CN101359465A - Method for improving image scaling quality - Google Patents
Method for improving image scaling quality Download PDFInfo
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- CN101359465A CN101359465A CNA2008100461110A CN200810046111A CN101359465A CN 101359465 A CN101359465 A CN 101359465A CN A2008100461110 A CNA2008100461110 A CN A2008100461110A CN 200810046111 A CN200810046111 A CN 200810046111A CN 101359465 A CN101359465 A CN 101359465A
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Abstract
The invention discloses a method of improving the image quality during the image zooming process; the window brightness average value and the chromaticity before zooming are calculated to select the macro block subdivision according to the proportion coefficient obtained through the window size before zooming divided by the window size after zooming; the filtration is processed in the selected macro block mode; the image brightness average value and the chromaticity average value after the calculation of the filtration are compared with the window brightness average value and the chromaticity before zooming; the steps of edge brightness adjustment and the edge chromaticity adjustment are processed; finally, the image data after the adjustment is outputted. The invention overcomes the defect that the brightness and chromaticity cannot be improved simultaneously during the zooming process of the dynamic video image in the prior art, and provides a method which enriches the image grey gradation and the color gradation performance after zooming, reinforces the light-shade contrast grade and improves the whole image quality; the method can be applied to the video field.
Description
Technical field
The present invention relates to method of video image processing, the method for image quality when being specifically related to improve image zoom.
Background technology
Along with the development in fields such as communication, computing machine, the application of video image is extensive day by day.Demonstration to video image seems abundanter, often video image need be amplified or dwindle demonstration.For example on computers, often be multiwindow reality video image.Use picture-in-picture function or the like on TV.When amplifying or dwindle demonstration, variation has taken place owing to show size, environment, if still continue to use the brightness and the colourity of original video image, will influence people's impression.Be called " a kind of method of adjustment that is used for image quality " disclosed of on September 12nd, 2007, publication number is in the Chinese patent application of CN101035195A, the method that a kind of detected image overall brightness is provided and has adjusted.This method is monitored processing frame by frame to television image, to improving image quality certain effect is arranged.But the prior art can only be handled by a whole two field picture, and has only improved brightness, the color of image is not improved.
Summary of the invention
The present invention has overcome the deficiencies in the prior art, and the method when improving video image zooming is provided.
For solving above-mentioned technical matters, the present invention by the following technical solutions:
Improve the method for image scaling quality, according to following steps:
Steps A. the mean value of brightness and the mean value of colourity in the statistics convergent-divergent front window;
Step B. divided by convergent-divergent front window magnitude proportion coefficient, selects macroblock partition according to convergent-divergent rear hatch size;
Step C. carries out filtering in selected macro block mode;
The mean value of the image brightness behind the step D. statistical filtering and the mean value of colourity with the mean value of the image brightness of convergent-divergent front window and the mean value comparison of colourity, carry out edge brightness and edge colourity adjustment;
Step e. export adjusted pictorial data.
Further technical scheme is among the step B, and macroblock partition is that window is divided into 4x4,4x8,8x4,8x8,8x16,16x8 or 16x16 part.
Further technical scheme be the horizontal scaling scale-up factor of resize-window be 〉=0.5 and<2.0, the vertically scale scale-up factor is 〉=0.5 and<2.0 o'clock, macroblock partition is selected 4x4; The horizontal scaling scale-up factor of window is 〉=0.5 and<2.0, the vertically scale scale-up factor is 〉=2.0 and<4.0 o'clock, macroblock partition is selected 4x8; The horizontal scaling scale-up factor of window is 〉=2.0 and<4.0, the vertically scale scale-up factor is 〉=0.5 and<2.0 o'clock, macroblock partition is selected 8x4; The horizontal scaling scale-up factor of window is 〉=2.0 and<4.0, the vertically scale scale-up factor is 〉=2.0 and<4.0 o'clock, macroblock partition is selected 8x8; The horizontal scaling scale-up factor of window is 〉=0.5 and<4.0, the vertically scale scale-up factor is 〉=4.0 and<8.0 o'clock, macroblock partition is selected 8x16; The horizontal scaling scale-up factor of window is 〉=4.0 and<8.0, the vertically scale scale-up factor is 〉=0.5 and<4.0 o'clock, macroblock partition is selected 16x8; The horizontal scaling scale-up factor of window is 〉=4.0 and<8.0, the vertically scale scale-up factor is 〉=4.0 and<8.0 o'clock, macroblock partition is selected 16x16; The horizontal scaling scale-up factor of window and vertically scale scale-up factor all do not fall into above-mentioned when interval, and macroblock partition is selected 16x16.
Further technical scheme is among the step C, and filtering mode is level, vertical, cross filtering or direct any in the copy etc.
Further technical scheme is among the step D, the mean value of image brightness after the filtering, and the absolute value of the difference of the mean value of the image brightness of convergent-divergent front window carries out the edge brightness adjustment again 2 between 5 the time.
Further technical scheme is among the step D, the mean value of colourity after the filtering, and the absolute value of the difference of the mean value of the colourity of convergent-divergent front window carries out the adjustment of edge colourity again 0.02 between 0.05 the time.
Further technical scheme is that the edge filter picture element number adjusted is between 1 to 3.
Further technical scheme is for sequence line by line, each frame according to steps A to the step e adjustment; For interlaced, each or frame according to steps A to the step e adjustment; For still image, directly the back pictorial data is adjusted in output.
Compared with prior art, the invention has the beneficial effects as follows and enrich ganmma controller level and gradation performance behind the scaling, strengthen the light and shade contrast, improve the level of whole image quality.
Description of drawings
Accompanying drawing is a step synoptic diagram of the present invention.
Embodiment
The present invention is further elaborated below in conjunction with accompanying drawing.
On simulated television, plan on the picture picture of one 1/3 size and be amplified to all over the screenly, then the horizontal scaling scale-up factor is 3.0, the vertically scale scale-up factor is 3.0, selects macroblock partition to select 8x8.At first statistics is amplified the brightness of the preceding first frame original window and the mean value of colourity, and the mean value of brightness is 200cd square metre, and the mean value of colourity is 0.250.After adopting cross filtering to carry out filtering in the macro block of 8x8, by interpolation method, calculate image all over the screen, every square metre of the mean value 202cd of the brightness of image after calculating is amplified again, the mean value of colourity is 0.310.The absolute value of the difference of the average brightness before and after the convergent-divergent is every square metre of 2cd, carries out the brightness adjustment to amplifying 2 pixels of back edge of image, reduces every square metre of each pixel brightness 2cd.The absolute value of the difference of the colourity mean value before and after the convergent-divergent is 0.06, and the colourity of edge pixel is not adjusted.This frame data output that to adjust brightness again is used for showing.
The image of each frame original window before amplifying and the image after the amplification are all handled according to the method described above, formed final amplification rear video image, all show on TV, realize the level and smooth amplification of window.
By weight Zoom method of the present invention, the performance of ganmma controller level and gradation strengthens the light and shade contrast behind scaling, improves the level of whole image quality, and the amplification process of video is more natural and tripping, for the beholder provides impression more attractive in appearance.
Claims (8)
1, improve the method for image scaling quality, it is characterized in that according to following flow process:
Steps A. the mean value of brightness and the mean value of colourity in the statistics convergent-divergent front window;
Step B. divided by convergent-divergent front window magnitude proportion coefficient, selects macroblock partition according to convergent-divergent rear hatch size;
Step C. carries out filtering in selected macro block mode;
The mean value of the image brightness behind the step D. statistical filtering and the mean value of colourity with the mean value of the image brightness of convergent-divergent front window and the mean value comparison of colourity, carry out edge brightness and edge colourity adjustment;
Step e. export adjusted pictorial data.
2, the method for improving image scaling quality according to claim 1 is characterized in that among the described step B, and macroblock partition is that window is divided into 4 * 4,4 * 8,8 * 4,8 * 8,8 * 16,16 * 8 or 16 * 16 parts.
3, the method for improving image scaling quality according to claim 2, it is characterized in that the horizontal scaling scale-up factor of described resize-window is 〉=0.5 and<2.0, the vertically scale scale-up factor is 〉=0.5 and<2.0 o'clock, macroblock partition selects 4 * 4; The horizontal scaling scale-up factor of window is 〉=0.5 and<2.0, the vertically scale scale-up factor is 〉=2.0 and<4.0 o'clock, macroblock partition selects 4 * 8; The horizontal scaling scale-up factor of window is 〉=2.0 and<4.0, the vertically scale scale-up factor is 〉=0.5 and<2.0 o'clock, macroblock partition selects 8 * 4; The horizontal scaling scale-up factor of window is 〉=2.0 and<4.0, the vertically scale scale-up factor is 〉=2.0 and<4.0 o'clock, macroblock partition selects 8 * 8; The horizontal scaling scale-up factor of window is 〉=0.5 and<4.0, the vertically scale scale-up factor is 〉=4.0 and<8.0 o'clock, macroblock partition selects 8 * 16; The horizontal scaling scale-up factor of window is 〉=4.0 and<8.0, the vertically scale scale-up factor is 〉=0.5 and<4.0 o'clock, macroblock partition selects 16 * 8; The horizontal scaling scale-up factor of window is 〉=4.0 and<8.0, the vertically scale scale-up factor is 〉=4.0 and<8.0 o'clock, macroblock partition selects 16 * 16; The horizontal scaling scale-up factor of window and vertically scale scale-up factor all do not fall into above-mentioned when interval, and macroblock partition selects 16 * 16.
4, the method for improving image scaling quality according to claim 1 is characterized in that among the described step C, and filtering mode is level, vertical, cross filtering or direct any in the copy etc.
5, the method for improving image scaling quality according to claim 1, it is characterized in that among the described step D, the mean value of image brightness after the filtering, and the absolute value of the difference of the mean value of the image brightness of convergent-divergent front window carries out the edge brightness adjustment again 2 between 5 the time.
6, the method for improving image scaling quality according to claim 1, it is characterized in that among the described step D, the mean value of colourity after the filtering, and the absolute value of the difference of the mean value of the colourity of convergent-divergent front window carries out the adjustment of edge colourity again 0.02 between 0.05 the time.
7, according to claim 5 or the described method of improving image scaling quality of claim 6, the edge filter picture element number that it is characterized in that described adjustment is between 1 to 3.
8, according to claim 1 to the described method of improving image scaling quality of the arbitrary claim of claim 6, it is characterized in that for sequence line by line, each frame according to steps A to the step e adjustment; For interlaced, each or frame according to steps A to the step e adjustment; For still image, directly the back pictorial data is adjusted in output.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102891998A (en) * | 2011-07-22 | 2013-01-23 | 安凯(广州)微电子技术有限公司 | Image zooming and encoding method and system |
CN103916649A (en) * | 2012-12-31 | 2014-07-09 | 展讯通信(上海)有限公司 | Image processing method, apparatus and system |
CN107527319A (en) * | 2016-06-20 | 2017-12-29 | 阿里巴巴集团控股有限公司 | Image shrinking method and device |
CN108537729A (en) * | 2018-03-27 | 2018-09-14 | 珠海全志科技股份有限公司 | Picture scaling method, computer installation and computer readable storage medium |
CN110853014A (en) * | 2019-11-12 | 2020-02-28 | 王文学 | Failure rate analysis device for cancer operating room |
-
2008
- 2008-09-19 CN CN2008100461110A patent/CN101359465B/en active Active
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102891998A (en) * | 2011-07-22 | 2013-01-23 | 安凯(广州)微电子技术有限公司 | Image zooming and encoding method and system |
CN102891998B (en) * | 2011-07-22 | 2015-08-05 | 安凯(广州)微电子技术有限公司 | A kind of image scaling, coding method and system |
CN103916649A (en) * | 2012-12-31 | 2014-07-09 | 展讯通信(上海)有限公司 | Image processing method, apparatus and system |
CN103916649B (en) * | 2012-12-31 | 2017-03-15 | 展讯通信(上海)有限公司 | A kind of image processing method and device, system |
CN107527319A (en) * | 2016-06-20 | 2017-12-29 | 阿里巴巴集团控股有限公司 | Image shrinking method and device |
CN108537729A (en) * | 2018-03-27 | 2018-09-14 | 珠海全志科技股份有限公司 | Picture scaling method, computer installation and computer readable storage medium |
CN108537729B (en) * | 2018-03-27 | 2022-03-04 | 珠海全志科技股份有限公司 | Image stepless zooming method, computer device and computer readable storage medium |
CN110853014A (en) * | 2019-11-12 | 2020-02-28 | 王文学 | Failure rate analysis device for cancer operating room |
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