CN103763537A - Method and device for dynamically regulating display image quality - Google Patents
Method and device for dynamically regulating display image quality Download PDFInfo
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Abstract
The invention discloses a method for dynamically regulating display image quality. The method includes the steps of receiving a video signal, conducting color space conversion on the video signal to obtain a luminance signal and a chromaticity signal, obtaining a luminance level distribution graph of the current frame of image according to the luminance value, in the luminance signal, of the current frame of image, dynamically regulating the luminance of the current frame of image according to the luminance level distribution graph of the current frame of image to obtain a dynamic contrast ratio curve of the current frame of image, and dynamically regulating the saturability, in the chromaticity signal, of the current frame of image on the basis of the chromaticity signal according to the dynamic contrast ratio curve of the current frame of image so as to obtain a dynamic saturability curve of the current frame of image. The invention further discloses a device for dynamically regulating display image quality. According to the method, the contrast ratio of the image is regulated according to the luminance value of the image in the video signal, the saturability of the image is regulated in a self-adaptive mode according to the contrast ratio obtained through regulation, the regulated image is made to be clearer, and the image quality is effectively improved.
Description
Technical field
The present invention relates to technical field of liquid crystal display, specially refer to the method and apparatus that dynamic adjustments shows image quality.
Background technology
At present, lcd technology has developed into certain level, people are also more and more higher to the requirement of display device, in order to make picture seem more natural, more identical with real picture, developer has done meticulous processing to image quality, for example, by the method for dynamic adjustments contrast, improve picture stereovision, by the method for picture interleave, improve picture tailing problem etc.But, in the image quality of existing display device, still come with some shortcomings, for example, in darker environment, some picture looks that saturation is higher, gives the dazzling sensation of people; In brighter environment, some picture looks that saturation is on the low side, and picture is unintelligible.And existing display device still the good method of neither one carry out dynamic adjustments saturation, improve image quality.
Summary of the invention
The method and apparatus of main purpose of the present invention for providing a kind of dynamic adjustments to show image quality, can dynamic adjustments saturation, improves image quality.
For achieving the above object, the present invention proposes a kind of method that dynamic adjustments shows image quality, comprises step:
Receiving video signals, carries out color space transformation to described vision signal, obtains luminance signal and carrier chrominance signal;
According to the brightness value of present frame picture in described luminance signal, obtain the intensity level distribution map of present frame picture;
According to the intensity level distribution map of present frame picture, the brightness of dynamic adjustments present frame picture, the dynamic contrast curve of acquisition present frame picture;
According to the dynamic contrast curve of present frame picture, the saturation of present frame picture in carrier chrominance signal described in dynamic adjustments on the basis of described carrier chrominance signal, obtains the dynamic saturation curves of present frame picture.
Preferably, described according to the brightness value of present frame picture in luminance signal, the step that obtains the intensity level distribution map of present frame picture specifically comprises:
Extract the pixel value of each pixel of present frame picture in described luminance signal and corresponding brightness value;
Described brightness value is converted to level value;
Take pixel value as ordinate, level value is abscissa, according to the corresponding relation of pixel value and level value, draws the intensity level distribution map of present frame picture.
Preferably, described according to the intensity level distribution map of present frame picture, the step of the brightness of dynamic adjustments present frame picture specifically comprises:
Judge and in the intensity level distribution map of present frame picture, whether have the pixel of level value lower than dark picture cut-off level;
Level value is reduced lower than brightness value corresponding to the pixel of dark picture cut-off level, make level value corresponding to brightness value before level value=k1 × reduction corresponding to brightness value after reducing, wherein k1 is that default brightness reduces slope, 0 < k1 < 1.
Preferably, described according to the intensity level distribution map of present frame picture, the step of the brightness of dynamic adjustments present frame picture specifically comprises:
Judge in the intensity level distribution map of present frame picture and whether have the pixel of level value higher than bright picture cut-off level;
Level value is promoted higher than brightness value corresponding to the pixel of bright picture cut-off level, make level value corresponding to brightness value before level value=k2 × lifting corresponding to brightness value after promoting, wherein k2 is default luminance raising slope, k2 > 1.
Preferably, described according to the dynamic contrast curve of present frame picture, in carrier chrominance signal, the step of the saturation of present frame picture specifically comprises described in dynamic adjustments:
Extract the saturation of each pixel of present frame picture in described carrier chrominance signal;
According to the brightness value of each pixel in the present frame picture after adjusting, regulate the saturation of each pixel in present frame picture, make level value+k3 corresponding to saturation before level value=adjustment corresponding to saturation after adjusting × (level value corresponding to brightness value before level value-adjustment corresponding to brightness value after adjustment), wherein k3 is that default saturation is adjusted coefficient, k3 > 0.
The present invention also proposes the device that a kind of dynamic adjustments shows image quality, comprising:
Vision signal modular converter, for receiving video signals, carries out color space transformation to described vision signal, obtains luminance signal and carrier chrominance signal;
Luminance signal analysis module, for according to the brightness value of described luminance signal present frame picture, obtains the intensity level distribution map of present frame picture;
Contrast adjustment module, for according to the intensity level distribution map of present frame picture, the brightness of dynamic adjustments present frame picture, obtains the dynamic contrast curve of present frame picture;
Saturation adjustment module, for according to the dynamic contrast curve of present frame picture, the saturation of present frame picture in carrier chrominance signal described in dynamic adjustments on the basis of described carrier chrominance signal, obtains the dynamic saturation curves of present frame picture.
Preferably, described luminance signal analysis module specifically for:
Extract the pixel value of each pixel of present frame picture in described luminance signal and corresponding brightness value;
Described brightness value is converted to level value;
Take pixel value as ordinate, level value is abscissa, according to the corresponding relation of pixel value and level value, draws the intensity level distribution map of present frame picture.
Preferably, described contrast adjustment module specifically for:
Judge and in the intensity level distribution map of present frame picture, whether have the pixel of level value lower than dark picture cut-off level;
Level value is reduced lower than brightness value corresponding to the pixel of dark picture cut-off level, make level value corresponding to brightness value before level value=k1 × reduction corresponding to brightness value after reducing, wherein k1 is that default brightness reduces slope, 0 < k1 < 1.
Preferably, described contrast adjustment module specifically also for:
Judge in the intensity level distribution map of present frame picture and whether have the pixel of level value higher than bright picture cut-off level;
Level value is promoted higher than brightness value corresponding to the pixel of bright picture cut-off level, make level value corresponding to brightness value before level value=k2 × lifting corresponding to brightness value after promoting, wherein k2 is default luminance raising slope, k2 > 1.
Preferably, described saturation adjustment module specifically for:
Extract the saturation of each pixel of present frame picture in described carrier chrominance signal;
According to the brightness value of each pixel in the present frame picture after adjusting, regulate the saturation of each pixel in present frame picture, make level value+k3 corresponding to saturation before level value=adjustment corresponding to saturation after adjusting × (level value corresponding to brightness value before level value-adjustment corresponding to brightness value after adjustment), wherein k3 is that default saturation is adjusted coefficient, k3 > 0.
The present invention, according to the brightness value of picture in vision signal, adjusts picture contrast, and according to the contrast after adjusting, adaptive adjustment picture saturation, makes the picture after adjusting more clear, and image quality has obtained effective improvement.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet that dynamic adjustments of the present invention shows the first embodiment of the method for image quality;
Fig. 2 is the schematic flow sheet that dynamic adjustments of the present invention shows the second embodiment of the method for image quality;
Fig. 3 is the schematic flow sheet that dynamic adjustments of the present invention shows the 3rd embodiment of the method for image quality;
Fig. 4 is the schematic flow sheet that dynamic adjustments of the present invention shows the 4th embodiment of the method for image quality;
Fig. 5 is the structural representation that dynamic adjustments of the present invention shows the embodiment of the device of image quality;
Fig. 6 is intensity level distribution map in the embodiment of the present invention;
Fig. 7 is dynamic contrast curve in the embodiment of the present invention;
Fig. 8 is dynamic saturation curves in the embodiment of the present invention.
Realization, functional characteristics and the advantage of the object of the invention, in connection with embodiment, are described further with reference to accompanying drawing.
Embodiment
Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
As shown in Figure 1, Fig. 1 is the schematic flow sheet that dynamic adjustments of the present invention shows the first embodiment of the method for image quality.The dynamic adjustments that the present embodiment is mentioned shows the method for image quality, comprises step:
Step S10, receiving video signals, carries out color space transformation to vision signal, obtains luminance signal and carrier chrominance signal;
The hardware environment of the present embodiment can be the display device that television set, desktop computer, all-in-one, notebook computer, panel computer, mobile phone etc. can displaying videos.Take television set as example, can receive the vision signal from TV station, DVD player or network by video signal input interface, the forms such as such as AV signal, HDMI signal, YPbPr high-definition signal.Display device carries out color space transformation to vision signal, obtains respectively Y(luminance component after conversion) luminance signal and Cb(chroma blue component)/Cr(red color component) carrier chrominance signal.Luminance signal is sent into luminance signal analysis module through Y luminance channel, carries out luminance signal analyzing and processing, and carrier chrominance signal is sent into saturation adjustment module through Cb/Cr carrier chrominance signal passage, carries out saturation and regulates processing.
Step S20, according to the brightness value of present frame picture in luminance signal, obtains the intensity level distribution map of present frame picture;
In luminance signal, comprised the brightness value of each pixel in multiframe picture, the brightness value of analog quantity can be converted into the level value of digital quantity, so that follow-up brightness value to pixel is adjusted.Obtaining after the corresponding relation of brightness value and level value, and according to the corresponding relation of pixel and brightness value, obtaining the corresponding relation of pixel and level value, drawing out the intensity level distribution map of present frame picture.Intensity level distribution map can adopt block diagram, curve chart, broken line graph etc.
Step S30, according to the intensity level distribution map of present frame picture, the brightness of dynamic adjustments present frame picture, the dynamic contrast curve of acquisition present frame picture;
According to the level value size in intensity level distribution map, adjust the brightness value of picture, increase the brightness value of the pixel that in picture, brightness value is larger, reduce the brightness value of the pixel that brightness value is less, light and shade is distinguished obviously, contrast increases, and according to the picture brightness value before and after adjusting, draws dynamic contrast curve.
Step S40, according to the dynamic contrast curve of present frame picture, the saturation of present frame picture in dynamic adjustments carrier chrominance signal on the basis of described carrier chrominance signal, the dynamic saturation curves of acquisition present frame picture.
Dynamic contrast curve after adjusting is sent into saturation adjustment module, according to dynamic contrast curve self-adapting, adjust, the saturation of the pixel that brightness value increases also increases thereupon, the saturation of the pixel that brightness value reduces also reduces thereupon, picture after adjusting is more clear, according to the picture saturation before and after adjusting, can draw out dynamic saturation curves.
The present embodiment, according to the brightness value of picture in vision signal, is adjusted picture contrast, and according to the contrast after adjusting, adaptive adjustment picture saturation, makes the picture after adjusting more clear, and image quality has obtained effective improvement.
As shown in Figure 2, Fig. 2 is the schematic flow sheet that dynamic adjustments of the present invention shows the second embodiment of the method for image quality.The present embodiment is take embodiment illustrated in fig. 1 as basis, and step S20 specifically comprises:
Step S21, extracts the pixel value of each pixel of present frame picture in luminance signal and corresponding brightness value;
In luminance signal, comprised the picture brightness value of analog quantity, in picture, each pixel is to there being brightness value separately, and each pixel represents the position of pixel by pixel value separately.
Step S22, is converted to level value by brightness value;
The brightness value of analog quantity is converted to the level value of digital quantity, so that follow-up brightness value to pixel is adjusted.
Step S23, take pixel value as ordinate, level value is abscissa, according to the corresponding relation of pixel value and level value, draws the intensity level distribution map of present frame picture.
Obtaining after level value, between pixel value, brightness value, level value, there is corresponding relation, take pixel value as ordinate, level value is that abscissa is drawn intensity level distribution map.Intensity level distribution map can adopt block diagram, curve chart, broken line graph etc.Can be with reference to Fig. 6, Fig. 6 has adopted Columnar Section Drawing intensity level distribution map, for example, and the pixel that is 100 at pixel value, level value is 150.
The present embodiment adopts intensity level distribution map, can clearly obtain the brightness size of each pixel in picture, adopts the level value of digital quantity to carry out the brightness value size of reflected image vegetarian refreshments, makes follow-up adjustment brightness convenient.
As shown in Figure 3, Fig. 3 is the schematic flow sheet that dynamic adjustments of the present invention shows the 3rd embodiment of the method for image quality.The present embodiment is take embodiment illustrated in fig. 1 as basis, and step S30 specifically comprises:
Step S311, judges in the intensity level distribution map of present frame picture, whether there be the pixel of level value lower than dark picture cut-off level;
Step S312, level value is reduced lower than brightness value corresponding to the pixel of dark picture cut-off level, make level value corresponding to brightness value before level value=k1 × reduction corresponding to brightness value after reducing, wherein k1 is that default brightness reduces slope, 0 < k1 < 1.
The present embodiment, can be in the lump with reference to Fig. 7 when adjusting brightness, and abscissa is level value corresponding to brightness, ordinate is the level value that level value corresponding to described brightness obtains after conversion, wherein, dotted portion is the brightness curve before adjusting, and solid line part is the brightness curve after adjusting.For the dark picture in picture, set in advance dark picture cut-off level, for example intensity level value is in 0～255 picture, and default dark picture cut-off level is 60, for level value, lower than 60 pixel, reduces slope reduce brightness value according to default brightness.
Step S321, judges in the intensity level distribution map of present frame picture whether have the pixel of level value higher than bright picture cut-off level;
Step S322, level value is promoted higher than brightness value corresponding to the pixel of bright picture cut-off level, make level value corresponding to brightness value before level value=k2 × lifting corresponding to brightness value after promoting, wherein k2 is default luminance raising slope, k2 > 1.
For the bright picture in picture, set in advance bright picture cut-off level, for example intensity level value is in 0～255 picture, and default bright picture cut-off level is 200, for level value, higher than 200 pixel, according to default luminance raising slope, promotes brightness value.
Determined after dark picture cut-off level pixel and bright picture cut-off level pixel, just can determine higher than dark picture cut-off level and lower than the slope of curve of the pixel of bright picture cut-off level, can do linear interpolation according to dark picture cut-off level pixel and bright picture cut-off level pixel and obtain higher than dark picture cut-off level and lower than the pixel between bright picture cut-off level.
Picture brightness after adjusting in the present embodiment is distinguished more obvious, and contrast increases, and is conducive to improve image quality, makes picture more clear.
As shown in Figure 4, Fig. 4 is the schematic flow sheet that dynamic adjustments of the present invention shows the 4th embodiment of the method for image quality.The present embodiment is take embodiment illustrated in fig. 3 as basis, and step S40 specifically comprises:
Step S41, the saturation of each pixel of present frame picture in extraction carrier chrominance signal;
In carrier chrominance signal, comprised the picture saturation of analog quantity, in picture, each pixel is to there being saturation separately, and each pixel represents the position of pixel by pixel value separately.The level value that the saturation of analog quantity can be converted to digital quantity, represents saturation by level value.
Step S42, according to the brightness value of each pixel in the present frame picture after adjusting, regulate the saturation of each pixel in present frame picture, make level value+k3 corresponding to saturation before level value=adjustment corresponding to saturation after adjusting × (level value corresponding to brightness value before level value-adjustment corresponding to brightness value after adjustment), wherein k3 is that default saturation is adjusted coefficient, k3 > 0.
When regulating saturation, according to the variable quantity of brightness value before and after adjusting, adaptive increase or minimizing saturation.Please Fig. 8 in the lump, in Fig. 8, abscissa is level value corresponding to saturation, and ordinate is the level value that obtain of described level value after conversion, and wherein, dotted portion is the saturation curves before adjusting, and solid line part is the saturation curves after adjusting.For the vicissitudinous pixel of brightness value, calculate this pixel brightness value and change difference, and difference is multiplied by default saturation adjustment coefficient, obtain a saturation regulated value.The pixel reducing for brightness, deducts this saturation regulated value by level value corresponding former saturation, and saturation is reduced; The pixel increasing for brightness, adds this saturation regulated value by level value corresponding former saturation, and saturation is increased.Thus, dynamically the variation tendency of saturation curves and the variation tendency of dynamic contrast curve approach, and have realized saturation with brightness adaptive change.
In the present embodiment, according to the variation of picture brightness, self adaptation is adjusted saturation, makes image quality obtain effective improvement, and the picture of demonstration is more clear.
As shown in Figure 5, Fig. 5 is the structural representation that dynamic adjustments of the present invention shows the embodiment of the device of image quality.The dynamic adjustments that the present embodiment is mentioned shows that the device of image quality comprises:
Vision signal modular converter 10, for receiving video signals, carries out color space transformation to vision signal, obtains luminance signal and carrier chrominance signal;
Luminance signal analysis module 20, for according to the brightness value of luminance signal present frame picture, obtains the intensity level distribution map of present frame picture;
The hardware environment of the present embodiment can be the display device that television set, desktop computer, all-in-one, notebook computer, panel computer, mobile phone etc. can displaying videos.Take television set as example, can receive the vision signal from TV station, DVD player or network by video signal input interface, the forms such as such as AV signal, HDMI signal, YPbPr high-definition signal.Display device carries out color space transformation to vision signal, obtains respectively Y(luminance component after conversion) luminance signal and Cb(chroma blue component)/Cr(red color component) carrier chrominance signal.Luminance signal is sent into luminance signal analysis module 20 through Y luminance channel, carries out luminance signal analyzing and processing, and carrier chrominance signal is sent into saturation adjustment module 40 through Cb/Cr carrier chrominance signal passage, carries out saturation and regulates processing.
In luminance signal, comprised the brightness value of each pixel in multiframe picture, the brightness value of analog quantity can be converted into the level value of digital quantity, so that follow-up brightness value to pixel is adjusted.Obtaining after the corresponding relation of brightness value and level value, and according to the corresponding relation of pixel and brightness value, obtaining the corresponding relation of pixel and level value, drawing out the intensity level distribution map of present frame picture.Intensity level distribution map can adopt block diagram, curve chart, broken line graph etc.According to the level value size in intensity level distribution map, adjust the brightness value of picture, increase the brightness value of the pixel that in picture, brightness value is larger, reduce the brightness value of the pixel that brightness value is less, light and shade is distinguished obviously, contrast increases, and according to the picture brightness value before and after adjusting, draws dynamic contrast curve.Dynamic contrast curve after adjusting is sent into saturation adjustment module 40, according to dynamic contrast curve self-adapting, adjust, the saturation of the pixel that brightness value increases also increases thereupon, the saturation of the pixel that brightness value reduces also reduces thereupon, picture after adjusting is more clear, according to the picture saturation before and after adjusting, can draw out dynamic saturation curves.
The present embodiment, according to the brightness value of picture in vision signal, is adjusted picture contrast, and according to the contrast after adjusting, adaptive adjustment picture saturation, makes the picture after adjusting more clear, and image quality has obtained effective improvement.
Further, luminance signal analysis module 20 specifically for:
Extract the pixel value of each pixel of present frame picture in luminance signal and corresponding brightness value;
Brightness value is converted to level value;
Take pixel value as ordinate, level value is abscissa, according to the corresponding relation of pixel value and level value, draws the intensity level distribution map of present frame picture.
The present embodiment, in luminance signal, has comprised the picture brightness value of analog quantity, and in picture, each pixel is to there being brightness value separately, and each pixel represents the position of pixel by pixel value separately.The brightness value of analog quantity is converted to the level value of digital quantity, so that follow-up brightness value to pixel is adjusted.Obtaining after level value, between pixel value, brightness value, level value, there is corresponding relation, take pixel value as ordinate, level value is that abscissa is drawn intensity level distribution map.Intensity level distribution map can adopt block diagram, curve chart, broken line graph etc.Can be with reference to Fig. 6, Fig. 6 has adopted Columnar Section Drawing intensity level distribution map, for example, and the pixel that is 100 at pixel value, level value is 150.
The present embodiment adopts intensity level distribution map, can clearly obtain the brightness size of each pixel in picture, adopts the level value of digital quantity to carry out the brightness value size of reflected image vegetarian refreshments, makes follow-up adjustment brightness convenient.
Further, contrast adjustment module 30 specifically for:
Judge and in the intensity level distribution map of present frame picture, whether have the pixel of level value lower than dark picture cut-off level;
Level value is reduced lower than brightness value corresponding to the pixel of dark picture cut-off level, make level value corresponding to brightness value before level value=k1 × reduction corresponding to brightness value after reducing, wherein k1 is that default brightness reduces slope, 0 < k1 < 1.
Further, contrast adjustment module 30 specifically also for:
Judge in the intensity level distribution map of present frame picture and whether have the pixel of level value higher than bright picture cut-off level;
Level value is promoted higher than brightness value corresponding to the pixel of bright picture cut-off level, make level value corresponding to brightness value before level value=k2 × lifting corresponding to brightness value after promoting, wherein k2 is default luminance raising slope, k2 > 1.
The present embodiment, can be in the lump with reference to Fig. 7 when adjusting brightness, and abscissa is level value corresponding to brightness, ordinate is the level value that level value corresponding to described brightness obtains after conversion, wherein, dotted portion is the brightness curve before adjusting, and solid line part is the brightness curve after adjusting.For the dark picture in picture, set in advance dark picture cut-off level, for example intensity level value is in 0～255 picture, and default dark picture cut-off level is 60, for level value, lower than 60 pixel, reduces slope reduce brightness value according to default brightness.For the bright picture in picture, set in advance bright picture cut-off level, for example intensity level value is in 0～255 picture, and default bright picture cut-off level is 200, for level value, higher than 200 pixel, according to default luminance raising slope, promotes brightness value.Determined after dark picture cut-off level pixel and bright picture cut-off level pixel, just can determine higher than dark picture cut-off level and lower than the slope of curve of the pixel of bright picture cut-off level, can do linear interpolation according to dark picture cut-off level pixel and bright picture cut-off level pixel and obtain higher than dark picture cut-off level and lower than the pixel between bright picture cut-off level.
Picture brightness after adjusting in the present embodiment is distinguished more obvious, and contrast increases, and is conducive to improve image quality, makes picture more clear.
Further, saturation adjustment module 40 specifically for:
Extract the saturation of each pixel of present frame picture in carrier chrominance signal;
According to the brightness value of each pixel in the present frame picture after adjusting, regulate the saturation of each pixel in present frame picture, make level value+k3 corresponding to saturation before level value=adjustment corresponding to saturation after adjusting × (level value corresponding to brightness value before level value-adjustment corresponding to brightness value after adjustment), wherein k3 is that default saturation is adjusted coefficient, k3 > 0.
In carrier chrominance signal, comprised the picture saturation of analog quantity, in picture, each pixel is to there being saturation separately, and each pixel represents the position of pixel by pixel value separately.The level value that the saturation of analog quantity can be converted to digital quantity, represents saturation by level value.When regulating saturation, according to the variable quantity of brightness value before and after adjusting, adaptive increase or minimizing saturation.Please Fig. 8 in the lump, in Fig. 8, abscissa is level value corresponding to saturation, and ordinate is the level value that obtain of described level value after conversion, and wherein, dotted portion is the saturation curves before adjusting, and solid line part is the saturation curves after adjusting.For the vicissitudinous pixel of brightness value, calculate this pixel brightness value and change difference, and difference is multiplied by default saturation adjustment coefficient, obtain a saturation regulated value.The pixel reducing for brightness, deducts this saturation regulated value by level value corresponding former saturation, and saturation is reduced; The pixel increasing for brightness, adds this saturation regulated value by level value corresponding former saturation, and saturation is increased.Thus, dynamically the variation tendency of saturation curves and the variation tendency of dynamic contrast curve approach, and have realized saturation with brightness adaptive change.
In the present embodiment, according to the variation of picture brightness, self adaptation is adjusted saturation, makes image quality obtain effective improvement, and the picture of demonstration is more clear.
The invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.Through the above description of the embodiments, those skilled in the art can be well understood to the mode that above-described embodiment method can add essential general hardware platform by software and realize, can certainly pass through hardware, but in a lot of situation, the former is better execution mode.Based on such understanding, the part that technical scheme of the present invention contributes to prior art in essence in other words can embody with the form of software product, this computer software product is stored in a storage medium (as ROM/RAM, magnetic disc, CD), comprise that some instructions (can be mobile phones in order to make a station terminal equipment, computer, server, or the network equipment etc.) carry out the method described in each embodiment of the present invention.
The foregoing is only the preferred embodiments of the present invention; not thereby limit the scope of the claims of the present invention; every equivalent structure or conversion of equivalent flow process that utilizes specification of the present invention and accompanying drawing content to do; or be directly or indirectly used in other relevant technical fields, be all in like manner included in scope of patent protection of the present invention.
Claims (10)
1. dynamic adjustments shows a method for image quality, it is characterized in that, comprises step:
Receiving video signals, carries out color space transformation to described vision signal, obtains luminance signal and carrier chrominance signal;
According to the brightness value of present frame picture in described luminance signal, obtain the intensity level distribution map of present frame picture;
According to the intensity level distribution map of present frame picture, the brightness of dynamic adjustments present frame picture, the dynamic contrast curve of acquisition present frame picture;
According to the dynamic contrast curve of present frame picture, the saturation of present frame picture in carrier chrominance signal described in dynamic adjustments on the basis of described carrier chrominance signal, obtains the dynamic saturation curves of present frame picture.
2. dynamic adjustments as claimed in claim 1 shows the method for image quality, it is characterized in that, described according to the brightness value of present frame picture in luminance signal, and the step that obtains the intensity level distribution map of present frame picture specifically comprises:
Extract the pixel value of each pixel of present frame picture in described luminance signal and corresponding brightness value;
Described brightness value is converted to level value;
Take pixel value as ordinate, level value is abscissa, according to the corresponding relation of pixel value and level value, draws the intensity level distribution map of present frame picture.
3. dynamic adjustments as claimed in claim 1 shows the method for image quality, it is characterized in that, described according to the intensity level distribution map of present frame picture, the step of the brightness of dynamic adjustments present frame picture specifically comprises:
Judge and in the intensity level distribution map of present frame picture, whether have the pixel of level value lower than dark picture cut-off level;
Level value is reduced lower than brightness value corresponding to the pixel of dark picture cut-off level, make level value corresponding to brightness value before level value=k1 × reduction corresponding to brightness value after reducing, wherein k1 is that default brightness reduces slope, 0 < k1 < 1.
4. dynamic adjustments as claimed in claim 1 shows the method for image quality, it is characterized in that, described according to the intensity level distribution map of present frame picture, the step of the brightness of dynamic adjustments present frame picture specifically comprises:
Judge in the intensity level distribution map of present frame picture and whether have the pixel of level value higher than bright picture cut-off level;
Level value is promoted higher than brightness value corresponding to the pixel of bright picture cut-off level, make level value corresponding to brightness value before level value=k2 × lifting corresponding to brightness value after promoting, wherein k2 is default luminance raising slope, k2 > 1.
5. the dynamic adjustments as described in claim 3 or 4 shows the method for image quality, it is characterized in that, described according to the dynamic contrast curve of present frame picture, and in carrier chrominance signal, the step of the saturation of present frame picture specifically comprises described in dynamic adjustments:
Extract the saturation of each pixel of present frame picture in described carrier chrominance signal;
According to the brightness value of each pixel in the present frame picture after adjusting, regulate the saturation of each pixel in present frame picture, make level value+k3 corresponding to saturation before level value=adjustment corresponding to saturation after adjusting × (level value corresponding to brightness value before level value-adjustment corresponding to brightness value after adjustment), wherein k3 is that default saturation is adjusted coefficient, k3 > 0.
6. dynamic adjustments shows a device for image quality, it is characterized in that, comprising:
Vision signal modular converter, for receiving video signals, carries out color space transformation to described vision signal, obtains luminance signal and carrier chrominance signal;
Luminance signal analysis module, for according to the brightness value of described luminance signal present frame picture, obtains the intensity level distribution map of present frame picture;
Contrast adjustment module, for according to the intensity level distribution map of present frame picture, the brightness of dynamic adjustments present frame picture, obtains the dynamic contrast curve of present frame picture;
Saturation adjustment module, for according to the dynamic contrast curve of present frame picture, the saturation of present frame picture in carrier chrominance signal described in dynamic adjustments on the basis of described carrier chrominance signal, obtains the dynamic saturation curves of present frame picture.
7. dynamic adjustments as claimed in claim 6 shows the device of image quality, it is characterized in that, described luminance signal analysis module specifically for:
Extract the pixel value of each pixel of present frame picture in described luminance signal and corresponding brightness value;
Described brightness value is converted to level value;
Take pixel value as ordinate, level value is abscissa, according to the corresponding relation of pixel value and level value, draws the intensity level distribution map of present frame picture.
8. dynamic adjustments as claimed in claim 6 shows the device of image quality, it is characterized in that, described contrast adjustment module specifically for:
Judge and in the intensity level distribution map of present frame picture, whether have the pixel of level value lower than dark picture cut-off level;
Level value is reduced lower than brightness value corresponding to the pixel of dark picture cut-off level, make level value corresponding to brightness value before level value=k1 × reduction corresponding to brightness value after reducing, wherein k1 is that default brightness reduces slope, 0 < k1 < 1.
9. dynamic adjustments as claimed in claim 6 shows the device of image quality, it is characterized in that, described contrast adjustment module specifically also for:
Judge in the intensity level distribution map of present frame picture and whether have the pixel of level value higher than bright picture cut-off level;
Level value is promoted higher than brightness value corresponding to the pixel of bright picture cut-off level, make level value corresponding to brightness value before level value=k2 × lifting corresponding to brightness value after promoting, wherein k2 is default luminance raising slope, k2 > 1.
10. dynamic adjustments shows the device of image quality as claimed in claim 8 or 9, it is characterized in that, described saturation adjustment module specifically for:
Extract the saturation of each pixel of present frame picture in described carrier chrominance signal;
According to the brightness value of each pixel in the present frame picture after adjusting, regulate the saturation of each pixel in present frame picture, make level value+k3 corresponding to saturation before level value=adjustment corresponding to saturation after adjusting × (level value corresponding to brightness value before level value-adjustment corresponding to brightness value after adjustment), wherein k3 is that default saturation is adjusted coefficient, k3 > 0.
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| CN107135362A (en) * | 2017-04-27 | 2017-09-05 | 北京小米移动软件有限公司 | Image quality processing method, device and the Split TV set of Split TV set |
| CN108337495A (en) * | 2018-02-08 | 2018-07-27 | 北京慧摩尔科技有限公司 | A kind of video image dynamic contrast method of adjustment and its adjusting apparatus |
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| CN111739452A (en) * | 2020-06-16 | 2020-10-02 | 深圳市华星光电半导体显示技术有限公司 | Method and device for debugging dark state voltage of liquid crystal display panel and storage medium |
| CN114120932A (en) * | 2021-11-30 | 2022-03-01 | 中航华东光电有限公司 | Liquid crystal display dimming method combined with image saturation adjustment |
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