CN107799080A - A kind of liquid crystal pixel compensation method based on segmented curve - Google Patents
A kind of liquid crystal pixel compensation method based on segmented curve Download PDFInfo
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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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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- 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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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- 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
- G09G2320/066—Adjustment of display parameters for control of contrast
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, obtains the characteristic value of pixel in each subregion respectively, the backlight brightness values using described characteristic value as correspondence subregion；The RGB component of original image is converted into YUV components；The Y-component of conversion is divided into different luminance areas according to division rule, the demand to different luminance areas according to brightness, brightness adjustment is carried out and obtains Y1 components；Nonlinear compensation is carried out to Y1 components using γ corrections and obtains Y2 components；Resulting Y2U1V1 components are converted into R1G1B1 components, output image by equation below.Utilize the image after the method processing of the present invention, by testing a large amount of different images, maximum value process contrast averagely have dropped 25%, and 80% is averagely improved compared to artwork by the picture contrast that segmented compensated curve obtains, and averagely improve 160% compared to maximum.
Description
Technical field
The present invention relates to a kind of liquid crystal pixel compensation method.More particularly to a kind of base being applied to during region backlight is shown
In the liquid crystal pixel compensation method of segmented curve.
Background technology
Liquid crystal display (LCD) is passive photism display device, it is necessary to be used as backlight by light emitting diode (LED)
Display function could be realized.Backlight consumes excessive electric energy under conventional constant luminance patterns, simultaneously because liquid crystal is in itself
Non-ideal characteristic causes light leakage phenomena seriously to reduce 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, the power consumption of liquid crystal display can be reduced while lift the contrast 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 overall progress
The regulation of backlight illumination.And local dimming is then the backlight illumination that the region is adjusted according to the picture material of respective regions.
Existing LED region backlight dimming technology generally refers to 2D regions, and it is broadly divided into two parts：Backlight illumination
Extraction and liquid crystal pixel compensation.Wherein, the extraction of backlight illumination refers to backlight module being divided into several rectangular areas, root
The characteristic parameter of the subregion monochrome information can be characterized by dynamically being extracted according to the picture material of each subregion, then be moved using the parameter
State changes the subregion backlight illumination to control the bright dark of the block subregion backlight.At present, existing more LED region is carried on the 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 that the brightness maxima of each pixel using in subregion is used as the backlight brightness values of the subregion；Mean value method is choosing
The average brightness value of all pixels in subregion is taken as the backlight brightness values of the subregion；Mean square root method is by all pictures in subregion
Evolution is multiplied by 255 after the average brightness normalization of element, obtains backlight brightness values.Liquid crystal pixel compensation is then region backlight dynamic
The particularly important step of light regulating technology, it assures that in the luminance-reduction of backlight, ensure the image after light modulation after overcompensation
Its overall brightness and color with being consistent substantially during backlight all light.Liquid crystal pixel compensation is exactly that the pixel value of display image is entered
Some necessary changes of row bring 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 the display brightness of liquid crystal display be backlight portion and
The product of the brightness of LCDs part, i.e.,：
BLfull× LC=BL ' × LC '
Wherein：BLfullBacklight illumination during expression backlight all light, generally 255；LC represents that the liquid crystal pixel before light modulation is bright
Angle value；Backlight brightness values after BL ' expressions light modulation；Liquid crystal pixel brightness value after LC ' expressions light modulation.
It is so as to can obtain the pixel compensation formula of linear compensation method：
Non-linear compensation method relatively conventional at present corrects for γ, the brightness that human eye is experienced before and after being dimmed for guarantee
Value is consistent substantially, and its compensation principle is as follows：
Wherein：BL and BL ' represents the front and rear backlight brightness values of light modulation respectively；LC and LC ' represents the front and rear liquid of light modulation respectively
The brightness of brilliant pixel；BLfullGeneral take does 255；γ is gamma correction coefficient, typically takes and does 2.2.
So as to obtain the pixel compensation formula of γ corrections：
Although Non-Linear Compensating type is increasingly complex compared with linear compensation way, solve well in linear compensation way
It is caused to cut width phenomenon, while power consumption is effectively reduced, significantly improve display quality.
The content of the invention
The technical problem to be solved by the invention is to provide it is a kind of can strengthen picture contrast based on segmented curve
Liquid crystal pixel compensation method.
The technical solution adopted in the present invention is：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, the backlight brightness values using described characteristic value as corresponding subregion；
2) RGB component of original image is converted into YUV components, 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, carry out brightness adjustment and obtain Y1 components；
4) corrected using γ and Y2 components obtained to Y1 components progress nonlinear compensation,
In formula, BLfullBrightness value during light source all light is represented, takes and does 255, BLsmoothedRepresent obtained backlight brightness values
The brightness value obtained after backlight smoothly spreads；
After γ corrects to obtain Y2 components, proportionality coefficient k is obtained compared to Y-component, then using following formula respectively to U components 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) resulting Y2U1V1 components are converted into R1G1B1 components by equation below, output image,
In step 1) when obtaining the characteristic value of pixel in each subregion using maximum value process, described 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 during the characteristic value of pixel, described characteristic value is the average value using brightness in all pixels point in subregion as the subregion
Backlight brightness values；When obtaining the characteristic value of pixel in each subregion using mean square root method, described characteristic value is to divide
Evolution is multiplied by the backlight brightness values of 255 result as the subregion after the average brightness normalization of all pixels point in area.
Division rule described in step 3) is that to define 30% of brightness value in image less than maximum brightness 255 be low-light level
Area, it is high luminance area to define 70% of brightness value higher than maximum brightness 255 in image；Or definition is less than all brightness values in image
30% point at brightness value be low clear zone, define all brightness values in image 30% brightness value 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 at 70% point of all brightness values in image,.
Brightness adjustment described in step 3) is to be adjusted ready-portioned different brightness regions using no curve, is adopted
Brightness adjustment is carried out with S curve or logarithmic curve or straight line, segmentation is formed according to different demands mode using the curve after adjustment
Formula compensated curve is applied before γ corrections, will not produce lamination during to ensure to enter line translation between different brightness regions,
The continuity of guarantee brightness when different curves switch between critical luminance is needed, is seamlessly transitted.
The equation of described S curve is as follows：
In formula：Y represents input brightness value；Y1 represents output brightness value；A represents the curvature parameters of S curve；YpointRepresent S
The abscissa of knee of curve；
The equation of described logarithmic curve is as follows：
Y1=Y × log10(1+aY)
In formula：Y represents input brightness value；Y1 represents output brightness value；A represents the curvature parameters of logarithmic curve；
The equation of described straight line is as follows：
Y1=Y
In formula：Y represents input brightness value；Y1 represents output brightness value.
Smoothly diffusion refers to simulate the luminous diffusion of backlight backlight described in step 4), and the analog spread is to use
Convolution method and BMA methods.
A kind of liquid crystal pixel compensation method based on segmented curve of the present invention, contrast are correspondingly improved,
More meet the visual experience of human eye.Using the image after the method processing of the present invention, 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 artwork
80% is averagely improved, and 160% is averagely improved compared to maximum.
Brief description of the drawings
Fig. 1 a are original test images；
Fig. 1 b are the image after maximum value process is handled to original test image；
Fig. 1 c are the image after the inventive method is handled to original test image；
Fig. 2 a are original test images；
Fig. 2 b are the image after maximum value process is handled to original test image；
Fig. 2 c are the image after the inventive method is handled to original test image；
Fig. 3 is experimental result contrast line chart；
Fig. 4 is segmented compensated curve figure.
Embodiment
Done with reference to a kind of liquid crystal pixel compensation method based on segmented curve of embodiment and accompanying drawing to the present invention
Go out to describe in detail.
A kind of liquid crystal pixel compensation method based on segmented curve of the present invention, comprises 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, the backlight brightness values using described characteristic value as corresponding subregion；
Wherein, when obtaining the characteristic value of pixel in each subregion using maximum value process, described characteristic value is 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
During the characteristic value of middle pixel, described characteristic value is the average value using brightness in all pixels point in subregion as the subregion
Backlight brightness values；When obtaining the characteristic value of pixel in each subregion using mean square root method, described characteristic value is by subregion
In all pixels point average brightness normalization after evolution be multiplied by the backlight brightness values of 255 result as the subregion.This
In using maximum value process extraction backlight brightness values.
2) RGB component of original image is converted into YUV components, 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, carry out brightness adjustment and obtain Y1 components；
Wherein, division rule is that to define 30% of brightness value in image less than maximum brightness 255 be low-light level area, and definition is schemed
70% of brightness value higher than maximum brightness 255 is high luminance area as in；Or definition is less than 30% point of all brightness values in image
The brightness value at place is low clear zone, defines 30% brightness value of all brightness values in image and during the brightness value at 70% place is
Clear zone, definition are higher than brightness value in image at 70% point of all brightness values for highlight bar etc., and division rule can be according to
Any division of other rules, it is artificial here that image is divided into 3 different brightness regions according to original brightness, will be to highest
Brightness value 255 carries out trisection, and pixel of the brightness value less 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, and remaining pixel of within which is divided in the region of middle brightness, specific dividing condition
It is as follows：
Wherein, described brightness adjustment is to be adjusted ready-portioned different brightness regions using no curve, using S
Curve or logarithmic curve or straight line carry out brightness adjustment.
The equation of described S curve is as follows：
In formula：Y represents input brightness value；Y1 represents output brightness value；A represents the curvature parameters of S curve；YpointRepresent S
The abscissa of knee of curve；
The equation of described logarithmic curve is as follows：
Y1=Y × log10(1+aY)
In formula：Y represents input brightness value；Y1 represents output brightness value；A represents the curvature parameters of logarithmic curve；
The equation of described straight line is as follows：
Y1=Y
In formula：Y represents input brightness value；Y1 represents output brightness value.
Segmented compensated curve is formed according to different demands mode to apply before γ corrections, be using the curve after adjustment
Lamination will not be produced when ensureing to enter line translation between different brightness regions, it is necessary between critical luminance, and left and right is different bent
Ensure the continuity of brightness when line switches, seamlessly transit；Here, compensated curve is as shown in figure 4, wherein：Y represents to be converted by RGB
And the Y-component come, Y1 represent to pass through the offset that segmented compensated curve maps to obtain.Here using 64 and 192 as YpointValue,
From different a values, two S curves are obtained.Low clear zone intercepts the latter half of a S curve, and highlight bar intercepts another S song
The top half of line, middle clear zone part are then directly mapped using straight line, can greatly reduce computation complexity
4) corrected using γ and Y2 components obtained to Y1 components progress nonlinear compensation,
In formula, BLfullBrightness value during light source all light is represented, takes and does 255, BLsmoothedRepresent the back of the body obtained in step 1)
The brightness value that light value obtains after backlight smoothly spreads；
Wherein, smoothly diffusion refers to simulate the luminous diffusion of backlight to backlight, back light reach display brightness and
Uniformity is generally closely bound up with the structure and its performance of backlight module, to be accurately obtained each subregion backlight and pass through backlight module
It is changed into the brightness value of whole image size after diffusion；The simulation is to use the proposition such as convolution method and Lin-Yao Liao
Blur Mask Approach (BMA) method.After the backlight brightness values of each subregion are obtained using maximum value process, directly display
Image, it is found that obvious " blocking effect " occurs in the intersection between different masses, because the Region control of backlight is led
Cause backlight illumination no longer unified, and do not account for the mixed light between block and block, so between liquid crystal compensation is carried out, also
Simulation mixed light 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, to eliminate " blocking effect " 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, equation below,
Because mixed light 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, obtain the backlight matrix B L after mirror imageblock-ext, equation below,
Mirror image obtains BLblock-extMixed light is carried out to the element not comprising border up and down afterwards, obtains mixed light matrix B Lh,
Equation below,
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 mixed light factor, a=0.38, b=0.11, c=0.08, d=0.06.
Then by BLhThe step of 2 times of expansion, repetition border mirror image and mixed light spread, until smoothly imitating occurs in subregion backlight
Fruit, without obvious boundary phenomenon, then it is extended to the Pixel Dimensions 1080 × 1920 of original image.Utilize above method mixed light 4
It is secondary, substantially without obvious boundary phenomenon.
After γ corrects to obtain Y2 components, proportionality coefficient k is obtained compared to Y-component, then using following formula respectively to U components and
V component is increased on year-on-year basis, obtains U1 components and V1 components,
K=Y2/Y
U1=k × (U-128)+128
V1=k × (V-128)+128；
5) resulting Y2U1V1 components are converted into R1G1B1 components by equation below, output image,
From Fig. 1 a, Fig. 1 b, Fig. 1 c as can be seen that for low-light level area, the brightness for irising out part luma changes, maximum
Method has been lifted compared to brightness for artwork, and has obvious reduction after being handled 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 for irising out part luma changes, maximum
Method decreases compared to brightness for artwork, and is significantly improved after being handled using this patent method.
The computational methods of contrast are defined, the index of picture quality is weighed as the present invention.
CR=H90/L10
Wherein：CR represents the contrast of image；H90Represent the brightness value comprising all pixels including entire image most
The brightness value of pixel at the 90% of high brightness；L10Represent 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, contrasts broken line result figure such as Fig. 3, its midpoint broken line represents original image
Contrast, thin broken line represent to represent the contrast after the method for the application present invention using the contrast after maximum value process, thick broken line.
It can be seen that the contrast of image is generally above original image and maximum after the method processing of the application present invention
Method, and maximum value process focuses on less power consumption and seriously reduces contrast, and the method for the present invention is significantly larger than maximum value process.
And for itself has the image of higher contrast, after algorithm process, it is declined slightly, but be above maximum value process.
Claims (6)
1. a kind of liquid crystal pixel compensation method based on segmented curve, it is characterised in that comprise the following steps：
1) subregion is carried out to original image, using maximum value process or mean value method or mean square root method, obtained respectively in each subregion
The characteristic value of pixel, the backlight brightness values using described characteristic value as corresponding subregion；
2) RGB component of original image is converted into YUV components, conversion formula is as follows：
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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 components；
4) corrected using γ and Y2 components obtained to Y1 components progress nonlinear compensation,
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In formula, BLfullBrightness value during light source all light is represented, takes and does 255, BLsmoothedThe backlight brightness values for representing to obtain are passed through
The brightness value that backlight obtains after smoothly spreading；
After γ corrects to obtain Y2 components, proportionality coefficient k is obtained compared to Y-component, then using following formula respectively to U components 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) resulting Y2U1V1 components are converted into R1G1B1 components by equation below, output image,
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A kind of 2. liquid crystal pixel compensation method based on segmented curve according to claim 1, it is characterised in that step
1) in when obtaining the characteristic value of pixel in each subregion using maximum value process, described characteristic value is by all pictures in subregion
Backlight brightness values of the maximum value of brightness as the subregion in vegetarian refreshments；The pixel in using each subregion of mean value method acquisition
During characteristic value, described characteristic value is the backlight illumination using the average value of brightness in all pixels point in subregion as the subregion
Value；When obtaining the characteristic value of pixel in each subregion using mean square root method, described characteristic value is will be all in subregion
Evolution is multiplied by the backlight brightness values of 255 result as the subregion after the average brightness normalization of pixel.
A kind of 3. liquid crystal pixel compensation method based on segmented curve according to claim 1, it is characterised in that step
3) division rule described in is that to define 30% of brightness value in image less than maximum brightness 255 be low-light level area, definition image
70% of middle brightness value higher than maximum brightness 255 is high luminance area；Or definition is less than in image at 30% point of all brightness values
Brightness value be low clear zone, define 30% brightness value of all brightness values in image and the brightness value at 70% place be in it is bright
Area, it is highlight bar that definition, which is higher than the brightness value at 70% point of all brightness values in image,.
A kind of 4. liquid crystal pixel compensation method based on segmented curve according to claim 1, it is characterised in that step
3) brightness adjustment described in is to be adjusted ready-portioned different brightness regions using no curve, using S curve or right
Number curve or straight line carry out brightness adjustment, and forming segmented compensated curve according to different demands mode using the curve after adjustment should
Before γ corrections, lamination will not be produced, it is necessary to critical bright during to ensure to enter line translation between different brightness regions
Ensure the continuity of brightness between degree during different curve switchings, seamlessly transit.
5. a kind of liquid crystal pixel compensation method based on segmented curve according to claim 4, it is characterised in that described
S curve equation it is as follows：
<mrow>
<mi>Y</mi>
<mn>1</mn>
<mo>=</mo>
<mfrac>
<mn>255</mn>
<mrow>
<mn>1</mn>
<mo>+</mo>
<msup>
<mi>e</mi>
<mrow>
<mi>a</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>Y</mi>
<mrow>
<mi>p</mi>
<mi>o</mi>
<mi>int</mi>
</mrow>
</msub>
<mo>-</mo>
<mi>Y</mi>
<mo>)</mo>
</mrow>
</mrow>
</msup>
</mrow>
</mfrac>
</mrow>
In formula：Y represents input brightness value；Y1 represents output brightness value；A represents the curvature parameters of S curve；YpointRepresent S curve
The abscissa of flex point；
The equation of described logarithmic curve is as follows：
Y1=Y × log10(1+aY)
In formula：Y represents input brightness value；Y1 represents output brightness value；A represents the curvature parameters of logarithmic curve；
The equation of described straight line is as follows：
Y1=Y
In formula：Y represents input brightness value；Y1 represents output brightness value.
A kind of 6. liquid crystal pixel compensation method based on segmented curve according to claim 1, it is characterised in that step
4) smoothly diffusion refers to simulate the luminous diffusion of backlight for backlight described in, the analog spread be using convolution method and
BMA methods.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108563414A (en) * | 2018-03-20 | 2018-09-21 | 广东乐芯智能科技有限公司 | A kind of watch displays luminance regulating method |
| CN108648700A (en) * | 2018-05-18 | 2018-10-12 | 京东方科技集团股份有限公司 | A kind of the dynamic light adjustment display control method and device of backlight |
| CN110444151A (en) * | 2018-05-02 | 2019-11-12 | 京东方科技集团股份有限公司 | Gray level compensation method and device, display device, computer storage medium |
| CN113744684A (en) * | 2021-08-23 | 2021-12-03 | 集创北方(珠海)科技有限公司 | Display control method, display control device and display device |
| CN114842807A (en) * | 2021-02-01 | 2022-08-02 | 广州视睿电子科技有限公司 | Brightness adjusting method, system, device and storage medium |
| CN116013209A (en) * | 2022-12-28 | 2023-04-25 | 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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| WO2023184340A1 (en) * | 2022-03-31 | 2023-10-05 | 京东方科技集团股份有限公司 | Display control method and apparatus, display device, electronic device and medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1107233A (en) * | 1992-10-20 | 1995-08-23 | 潘诺科普显示系统公司 | Display device and its drive method |
| CN102243855A (en) * | 2011-08-25 | 2011-11-16 | 合肥工业大学 | Integrated backlight dimming method and device for enhancing liquid crystal display contrast ratio |
| CN103024320A (en) * | 2012-12-14 | 2013-04-03 | 四川长虹电器股份有限公司 | Method and device for compensating image brightness automatically under liquid crystal television dynamic backlight |
| 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 |
-
2017
- 2017-11-03 CN CN201711077506.2A patent/CN107799080B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1107233A (en) * | 1992-10-20 | 1995-08-23 | 潘诺科普显示系统公司 | Display device and its drive method |
| CN102243855A (en) * | 2011-08-25 | 2011-11-16 | 合肥工业大学 | Integrated backlight dimming method and device for enhancing liquid crystal display contrast ratio |
| CN103024320A (en) * | 2012-12-14 | 2013-04-03 | 四川长虹电器股份有限公司 | Method and device for compensating image brightness automatically under liquid crystal television dynamic backlight |
| 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 |
Non-Patent Citations (1)
| Title |
|---|
| 宫睿,徐海松，张显斗，M.RONNIER LUO: "《光学学报》", 30 April 2011 * |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108563414A (en) * | 2018-03-20 | 2018-09-21 | 广东乐芯智能科技有限公司 | A kind of watch displays luminance regulating method |
| CN110444151B (en) * | 2018-05-02 | 2021-03-09 | 京东方科技集团股份有限公司 | Gray scale compensation method and device, display device and computer storage medium |
| US11217146B2 (en) | 2018-05-02 | 2022-01-04 | Ordos Yuansheng Optoelectronics Co., Ltd. | Gray-level compensation method and apparatus, display device and computer storage medium |
| CN110444151A (en) * | 2018-05-02 | 2019-11-12 | 京东方科技集团股份有限公司 | Gray level compensation method and device, display device, computer storage medium |
| US10930225B2 (en) | 2018-05-18 | 2021-02-23 | Beijing Boe Optoelectronics Technology Co., Ltd. | Display control method and apparatus of backlight sources, and display device |
| CN108648700A (en) * | 2018-05-18 | 2018-10-12 | 京东方科技集团股份有限公司 | A kind of the dynamic light adjustment display control method and device of backlight |
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| CN113744684A (en) * | 2021-08-23 | 2021-12-03 | 集创北方(珠海)科技有限公司 | Display control method, display control device and display device |
| 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 |
| WO2023184340A1 (en) * | 2022-03-31 | 2023-10-05 | 京东方科技集团股份有限公司 | Display control method and apparatus, display device, electronic device and medium |
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