted value and the first adjustment pixel value are to produce the summation module of the second adjustment pixel value.
5. the equipment as described in any one in claims 1 to 3, wherein, transient improvement module is that luminance transient improves module,
And described equipment also includes：
The window being configured to the chroma pixel values based on the input chromatic value comprising concerned pixel produces at least one adjustment color
Spend the colourity transient improvement module of pixel value, and described input pixel value is corresponding brightness value.
6. equipment as claimed in claim 5,
Wherein, luminance transient improves at least one of module and colourity transient improvement module and also comprises to impact suppression module,
Wherein, impact suppression module is configured to select maximum adjustment when transient state adjustment pixel value is more than maximum adjustment pixel value
Pixel value adjusts pixel value as first,
Wherein, impact suppression module is configured to select minimum adjustment when transient state adjustment pixel value is less than minimum adjustment pixel value
Pixel value adjusts pixel value as first, and
Wherein, impact suppression module is configured to be less than or equal to maximum adjustment pixel value in transient state adjustment pixel value and transient state is adjusted
Whole pixel value selects transient state adjustment pixel value as the first adjustment pixel value when being more than or equal to minimum adjustment pixel value.
7. the equipment as described in any one in claims 1 to 3, wherein, transient improvement module is configured to：
Combination is corresponding to multiple horizontal directions, vertical direction ,+45 degree are diagonally opposed and -45 diagonally opposed adjustment of degree and input
Pixel value, to produce the first adjustment pixel value；And/or
Combine the first approximation of conllinear pixel value of pixel conllinear in the first direction, the second approximation of conllinear pixel and base
In the gain control value of the average brightness value of pixel value, to produce adjusted value, wherein said first adjustment pixel value is based on described
Adjusted value.
8. a kind of enhanced method in the edge for video signal, including：
Pixel value window based on the pixel around concerned pixel produces the transient state adjustment pixel value of concerned pixel, described concern picture
Element initially has input pixel value；With
Concern picture is produced based at least one adaptive gain value, the high pass filter of pixel value window and transient state adjustment pixel value
The output adjustment pixel value of element,
Wherein：
Produce output adjustment pixel value to comprise to reduce by the toroidal effect being linearly passivated shade filtering introducing；
When generation output adjustment pixel value comprises outside the transient state adjustment pixel value of the form of adjustment is in the scope of pixel value, carry
The lower limit of the upper limit for output adjustment pixel value or output adjustment pixel value is as output adjustment pixel value, the model of described pixel value
Enclose and limited by upper and lower bound, the window based on pixel for the described upper and lower bound and transient state adjustment pixel value；And/or
At least one adaptive gain described is configured to limit the rate of change of output adjustment pixel value.
9. method as claimed in claim 8, also includes：
Second window of the pixel value of the pixel around low-pass filtering concerned pixel and transient state adjustment pixel value；With
Output based on low-pass filtering produces at least one adaptive gain value described；Alternatively, produce described at least one from
Adapt to yield value to comprise：
Two-dimensional high-pass filters the output of described low-pass filtering to produce the first yield value, described two-dimensional high-pass filter and amplification first party
Any edge upwards；
Two-dimensional high-pass filters the output of described low-pass filtering to produce the second yield value, described two-dimensional high-pass filter and amplification second party
Any edge upwards, described second direction is different from described first direction；And
Produce at least one adaptive gain described based on the first and second yield values.
10. method as claimed in claim 8 or 9, wherein, produces transient state adjustment pixel value and comprises：
When the first transient state adjusts pixel value and is more than maximum transient state adjustment pixel value, maximum transient state adjusted value is selected to adjust as transient state
Whole pixel value；
When the first transient state adjusts pixel value and is less than minimum adjustment pixel value, minimum transient state adjusted value is selected to adjust picture as transient state
Element value；With
When the first transient state adjusts, pixel value is less than or equal to maximum transient state adjustment pixel value and the first transient state adjustment pixel value is more than
When being equal to minimum adjustment pixel value, the first transient state adjustment pixel value is selected to adjust pixel value as transient state.
11. methods as claimed in claim 8 or 9, wherein：
Transient state adjustment pixel value is transient state adjustment brightness value, and input pixel value is luminance pixel values, and methods described is also
Produce transient state adjustment chromatic value including based on luminance pixel values；Or
Transient state adjustment pixel value is transient state adjustment chromatic value, and described input pixel value is chroma pixel values.
12. methods as claimed in claim 8 or 9, wherein, transient state adjusted value be based on regard to horizontal direction, vertical direction ,+45
Multiple adjusted values that degree is diagonally opposed or -45 degree are at least one of diagonally opposed；Alternatively, produce transient state adjustment pixel value bag
Contain：
Combination is corresponding to multiple horizontal directions, vertical direction ,+45 degree are diagonally opposed and -45 diagonally opposed adjustment of degree and input
Pixel value is to produce transient state adjustment pixel value.
13. methods as claimed in claim 8 or 9, also include：
The first approximation of the conllinear pixel value based on pixel conllinear in the first direction, the second approximation of conllinear pixel value and
Based on the gain control value of average brightness value, produce transient state adjustment pixel value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210209570.2A CN103517048B (en) | 2012-06-20 | 2012-06-20 | Adaptive edge strengthens |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210209570.2A CN103517048B (en) | 2012-06-20 | 2012-06-20 | Adaptive edge strengthens |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103517048A CN103517048A (en) | 2014-01-15 |
| CN103517048B true CN103517048B (en) | 2017-03-01 |
Family
ID=49898971
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210209570.2A Expired - Fee Related CN103517048B (en) | 2012-06-20 | 2012-06-20 | Adaptive edge strengthens |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103517048B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109523564B (en) * | 2018-10-19 | 2020-04-28 | 北京字节跳动网络技术有限公司 | Method and apparatus for processing image |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1545327A (en) * | 2003-11-10 | 2004-11-10 | System and method for reinforcing video image quality | |
| CN1656511A (en) * | 2002-05-24 | 2005-08-17 | 皇家飞利浦电子股份有限公司 | Unit for and method of calculating a sharpened edge |
| JP2006217385A (en) * | 2005-02-04 | 2006-08-17 | Sharp Corp | Television image processor |
| CN101677353A (en) * | 2008-09-18 | 2010-03-24 | 索尼株式会社 | Video signal processing apparatus, image pickup apparatus, display apparatus, and video signal processing method |
| CN102104713A (en) * | 2009-12-16 | 2011-06-22 | Vixs***公司 | Adaptive edge enhancement using directional components from non-linear filtering |
| CN102265595A (en) * | 2008-12-24 | 2011-11-30 | 株式会社理光 | Method and apparatus for image processing and on-vehicle camera apparatus |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8638342B2 (en) * | 2009-10-20 | 2014-01-28 | Apple Inc. | System and method for demosaicing image data using weighted gradients |
-
2012
- 2012-06-20 CN CN201210209570.2A patent/CN103517048B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1656511A (en) * | 2002-05-24 | 2005-08-17 | 皇家飞利浦电子股份有限公司 | Unit for and method of calculating a sharpened edge |
| CN1545327A (en) * | 2003-11-10 | 2004-11-10 | System and method for reinforcing video image quality | |
| JP2006217385A (en) * | 2005-02-04 | 2006-08-17 | Sharp Corp | Television image processor |
| CN101677353A (en) * | 2008-09-18 | 2010-03-24 | 索尼株式会社 | Video signal processing apparatus, image pickup apparatus, display apparatus, and video signal processing method |
| CN102265595A (en) * | 2008-12-24 | 2011-11-30 | 株式会社理光 | Method and apparatus for image processing and on-vehicle camera apparatus |
| CN102104713A (en) * | 2009-12-16 | 2011-06-22 | Vixs***公司 | Adaptive edge enhancement using directional components from non-linear filtering |
Non-Patent Citations (1)
| Title |
|---|
| 基于图像边缘增强组合算法的研究;李恩玉 等;《红外技术》;20090421;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103517048A (en) | 2014-01-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7894684B2 (en) | Visual processing device, visual processing method, program, display device, and integrated circuit | |
| US8761537B2 (en) | Adaptive edge enhancement | |
| US8059911B2 (en) | Depth-based image enhancement | |
| US8639050B2 (en) | Dynamic adjustment of noise filter strengths for use with dynamic range enhancement of images | |
| US7881550B2 (en) | Visual processing apparatus, visual processing method, program, recording medium, display device, and integrated circuit | |
| CN106846270B (en) | Image edge enhancement method and device | |
| US9147238B1 (en) | Adaptive histogram-based video contrast enhancement | |
| US9514525B2 (en) | Temporal filtering for image data using spatial filtering and noise history | |
| CN111292269B (en) | Image tone mapping method, computer device, and computer-readable storage medium | |
| CN109345490B (en) | Method and system for enhancing real-time video image quality of mobile playing terminal | |
| CN105850114A (en) | Method for inverse tone mapping of an image | |
| KR20150120993A (en) | Display management for high dynamic range video | |
| KR20090087084A (en) | Gamut adaptation | |
| US20090290063A1 (en) | System and Method for Processing Videos and Images to a Determined Quality Level | |
| CN107862672B (en) | Image defogging method and device | |
| TWI698124B (en) | Image adjustment method and associated image processing circuit | |
| CN103685850A (en) | Image processing method and image processing apparatus | |
| CN104811677A (en) | Display control method and device of mobile terminal | |
| CN104935902A (en) | Image color enhancement method and device, and electronic equipment | |
| US20180084180A1 (en) | Display apparatus and method of processing image thereof | |
| KR102522692B1 (en) | Methods, processing systems and computer programs for processing images | |
| CN103517048B (en) | Adaptive edge strengthens | |
| CN107786865B (en) | A kind for the treatment of method and apparatus of video frame | |
| WO2012153661A1 (en) | Image correction device, image correction display device, image correction method, program, and recording medium | |
| CN113507572A (en) | Video picture display method, device, terminal and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20170301 Termination date: 20180620 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |