CN102801938B - Improve the method and device of Display Contrast - Google Patents
Improve the method and device of Display Contrast Download PDFInfo
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Abstract
The invention provides a kind of method for improving Display Contrast, its realization comprises the following steps：Truncating histogram is counted, and statistics is made to the luminance signal distribution characteristics of whole screen；Accumulated probability distribution function, obtain the accumulated probability distribution function to blocking the luminance signal in section；Gamma mapping tables are generated, the Gamma mapping tables to current screen display content are drawn by accumulated probability distribution function, the table is searched and draws the brightness mapping value based on statistics with histogram；The beneficial effects of the invention are as follows：The present invention is by the statistical analysis to original video information, and the contrast of dynamic adjustment output video, so as to reach the purpose of lifting output video contrast's scope, the quality of video image also can accordingly be improved；The present invention can complete all processing functions of dynamic self-adapting contrast lifting only with a piece of 256 × 24bit SRAM, and the hardware design so done possesses suitable advantage on the hardware resource of consumption.
Description
Technical field：
The present invention relates to Video post-processing field, the one kind in especially digital TV video frequency post processing field is applied to TV
The system of the improvement Display Contrast of reception system.
Background technology：
It is well known that digital TV video frequency post-processes field, such as set top box, digital TV integrated machine etc. due to being imaged
The limitation of many objective condition such as ambient video transmission path is recorded in equipment, shooting, and actual transmissions regard to set top box/all-in-one
It is smaller that frequency information may have a contrast range, image local or overall partially dark, partially bright etc. many deficiencies.
Typically all vision signal is carried out using different RAM/ROM when doing contrast ratio enhancement systems in the prior art bright
Degree statistics, integral operation, Gamma table brightness transitions, or all input videos are entered using non-dynamic (non-self-adapting) mode
The same contrast stretching of row.Certainly, the former needs to consume excessive register or RAM/ROM resources, and the processing trace of the latter
Mark is then excessively obvious, and has obvious deficiency in processing quality.
In view of the above problems, the side for realizing Adaptive contrast enhancement that a kind of practicality is good, operating performance is higher
The invention of method and device is imperative.
The content of the invention：
The technical problem to be solved in the present invention is mainly：Prior art is when doing contrast enhancing circuit typically all using not
Same RAM/ROM carries out brightness statistics, integral operation, Gamma table brightness transitions to vision signal, or uses non-dynamic (non-
Adaptively) mode carries out same contrast stretching to all input videos.The former needs to consume excessive register or RAM/
ROM resources, and the processing vestige of the latter is obvious, and have obvious deficiency etc. in processing quality.
In order to solve the above technical problems, the invention provides a kind of improvement Display Contrast applied to TV receiving system
System, it include truncating histogram statistics, statistics is made to the luminance signal distribution characteristics of whole screen；Accumulated probability is distributed
Function, obtain the accumulated probability distribution function to blocking the luminance signal in section；Gamma mapping tables, are distributed by accumulated probability
Function draws the Gamma mapping tables to current screen display content, searches the table and draws the brightness mapping based on statistics with histogram
Value.
I.e.：A kind of method for improving Display Contrast, its realization comprise the following steps：
Truncating histogram is counted, and statistics is made to the luminance signal distribution characteristics of whole screen；
Accumulated probability distribution function, obtain the accumulated probability distribution function to blocking the luminance signal in section；
Gamma mapping tables are generated, the Gamma mappings to current screen display content are drawn by accumulated probability distribution function
Table, search the table and draw the brightness mapping value based on statistics with histogram.
A piece of static memory is used only in the implementation process of methods described.
The static memory is 256 × 24bit, wherein 256 × 16bit is used for storing the brightness letter of statistic histogram
Breath, 256 × 8bit are used for storing brightness cumulative probability function and Gamma mapping tables.
The static memory is in the intraoral statistics for entering column hisgram to image of time windows of live video stream, calculating
Brightness accumulated probability statistical function, and generate Gamma mapping tables.
According to the method for claim 1, it is characterised in that：The brightness Gamma mapping tables of the video image are per frame
It can be updated according to the luminance signal statistical distribution of present frame, to realize dynamic self-adapting contrast.
The statistics of the truncating histogram was carried out in the video image valid period, and other three processes are all in image
Blanking interval is carried out.
A kind of device for improving Display Contrast, it includes following module：
Statistics with histogram module, truncating histogram statistics, statistics is made to the luminance signal distribution characteristics of whole screen；
Cumulative probability function computing module, accumulated probability distribution function, obtain to blocking the tired of the luminance signal in section
Count probability-distribution function；
Gamma mapping table computing modules, Gamma mapping tables are generated, are drawn by accumulated probability distribution function to current screen
The Gamma mapping tables of display content, search the table and draw the brightness mapping value based on statistics with histogram.
A piece of static memory is used only in the main functional modules of described device in implementation process.
The static memory is 256 × 24bit, wherein 256 × 16bit is used for realizing statistic histogram function, 256 ×
8bi t are used for realizing brightness cumulative probability function function and Gamma mapping tables.
The static memory is in the intraoral statistics for entering column hisgram to image of time windows of live video stream, calculating
Brightness accumulated probability statistical function, and generate Gamma mapping tables.
The brightness Gamma mapping tables of the video image can update per frame according to the luminance signal statistical distribution of present frame,
To realize dynamic self-adapting contrast.
The beneficial effects of the invention are as follows：
The present invention passes through the statistical analysis to original video information, the contrast of dynamic adjustment output video, so as to reach
To the purpose of lifting output video contrast's scope, the quality of video image also can accordingly be improved.
The present invention carries out the statistical distribution again of brightness value by the way of a kind of dynamic self-adapting to view picture video image,
Dynamic contrast scope can effectively be extended, and human eye is perceived without obvious processing vestige, and it is natural to play dynamic video
It is smooth.
The present invention can complete all places of dynamic self-adapting contrast lifting only with a piece of 256 × 24bit SRAM
Function is managed, the hardware design so done possesses suitable advantage on the hardware resource of consumption.
Brief description of the drawings：
By the way that below embodiments of the invention are combined with the description of its accompanying drawing, it will be further appreciated that the purpose of its invention,
Specific structural features and advantage.Wherein, accompanying drawing is：
Fig. 1 is：The present invention improves the schematic flow sheet of the method for Display Contrast；
Fig. 2 is：The present invention improves the module diagram of device corresponding to the method for Display Contrast；
Fig. 3 is：Statistics with histogram modular device schematic diagram of the present invention；
Fig. 4 is：Brightness histogram representative of the present invention；
Fig. 5 is：The present invention improves the operation chart of the method for Display Contrast.
Embodiment：
The present invention is applied to digital TV video frequency post processing field, such as set top box, digital TV integrated machine etc..The present invention is logical
The statistical analysis to original video information is crossed, the contrast of dynamic adjustment output video, so as to reach lifting output video pair
Than the purpose of degree scope, the quality of video image also can accordingly be improved.
As Figure 1-5, the present invention carries out brightness value by the way of a kind of dynamic self-adapting to view picture video image
Again statistical distribution, dynamic contrast scope can effectively be extended, and human eye is perceived without obvious processing vestige, is played
Dynamic video is natural and tripping.
The present invention can complete all places of dynamic self-adapting contrast lifting only with a piece of 256 × 24bit SRAM
Function is managed, wherein 256 × 16bit SRAM is used for storing the monochrome information of statistic histogram, 256 × 8bit is used for storing brightness
Cumulative probability function and Gamma mapping tables, realized respectively with low 16 with a piece of SRAM and most-significant byte, SRAM control letter
Number line uses same group.The hardware design so done possesses suitable advantage on the hardware resource of consumption.
The present invention is a kind of method and device of the improvement Display Contrast applied to TV receiving system, and it includes：Directly
Square figure statistical module, truncating histogram statistics, statistics is made to the luminance signal distribution characteristics of whole screen；Cumulative probability function
Computing module, accumulated probability distribution function, obtain the accumulated probability distribution function to blocking the luminance signal in section；Gamma
Mapping table computing module, Gamma mapping tables are generated, are drawn by accumulated probability distribution function to current screen display content
Gamma mapping tables, search the table and draw the brightness mapping value based on statistics with histogram.The look-up table can be according to picture material dynamic
Renewal.Search the table and draw the brightness mapping value based on statistics with histogram, incoming video signal obtains through this Gamma mappings table search
Go out new brightness value to come back on screen, that is, obtain the vision signal after contrast dynamic broadening.
Present invention utilizes the feature of vision signal, and the effective time-division has been carried out to the data for needing to cache in processing procedure
Multiplexing process, luminance signal distribution is counted during vision signal is effectively transmitted, in the black-out of video signal phase by with a piece of SRAM
Carry out the calculating of cumulative distribution function and the generation of Gamma mapping tables.Whole process circuit only used a piece of 256 ×
24bi t SRAM.
Due to the present invention relates to video reception apparatus processing be all live video stream, so can not be by present frame
Information is adjusted to the contrast of present frame.According to Fig. 1, the dynamic contrast Gamma mapping tables of current video frame
It is to count what is obtained according to the luminance signal of previous frame of video, because the continuity and the present invention of vision signal are adopted in processing
Interframe smoothing processing mode, such quasi real time mode can accomplish very close processing in real time in effect.
In practical operation, achievable embodiment is as follows：
First, process one：Statistics with histogram module, truncating histogram statistics is carried out to the luminance signal of current frame image.
If luminance accuracy is 8bit, i.e., brightness value section is 0~255, then entire image is counted in 0~255 brightness section
Statistics.If it is more than certain threshold value (such as the 1% of entire image total pixel number) in the statistical counting of a certain brightness value, then it is assumed that the point
Luminance weights value is excessive, it is necessary to the cumulative statistical value of unnecessary pixel is included in into residual pixel number iCountSurplus, in luminance threshold
Pixel within value is then included in statistical value iValueCountIn.DNumAdd=iCountSurplus/256 is made, the value is brightness
The average residual pixel count of every in interval range.Meanwhile also need to input pixel intensity and carry out cumulative statistics to calculate
Go out the mean flow rate V of imageave。
Secondly, process two：Cumulative probability function computing module, calculate accumulative brightness probability function.Set minimum and highest
Two threshold value holes, TH, the statistics points in truncating histogram are added up according to the order of brightness value from low to high, cumulative
Brightness value when value respectively reaches TL and TH is exactly typical highest and minimum brightness shown in Fig. 1.Also, enter in cumulative process
The calculating of row brightness cumulative statistics probability：
DCDF [i]=(Count [i]+(1+i) * dNumAdd) * f (formula 1)
Wherein i is the brightness value that current statistic arrives, and Count [i] is cumulative statistics number when counting on present intensity value,
F is the inverse that a two field picture is always counted.
Then, process three：Calculate the mean flow rate after preferable mean flow rate and regulation coefficient Lemda, K and adjustment.It is preferable
Mean flow rate is defined by equation below：
Vpsudo=(iValueCountIn+128*iCountSurplus) * f (formula 2)
It is 5 to define non-linear Gamma and averagely move control constant, and histogram equalization coefficient is 0.3, if 0.3* | Vave-
Vpseudo| less than 5, then regulation coefficient Lemda=0.3, otherwise Lemda=5* | Vave-Vpseudo|/256.It is average bright after adjustment
Spend Vadj=Lemda* | Vave-Vpseudo|+Vave
Regulation coefficient K is the individual constant less than or equal to 1.5, after the value is by typical highest and minimum brightness value and adjustment
Mean flow rate VadjObtained after being developed via a series of formula.
Finally, process four：Gamma mapping table computing modules, are calculated Gamma mapping tables, and the next frame of input is regarded
The Gamma tables that frequency signal is drawn via present frame remap, you can obtain the vision signal that contrast adaptively strengthens.
The intermediate variable that Gamma is obtained by first three process is drawn via below equation：
P1=(dCDF [i] * 256-i) * Lemda；
P2=(i-Vave)*K+Vadj；(formula 3)
G (i)=P1*K+p2；
In order to ensure the continuity of output image, calculate parameter Lemda and K during Gamma mapping tables and be required to take
The average value of continuous some frames.
In whole processing procedure, only process one, the i.e. statistics of truncating histogram were entered in the video image valid period
Capable, other three processes are all carried out in the blanking interval of image.A piece of 256 × 24bit SRAM stores Nogata in process one
Statistic of the figure in each brightness value, by taking high-definition video signal as an example, a two field picture sum of all pixels 1% for 1920 ×
1080 × 0.01=20376, therefore the statistics to luminance signal truncating histogram can be completed with SRAM low 16bi t.In process
In two, SRAM high 8bi t store the accumulative brightness probability of every one-level brightness in 256 grades of brightness sections, are deposited in process four
Store up brightness Gamma table mapping values.Specific storage mode is as described below：
Process one：As in Figure 3-5, the low 16bit of SRAM per frame start to be required for be initialized as 0, real-time video flowing
In luminance signal directly as SRAM reading address rd-addr, SRAM receiving read address after next clock cycle
Provide and read data rd-data, if the present intensity value LumaData-in or y and brightness data y-d1 of next clock cycle
, and y is suitable with the brightness data y-d2 of next one clock cycle, then wr-data values are that rd-data adds 2, otherwise wr-
Data values are that rd-data adds 1 to write back to SRAM, and wr-addr is the value made a call to the rd-addr clock cycle after two bats.Its result is just
Similar Fig. 4 brightness histogram can be obtained.
Process two：After the luminance histogram statistics of process one terminate, in starting with a piece of for black-out of video signal phase
The accumulative brightness probability function of SRAM storages.According to order of the brightness from 0 to 255, sequential read out stored in the low 16bit of SRAM it is bright
Number of degrees value Count [i], according to formula 1, resulting brightness probability function.The function is the decimal between individual 0 to 1, in order to
Convenient storage and the requirement for reducing precision, the probability function that formula 1 obtains can be exaggerated 256 times of storages and arrive with a piece of SRAM
In high 8bit.
Process three：The probability function of process two statistics terminate after, equally during the blanking of vision signal, according to brightness from
0 to 255 order, the probability function dCDF [i] stored in SRAM is read, Gamma mapping table values are calculated according to formula 3, should
The excursion of value is also 0 to 255, therefore can be by Gamma mapping values deposit corresponding to each brightness value with a piece of SRAM height
In 8bit.
So far, per frame, the adaptive Gamma mapping tables of renewal have generated, and the video luminance signal value of next frame needs to read
Corresponding Gamma mapping values are taken in SRAM to correct, so as to reach the purpose of contrast enhancing.This process and process one are same
What step was carried out, the live video stream of each pixel is come in, and reads SRAM 24bit data, and high 8b it therein are used for carrying out
Gamma maps, and low 16bit is used for carrying out the truncating histogram statistics of process one.Whole flow process is as shown in Figure 1, shown in Figure 5.
The description of above preferred embodiment enables those skilled in the art to manufacture or using the present invention.These embodiments
Various modifications will be apparent to the person skilled in the art, and the General Principle defined here can be applied to it
Without departing from the spirit or scope of the present invention in its embodiment.Therefore, the present invention is not limited to shown here embodiment, and wants
Meet the broadest scope consistent with the principle and novel feature disclosed here.
Claims (12)
- A kind of 1. method for improving Display Contrast, it is characterised in that it comprises the following steps：Truncating histogram is counted, and statistics is made to the luminance signal distribution characteristics of whole screen, wherein,If being more than certain luminance threshold in the statistical counting of a certain brightness value, the cumulative statistical value of unnecessary pixel is included in residual pixel Number, obtains the average residual pixel count of every in the range of brightness section, bright using the residual pixel number and brightness section scope Pixel within degree threshold value is then included in statistical value in threshold value, also input pixel intensity is used to calculate figure with cumulative statistics is carried out The mean flow rate of picture；Accumulated probability distribution function, the accumulated probability distribution function to blocking the luminance signal in section is obtained, wherein,The lowest threshold and highest threshold value of brightness are set, according to the order of brightness value from low to high to the statistics in truncating histogram Points are added up, and the brightness value when accumulated value respectively reaches lowest threshold and highest threshold value is exactly typical maximum brightness and most Low-light level, the calculating of brightness cumulative statistics probability is carried out in cumulative process：DCDF [i]=(Count [i]+(1+i) * dNumAdd) * fWherein i is the brightness value that current statistic arrives, and Count [i] is cumulative statistics number when counting on present intensity value, DNumAdd is average residual pixel count, and f is the inverse that a two field picture is always counted；Gamma mapping tables are generated, the Gamma mapping tables to current screen display content are drawn by accumulated probability distribution function, looked into The table is looked for draw the brightness mapping value based on statistics with histogram.
- 2. according to the method for claim 1, it is characterised in that：Deposited in the implementation process of methods described using only a piece of static state Reservoir.
- 3. according to the method for claim 2, it is characterised in that：The static memory is 256 × 24bit, wherein 256 × 16bit is used for storing the monochrome information of statistic histogram, and 256 × 8bit is used for storing brightness cumulative probability function and Gamma reflects Firing table.
- 4. according to any described method of Claims 2 or 3, it is characterised in that：The static memory is in live video stream The intraoral statistics for entering column hisgram to image of time windows, brightness accumulated probability statistical function is calculated, and generate Gamma mappings Table.
- 5. according to the method for claim 1, it is characterised in that：The brightness Gamma mapping tables of image can root per frame in video Updated according to the luminance signal statistical distribution of present frame, to realize dynamic self-adapting contrast.
- 6. according to the method for claim 1, it is characterised in that：The statistics of the truncating histogram is effective in video image What period was carried out, other processes are all carried out in the blanking interval of image.
- 7. a kind of device for improving Display Contrast, it is characterised in that it includes following module：Statistics with histogram module, truncating histogram statistics, statistics is made to the luminance signal distribution characteristics of whole screen, wherein,If being more than certain luminance threshold in the statistical counting of a certain brightness value, the cumulative statistical value of unnecessary pixel is included in residual pixel Number, obtains the average residual pixel count of every in the range of brightness section, bright using the residual pixel number and brightness section scope Pixel within degree threshold value is then included in statistical value in threshold value, also input pixel intensity is used to calculate figure with cumulative statistics is carried out The mean flow rate of picture；Cumulative probability function computing module, accumulated probability distribution function, obtain to blocking the accumulative general of the luminance signal in section Rate distribution function, wherein,The lowest threshold and highest threshold value of brightness are set, according to the order of brightness value from low to high to the statistics in truncating histogram Points are added up, and the brightness value when accumulated value respectively reaches lowest threshold and highest threshold value is exactly typical maximum brightness and most Low-light level, the calculating of brightness cumulative statistics probability is carried out in cumulative process：DCDF [i]=(Count [i]+(1+i) * dNumAdd) * fWherein i is the brightness value that current statistic arrives, and Count [i] is cumulative statistics number when counting on present intensity value, DNumAdd is average residual pixel count, and f is the inverse that a two field picture is always counted；Gamma mapping table computing modules, Gamma mapping tables are generated, is drawn by accumulated probability distribution function and current screen is shown The Gamma mapping tables of content, search the table and draw the brightness mapping value based on statistics with histogram.
- 8. device according to claim 7, it is characterised in that：The main functional modules of described device in implementation process only Use a piece of static memory.
- 9. device according to claim 8, it is characterised in that：The static memory is 256 × 24bit, wherein 256 × 16bit is used for realizing statistic histogram function, and 256 × 8bit is used for realizing brightness cumulative probability function function and Gamma mappings Table.
- 10. according to any described device of claim 8 or 9, it is characterised in that：The static memory is in live video stream The intraoral statistics for entering column hisgram to image of time windows, brightness accumulated probability statistical function is calculated, and generate Gamma mappings Table.
- 11. device according to claim 7, it is characterised in that：The brightness Gamma mapping tables of image can root per frame in video Updated according to the luminance signal statistical distribution of present frame, to realize dynamic self-adapting contrast.
- 12. device according to claim 7, it is characterised in that：The statistics of the truncating histogram is that have in video image Carried out during effect, other processes are all carried out in the blanking interval of image.
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| CN103313002B (en) * | 2013-07-05 | 2017-02-22 | 中邮科通信技术股份有限公司 | Situation-based mobile streaming media energy-saving optimization method |
| CN105163101A (en) * | 2015-07-01 | 2015-12-16 | 深圳天珑无线科技有限公司 | Image display method and device |
| CN108806638B (en) * | 2017-04-27 | 2021-01-22 | 深圳市Tcl高新技术开发有限公司 | Image display method and device |
| TWI703863B (en) | 2019-06-13 | 2020-09-01 | 瑞昱半導體股份有限公司 | Method for detecting video quality and image processing circuit thereof |
| CN110225403A (en) * | 2019-07-12 | 2019-09-10 | 四川长虹电器股份有限公司 | The bright dark scene of video image identifies control method |
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