CN107799080B - A kind of liquid crystal pixel compensation method based on segmented curve - Google Patents
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
- G09G3/34—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source
- G09G3/36—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source using liquid crystals
- G09G3/3607—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source using liquid crystals for displaying colours or for displaying grey scales with a specific pixel layout, e.g. using sub-pixels
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- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2320/00—Control of display operating conditions
- G09G2320/06—Adjustment of display parameters
- G09G2320/0626—Adjustment of display parameters for control of overall brightness
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- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2320/00—Control of display operating conditions
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- G09G2320/066—Adjustment of display parameters for control of contrast
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Abstract
A kind of liquid crystal pixel compensation method based on segmented curve: subregion is carried out to original image, using maximum value process or mean value method or mean square root method, the characteristic value for obtaining pixel in each subregion respectively, using the characteristic value as the backlight brightness values of corresponding subregion；YUV component is converted by the RGB component of original image；The Y-component of conversion is divided into different luminance areas according to division rule, to different luminance areas according to the demand of brightness, brightness adjustment is carried out and obtains Y1 component；Nonlinear compensation is carried out to Y1 component using γ correction and obtains Y2 component；Obtained Y2U1V1 component is converted into R1G1B1 component by following formula, exports image.Utilize method of the invention treated image, by testing a large amount of different images, maximum value process contrast averagely has dropped 25%, and the picture contrast obtained by segmented compensated curve averagely improves 80% compared to original image, and averagely improves 160% compared to maximum value.
Description
Technical field
The present invention relates to a kind of liquid crystal pixel compensation methodes.More particularly to a kind of base applied in the backlight display of region
In the liquid crystal pixel compensation method of segmented curve.
Background technique
Liquid crystal display (LCD) is passive photism display device, is needed by light emitting diode (LED) as backlight
Just it is able to achieve display function.Backlight consumes excessive electric energy under conventional constant luminance patterns, simultaneously because liquid crystal itself
Non-ideal characteristic, which causes light leakage phenomena seriously, reduces the contrast of image.Dynamic light adjustment technology is to be adjusted to carry on the back according to picture material
The luminous intensity of light, and liquid crystal pixel is compensated, can reduce the power consumption of liquid crystal display while promoting the comparison of image
Degree.
Whether region is controllable according to light source in backlight module for the backlight dynamic light adjustment algorithm of existing LED liquid-crystal display,
Global light regulating technology and local dimming technology can be divided into.Global light regulating technology is the content according to input picture, to whole progress
The adjusting of backlight illumination.And local dimming is then the backlight illumination that the region is adjusted according to the picture material of corresponding region.
Existing LED region backlight dimming technology generally refers to the region 2D, it is broadly divided into two parts: backlight illumination
Extraction and liquid crystal pixel compensation.Wherein, the extraction of backlight illumination refers to for backlight module being divided into several rectangular areas, root
The characteristic parameter that can characterize the subregion luminance information is dynamically extracted according to the picture material of each subregion, it is then dynamic using the parameter
State changes the subregion backlight illumination to control the bright dark of the block subregion backlight.Currently, having more LED region back both at home and abroad
Photokinesis dims algorithm, and more traditional region backlight dynamic light adjustment algorithm mainly has maximum value process, mean value method and root mean square
Method.Maximum value process is the brightness maxima of each pixel using in subregion as the backlight brightness values of the subregion；Mean value method is choosing
Take the average brightness value of all pixels in subregion as the backlight brightness values of the subregion；Mean square root method is by all pictures in subregion
Evolution obtains backlight brightness values multiplied by 255 after the average brightness normalization of element.Liquid crystal pixel compensation is then region backlight dynamic
The particularly important step of light regulating technology, it assures that the image after guaranteeing light modulation is after overcompensation when the brightness of backlight reduces
It is consistent substantially when its overall brightness and color are with backlight all light.Liquid crystal pixel compensation be exactly to show image pixel value into
Some necessary transformation go to obtain the process of expected display effect.Liquid crystal pixel backoff algorithm universal at present is broadly divided into
Linear compensation method and non-linear compensation method.Linear compensation method think liquid crystal display display brightness be backlight portion and
The product of the brightness of liquid crystal display part, it may be assumed that
BLfull× LC=BL ' × LC '
Wherein: BLfullBacklight illumination when expression backlight all light, generally 255；LC indicates that the liquid crystal pixel before light modulation is bright
Angle value；Backlight brightness values after BL ' expression light modulation；Liquid crystal pixel brightness value after LC ' expression light modulation.
To which the pixel compensation formula of linear compensation method can be obtained are as follows:
Non-linear compensation method relatively conventional at present is γ correction, dims the brightness that front and back human eye is experienced for guarantee
Value is consistent substantially, and compensation principle is as follows:
Wherein: BL and BL ' respectively indicates the backlight brightness values of light modulation front and back；LC and LC ' respectively indicates the liquid of light modulation front and back
The brightness of brilliant pixel；BLfullIt generally takes and does 255；γ is gamma correction coefficient, generally takes and does 2.2.
To obtain the pixel compensation formula of γ correction:
Although Non-Linear Compensating type is increasingly complex compared with linear compensation way, in very good solution linear compensation way
What is generated cuts width phenomenon, while power consumption is effectively reduced, significantly improves display quality.
Summary of the invention
The technical problem to be solved by the invention is to provide one kind can enhance picture contrast based on segmented curve
Liquid crystal pixel compensation method.
The technical scheme adopted by the invention is that: a kind of liquid crystal pixel compensation method based on segmented curve, including such as
Lower step:
1) subregion is carried out to original image, using maximum value process or mean value method or mean square root method, obtains each point respectively
The characteristic value of pixel in area, using the characteristic value as the backlight brightness values of corresponding subregion；
2) YUV component is converted by the RGB component of original image, conversion formula is as follows:
3) Y-component of conversion is divided into different luminance areas according to division rule, to different luminance areas according to
The demand of brightness carries out brightness adjustment and obtains Y1 component；
4) it is corrected using γ and Y2 component is obtained to Y1 component progress nonlinear compensation,
In formula, BLfullIt indicates brightness value when light source all light, takes and do 255, BLsmoothedIndicate obtained backlight brightness values
The brightness value obtained after backlight is smoothly spread；
After γ corrects to obtain Y2 component, obtain proportionality coefficient k compared to Y-component, then using following formula respectively to U component and
V component is increased on year-on-year basis, obtains U1 and V1,
K=Y2/Y
U1=k × (U-128)+128
V1=k × (V-128)+128；
5) obtained Y2U1V1 component is converted into R1G1B1 component by following formula, exports image,
In step 1) when using maximum value process obtain the characteristic value of pixel in each subregion when, the characteristic value be by
Backlight brightness values of the maximum value of brightness as the subregion in all pixels point in subregion；Each divide when being obtained using mean value method
In area when the characteristic value of pixel, the characteristic value be using in subregion in all pixels point the average value of brightness as the subregion
Backlight brightness values；When obtaining the characteristic value of pixel in each subregion using mean square root method, the characteristic value is will to divide
Backlight brightness values of the evolution multiplied by 255 result as the subregion after the average brightness normalization of all pixels point in area.
Division rule described in step 3) is to define brightness value in image to be lower than the 30% of maximum brightness 255 for low-light level
Area, defining brightness value in image to be higher than the 70% of maximum brightness 255 is high luminance area；Or definition is lower than all brightness values in image
30% point at brightness value be low clear zone, define in image 30% brightness value of all brightness values and 70% place it is bright
Angle value is middle clear zone, and it is highlight bar that definition, which is higher than the brightness value in image at 70% point of all brightness values,.
Brightness adjustment described in step 3) is to be adjusted ready-portioned different brightness regions using unused curve, is adopted
Brightness adjustment is carried out with S curve or logarithmic curve or straight line, forms segmentation in such a way that curve adjusted is according to different demands
Formula compensated curve is applied before γ correction, to guarantee that lamination will not be generated when being converted between different brightness regions,
Need to guarantee when the different curve switchings between critical luminance the continuity of brightness, smooth transition.
The equation of the S curve is as follows:
In formula: Y indicates input brightness value；Y1 indicates output brightness value；The curvature parameters of a expression S curve；YpointIndicate S
The abscissa of knee of curve；
The equation of the logarithmic curve is as follows:
Y1=Y × log10(1+aY)
In formula: Y indicates input brightness value；Y1 indicates output brightness value；The curvature parameters of a expression logarithmic curve；
The equation of the straight line is as follows:
Y1=Y
In formula: Y indicates input brightness value；Y1 indicates output brightness value.
Backlight described in step 4) smoothly spreads the diffusion for referring to that simulation backlight is luminous, and the analog spread is to use
Convolution method and BMA method.
A kind of liquid crystal pixel compensation method based on segmented curve of the invention, contrast are correspondingly improved,
More meet the visual experience of human eye.Using method of the invention treated image, by being surveyed to a large amount of different images
Examination, maximum value process contrast averagely have dropped 25%, and the picture contrast obtained by segmented compensated curve is compared to original image
80% is averagely improved, and averagely improves 160% compared to maximum value.
Detailed description of the invention
Fig. 1 a is original test image；
Fig. 1 b is to original test image by maximum value process treated image；
Fig. 1 c is to original test image by the method for the present invention treated image；
Fig. 2 a is original test image；
Fig. 2 b is to original test image by maximum value process treated image；
Fig. 2 c is to original test image by the method for the present invention treated image；
Fig. 3 is experimental result comparison line chart；
Fig. 4 is segmented compensated curve figure.
Specific embodiment
A kind of liquid crystal pixel compensation method based on segmented curve of the invention is done below with reference to embodiment and attached drawing
It is described in detail out.
A kind of liquid crystal pixel compensation method based on segmented curve of the invention, includes the following steps:
1) subregion is carried out to original image, using maximum value process or mean value method or mean square root method, obtains each point respectively
The characteristic value of pixel in area, using the characteristic value as the backlight brightness values of corresponding subregion；
Wherein, when obtaining the characteristic value of pixel in each subregion using maximum value process, the characteristic value is will to divide
Backlight brightness values of the maximum value of brightness as the subregion in all pixels point in area；When using each subregion of mean value method acquisition
When the characteristic value of middle pixel, the characteristic value be using in subregion in all pixels point the average value of brightness as the subregion
Backlight brightness values；When obtaining the characteristic value of pixel in each subregion using mean square root method, the characteristic value is by subregion
In all pixels point average brightness normalization after backlight brightness values of the evolution multiplied by 255 result as the subregion.This
In using maximum value process extract backlight brightness values.
2) YUV component is converted by the RGB component of original image, conversion formula is as follows:
3) Y-component of conversion is divided into different luminance areas according to division rule, to different luminance areas according to
The demand of brightness carries out brightness adjustment and obtains Y1 component；
Wherein, division rule is to define brightness value in image to be lower than the 30% of maximum brightness 255 for low-light level area, and definition is schemed
It is high luminance area that brightness value, which is higher than the 70% of maximum brightness 255, as in；Or definition is lower than 30% point of all brightness values in image
The brightness value at place is low clear zone, defines in image 30% brightness value of all brightness values and 70% brightness value at place is
Clear zone, it is highlight bar etc. that definition, which is higher than the brightness value in image at 70% point of all brightness values, and division rule can be according to
Other rules are any to be divided, artificial here that image is divided into 3 different brightness regions according to original brightness, i.e., will be to highest
Brightness value 255 carries out trisection, and pixel of the brightness value lower than 64 is divided in the region of low-light level, and brightness value is higher than 192 picture
Vegetarian refreshments is divided in the region of high brightness, remaining within which pixel is divided in the region of middle brightness, specific dividing condition
It is as follows:
Wherein, the brightness adjustment is to be adjusted ready-portioned different brightness regions using unused curve, using S
Curve or logarithmic curve or straight line carry out brightness adjustment.
The equation of the S curve is as follows:
In formula: Y indicates input brightness value；Y1 indicates output brightness value；The curvature parameters of a expression S curve；YpointIndicate S
The abscissa of knee of curve；
The equation of the logarithmic curve is as follows:
Y1=Y × log10(1+aY)
In formula: Y indicates input brightness value；Y1 indicates output brightness value；The curvature parameters of a expression logarithmic curve；
The equation of the straight line is as follows:
Y1=Y
In formula: Y indicates input brightness value；Y1 indicates output brightness value.
Segmented compensated curve is formed in such a way that curve adjusted is according to different demands to apply before γ correction, is
Guarantee that lamination will not be generated when being converted between different brightness regions, needs between critical luminance, the different songs in left and right
Guarantee the continuity of brightness, smooth transition when line switches；Here, compensated curve is as shown in Figure 4, in which: Y expression is converted by RGB
And the Y-component come, Y1 indicate the offset mapped by segmented compensated curve.Here Y is used as by 64 and 192pointValue,
Different a values is selected, two S curves are obtained.Low clear zone intercepts the lower half portion of a S curve, and highlight bar intercepts another S song
The top half of line, middle clear zone part then use straight line directly to map, can greatly reduce computation complexity
4) it is corrected using γ and Y2 component is obtained to Y1 component progress nonlinear compensation,
In formula, BLfullIt indicates brightness value when light source all light, takes and do 255, BLsmoothedIt indicates to carry on the back obtained in step 1)
The brightness value that light value obtains after backlight is smoothly spread；
Wherein, backlight smoothly spreads the diffusion for referring to that simulation backlight is luminous, back light reach display brightness and
Uniformity is usually closely bound up with the structure of backlight module and its performance, to be accurately obtained each subregion backlight by backlight module
Become the brightness value of whole image size after diffusion；The simulation is using the propositions such as convolution method and Lin-Yao Liao
Blur Mask Approach (BMA) method.After obtaining the backlight brightness values of each subregion using maximum value process, directly display
Image, it is found that the intersection between different masses will appear apparent " blocking artifact ", this is because the region control of backlight is led
It is no longer unified to cause backlight illumination, and does not account for the light mixing between block and block, so also wanted between liquid crystal compensation
Simulation light mixing is carried out, that is, backlight is smoothed.
Here the smooth thought using fuzzy-diffusion method (BMA) of backlight is obtained to simulate the diffusion model of subregion backlight
To BLsmoothed, with elimination " blocking artifact " phenomenon.
If backlight subarea size is L × K=36*66, the algorithm determined through above-mentioned backlight obtains the backlight value of each subregion, obtains
To initial matrix BLblock-set, following formula,
Since light mixing diffusion needs to consider the size of surrounding backlight brightness values, so after obtaining initial backlight matrix, opposite side
Boundary's backlight brightness values do mirror image processing, the backlight matrix B L after obtaining mirror imageblock-ext, following formula,
Mirror image obtains BLblock-extLight mixing is carried out to the element for not including boundary up and down afterwards, obtains light mixing matrix B Lh,
Following formula,
BLh(i, j)=BLblock-set(i,j)×a+[BLblock-set(i-1,j)+BLblock-set(i+1,j)]×b
+[BLblock-set(i,j-1)+BLblock-set(i,j+1)]×c
+[BLblock-set(i-1,j-1)+BLblock-set(i-1,j+1)+BLblock-set(i+1,j-1)
+BLblock-set(i+1,j+1)]×d
Wherein: a, b, c, d are the light mixing factor, a=0.38, b=0.11, c=0.08, d=0.06.
Then by BLhThe step of expanding 2 times, repeating boundary mirror image and light mixing diffusion, until smooth effect occurs in subregion backlight
Fruit without apparent boundary phenomenon, then is extended to the Pixel Dimensions 1080 × 1920 of original image.Utilize above method light mixing 4
It is secondary, substantially without apparent boundary phenomenon.
After γ corrects to obtain Y2 component, obtain proportionality coefficient k compared to Y-component, then using following formula respectively to U component and
V component is increased on year-on-year basis, obtains U1 component and V1 component,
K=Y2/Y
U1=k × (U-128)+128
V1=k × (V-128)+128；
5) obtained Y2U1V1 component is converted into R1G1B1 component by following formula, exports image,
From Fig. 1 a, Fig. 1 b, Fig. 1 c as can be seen that for low-light level area, the brightness change of part luma, maximum value are irised out
Method is promoted compared to brightness for original image, and has apparent reduction after handling using this patent method.
From Fig. 2 a, Fig. 2 b, Fig. 2 c as can be seen that for high luminance area, the brightness change of part luma, maximum value are irised out
Method decreases compared to brightness for original image, and is significantly improved after being handled using this patent method.
The calculation method for defining contrast measures the index of picture quality as the present invention.
CR=H90/L10
Wherein: the contrast of CR expression image；H90Indicate the brightness value comprising all pixels including entire image most
The brightness value of pixel at the 90% of high brightness；L10Indicate the brightness value comprising all pixels including entire image in highest
The brightness value of pixel at the 10% of brightness.
Here 30 width images are handled, compares broken line result figure such as Fig. 3, midpoint broken line indicates original image
Contrast, thin broken line indicate that, using the contrast after maximum value process, thick broken line indicates the contrast after application method of the invention.
It can be seen that being generally above original image and maximum value using the contrast of image after method processing of the invention
Method, and maximum value process focuses on less power consumption and seriously reduces contrast, and method of the invention is significantly larger than maximum value process.
And for the image for itself there is higher contrast, it after algorithm process, is declined slightly, but be above maximum value process.
Claims (6)
1. a kind of liquid crystal pixel compensation method based on segmented curve, which comprises the steps of:
1) subregion is carried out to original image to obtain respectively in each subregion using maximum value process or mean value method or mean square root method
The characteristic value of pixel, using the characteristic value as the backlight brightness values of corresponding subregion；
2) YUV component is converted by the RGB component of original image, conversion formula is as follows:
3) Y-component of conversion is divided into different luminance areas according to division rule, to different luminance areas according to brightness
Demand, carry out brightness adjustment obtain Y1 component；
4) it is corrected using γ and Y2 component is obtained to Y1 component progress nonlinear compensation,
In formula, BLfullIt indicates brightness value when light source all light, takes and do 255, BLsmoothedIndicate that obtained backlight brightness values are passed through
The brightness value that backlight obtains after smoothly spreading；
After γ corrects to obtain Y2 component, proportionality coefficient k is obtained compared to Y-component, then using following formula respectively to U component and V points
Amount is increased on year-on-year basis, obtains U1 and V1,
K=Y2/Y
U1=k × (U-128)+128
V1=k × (V-128)+128；
5) obtained Y2U1V1 component is converted into R1G1B1 component by following formula, exports image,
2. a kind of liquid crystal pixel compensation method based on segmented curve according to claim 1, which is characterized in that step
1) in when obtaining the characteristic value of pixel in each subregion using maximum value process, the characteristic value is by all pixels in subregion
Backlight brightness values of the brightness maxima as the subregion in point；When the feature for obtaining pixel in each subregion using mean value method
When value, the characteristic value be using in subregion in all pixels point the average value of brightness as the backlight brightness values of the subregion；When adopting
When obtaining the characteristic value of pixel in each subregion with mean square root method, the characteristic value is by the bright of all pixels point in subregion
Spend backlight brightness values of the evolution multiplied by 255 result as the subregion after average value normalizes.
3. a kind of liquid crystal pixel compensation method based on segmented curve according to claim 1, which is characterized in that step
3) division rule described in is to define brightness value in image to be lower than the 30% of maximum brightness 255 for low-light level area, is defined in image
It is high luminance area that brightness value, which is higher than the 70% of maximum brightness 255,；Or at 30% point of the definition lower than all brightness values in image
Brightness value be low clear zone, define in image 30% brightness value of all brightness values and 70% place brightness value be in it is bright
Area, it is highlight bar that definition, which is higher than the brightness value in image at 70% point of all brightness values,.
4. a kind of liquid crystal pixel compensation method based on segmented curve according to claim 1, which is characterized in that step
3) brightness adjustment described in is to be adjusted ready-portioned different brightness regions using unused curve, using S curve or right
Number curve or straight line carry out brightness adjustment, form segmented compensated curve in such a way that curve adjusted is according to different demands and answer
Before γ correction.
5. a kind of liquid crystal pixel compensation method based on segmented curve according to claim 4, which is characterized in that described
S curve equation it is as follows:
In formula: Y indicates input brightness value；Y1 indicates output brightness value；The curvature parameters of a expression S curve；YpointIndicate S curve
The abscissa of inflection point；
The equation of the logarithmic curve is as follows:
Y1=Y × log10(1+aY)
In formula: Y indicates input brightness value；Y1 indicates output brightness value；The curvature parameters of a expression logarithmic curve；
The equation of the straight line is as follows:
Y1=Y
In formula: Y indicates input brightness value；Y1 indicates output brightness value.
6. a kind of liquid crystal pixel compensation method based on segmented curve according to claim 1, which is characterized in that step
4) backlight described in smoothly spreads the diffusion for referring to that simulation backlight is luminous, the analog spread be using convolution method and
BMA method.
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| CN108648700B (en) * | 2018-05-18 | 2020-02-18 | 京东方科技集团股份有限公司 | Dynamic dimming display control method and device for backlight source |
| CN114842807B (en) * | 2021-02-01 | 2023-11-17 | 广州视睿电子科技有限公司 | Brightness adjustment method, system, device and storage medium |
| CN113744684B (en) * | 2021-08-23 | 2022-12-09 | 集创北方(珠海)科技有限公司 | Display control method, display control device and display device |
| CN117157702A (en) * | 2022-03-31 | 2023-12-01 | 京东方科技集团股份有限公司 | Display control method and device, display equipment, electronic equipment and medium |
| CN116013209B (en) * | 2022-12-28 | 2023-08-15 | 北京显芯科技有限公司 | Backlight area adjusting method and device, electronic equipment and storage medium |
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| CN104112433A (en) * | 2013-04-22 | 2014-10-22 | 华为技术有限公司 | Image compensation method and device |
| CN107274854A (en) * | 2017-06-20 | 2017-10-20 | 友达光电股份有限公司 | Display device and gamma curve compensation circuit and driving method thereof |
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