CN111199717A - Mura compensation method and system for liquid crystal display screen and storage medium - Google Patents

Mura compensation method and system for liquid crystal display screen and storage medium Download PDF

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CN111199717A
CN111199717A CN201811378055.0A CN201811378055A CN111199717A CN 111199717 A CN111199717 A CN 111199717A CN 201811378055 A CN201811378055 A CN 201811378055A CN 111199717 A CN111199717 A CN 111199717A
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CN111199717B (en
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王甜甜
韦泽垠
张毅
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Shenzhen TCL New Technology Co Ltd
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    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09GARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/20Control 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
    • G09G3/34Control 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
    • G09G3/36Control 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
    • G09G3/3607Control 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
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09GARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2320/00Control of display operating conditions
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Abstract

The invention provides a Mura compensation method and a Mura compensation system for a liquid crystal display screen, which are characterized in that a plurality of display screen images in different gray scales are obtained; extracting pixel values corresponding to pixel points at the same position in each display screen image; sequentially using pixel points in each display screen image as reference pixel points, sequentially using each pixel point in each display screen image as a reference pixel point, and calculating the mean value of corresponding pixel values of the reference pixel points of each display screen image at the same position: and taking the calculated average value as the pixel value of the pixel point of the corresponding display screen image at the same position to generate a compensated display screen image. The method of the invention utilizes the method of generating new images by the weight of different gray-scale images to correct the original Mura image and generate new display screen images. The distribution of the Mura of the display screen is corrected by the new calculation method, the calculation speed of the uniformity of the display screen and the processing speed of pictures are effectively improved, and a large amount of time is saved.

Description

Mura compensation method and system for liquid crystal display screen and storage medium
Technical Field
The invention relates to the technical field of image processing, in particular to a Mura compensation method and system for a liquid crystal display screen and a storage medium.
Background
The image Mura refers to the phenomenon that various traces are caused by the non-uniformity of the brightness of the display, and the uniformity of the brightness of the LED display screen reflects the uniformity of the display screen. If the display screen is uniform, the image display effect is better, and if the display screen is non-uniform, the display effect is poorer. The traditional Mura correcting method carries out correction through processing of related algorithms such as filtering and the like, but the time needed to be utilized is long, in the correction process, the filtering algorithm of an image and the filtering function parameter are set to be in important connection, different Mura stripe correction images can be obtained through different filtering parameter settings, and finally, the effect after correction needs to be further identified and judged through personal subjectivity, so that a great deal of time and manpower are needed. Because images with different gray scales show a Mura-free result in the playing process of a Mura-free display screen, if the display screen is not uniform, different Mura stripe patterns can appear when different gray scale images are played. Therefore, the method combines the limitation problem of the traditional algorithm correction with the method that different Mura effects can be displayed when the Mura display screen plays pictures with different gray scales.
Therefore, the prior art is subject to further improvement.
Disclosure of Invention
In view of the above disadvantages in the prior art, an object of the present invention is to provide a Mura compensation method, system and storage medium for a liquid crystal display, which overcome the defects of low correction efficiency and high cost caused by the large amount of time and labor required for setting a large number of parameters in the prior art for correcting Mura stripes of a display.
The invention discloses a Mura compensation method for a liquid crystal display screen, which comprises the following steps:
acquiring a plurality of display screen images in different gray scales;
extracting a pixel value corresponding to each pixel point in each display screen image;
sequentially taking each pixel point in each display screen image as a reference pixel point, and calculating the mean value of the pixel values corresponding to the reference pixel points at the same position of each display screen image;
and taking the calculated average value as the pixel value of the pixel point of the corresponding display screen image at the same position to generate a compensated display screen image.
Optionally, the method further includes:
and after a plurality of display screen images in different gray scales are acquired, denoising each display screen image.
Optionally, the step of calculating an average value of corresponding pixel values of reference pixels located at the same position in each display screen image includes:
respectively calculating the weight of each reference pixel point in the pixel value in a preset area taking the reference pixel point as the center;
calculating the linear weighted sum of the weight of the pixel value occupied by the reference pixel point of each display screen image at the same position according to the calculated weight;
taking a linear weighted sum of the weights as the calculated mean.
Optionally, the step of calculating the weight of each reference pixel point in the pixel value in the preset region with the reference pixel point as the center includes:
selecting a plurality of pixel points which are adjacent to the reference pixel point and are positioned in different directions in a preset area with the reference pixel point as the center;
and calculating the pixel value weight occupied by the pixel value corresponding to the comparison between the reference pixel point and the selected pixel points.
Optionally, the step of selecting a plurality of pixels adjacent to the reference pixel in different directions in a preset region centered on the reference pixel includes:
and selecting four adjacent pixel points in four directions of the upper left direction, the lower left direction, the upper right direction and the lower right direction of the position of the reference pixel point.
Optionally, the step of taking the calculated average value as the pixel value of the pixel point at the same position of the corresponding display screen image further includes:
sequentially obtaining a linear weighted sum of pixel values corresponding to each pixel point;
and sequentially adjusting the pixel values corresponding to the pixel points in the display screen image into the corresponding linear weighted sum according to a specific arrangement sequence.
A second embodiment provided by the present invention is a Mura compensation system for a liquid crystal display, including: a display panel and an image processing apparatus;
the display panel is used for displaying a plurality of display screen images in different gray scales;
the image processing device is used for acquiring a plurality of display screen images at different gray scales, extracting a pixel value corresponding to each pixel point in each display screen image, and calculating the mean value of the pixel values corresponding to the reference pixel points of each display screen image at the same position by taking each pixel point in each display screen image as a reference pixel point in sequence;
and the display panel is also used for generating a compensated display screen image by taking the calculated average value as the pixel value of the pixel point of the display screen image at the same position.
Optionally, the image processing apparatus includes: linear weighted sum computation module
The linear weighting and calculating module is used for calculating the weight of each reference pixel point in the pixel value in a preset area taking the reference pixel point as the center; and calculating the linear weighted sum of the weight of the pixel value occupied by the reference pixel point of each display screen image at the same position according to the calculated weight.
Optionally, the image processing apparatus includes: an image filtering module;
the image filtering module is used for denoising each display screen image after the display screen images in different gray scales are acquired.
A third embodiment of the present invention is a storage medium, where a control program for Mura compensation of a liquid crystal display is stored in the storage medium, and the control program for Mura compensation of a liquid crystal display is executed by a processor to implement the steps of the method for Mura compensation of a liquid crystal display.
The invention has the beneficial effects that the invention provides a liquid crystal Mura compensation method, a system and a storage medium, by acquiring a plurality of images in different gray scales; extracting pixel values corresponding to pixel points at the same position in each image; sequentially taking each pixel point in each display screen image as a reference pixel point, and calculating the mean value of the corresponding pixel values of the reference pixel points of each display screen image at the same position: and taking the calculated average value as the pixel value of the pixel point of the corresponding display screen image at the same position to generate a compensated display screen image. The method of the invention utilizes the method of generating new images by the weight of different gray-scale images to correct the original Mura image and generate new images. The Mura distribution is corrected by a new calculation method, the uniformity calculation speed and the picture processing speed are effectively improved, and a large amount of time is saved.
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FIG. 1 is a flow chart of the steps of a liquid crystal Mura compensation method provided by the present invention;
FIG. 2 is a flow chart illustrating steps of an embodiment of a method of the present invention;
FIG. 3 is a schematic diagram of a liquid crystal Mura compensation system according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the limitation problem of the traditional algorithm correction and the method for combining the Mura effect that different Mura effects can be displayed when Mura pictures with different gray scales are played, a new Mura texture correction method is provided.
Example 1
The invention discloses a Mura compensation method for a liquid crystal display screen, which comprises the following steps of:
and step S1, acquiring a plurality of display screen images in different gray scales.
In order to correct the Mura fringes appearing in the liquid crystal display, it is first necessary to acquire an image displayed by the liquid crystal display. During specific implementation, a camera installed on the mobile terminal or an external camera can be used for shooting images of the display screen, or the camera of the mobile terminal is used for shooting images of the display screen, and then the images of the display screen are transmitted to the image processing device for processing.
In order to obtain relatively accurate Mura stripe information, a plurality of display screen images in different gray scales need to be obtained in the step, and a better display screen Mura compensation effect is obtained on the basis of processing the display screen images in different gray scales.
And step S2, extracting the pixel value corresponding to each pixel point in each display screen image.
And after obtaining a plurality of display screen images in different gray scales in the steps, extracting pixel values corresponding to the pixel points in the same position in each display screen image. In this step, the pixel values of the display screen images with different gray scales can be extracted by using various methods for extracting the pixel values of the images.
And step S3, sequentially taking each pixel point in each display screen image as a reference pixel point, and calculating the mean value of the corresponding pixel values of the reference pixel points at the same position of each display screen image.
Because Mura stripes exist in the display screen image, a certain difference exists between pixel values of adjacent pixel points, and a certain difference also exists between pixel values corresponding to the same positions of the display screen images with different gray scales, so that the pixel mean value of the reference pixel point is calculated in the step, and the pixel points in the image are subjected to equalization processing.
And taking the pixel points in the display screen image as reference pixel points, and calculating the mean value of the pixel value of each reference pixel point by using a mean value method. The average value not only corresponds to an average value obtained by comparing pixel values of the reference pixel point and the surrounding connected pixels in a certain display screen image, but also comprises an average value obtained by comparing pixel values corresponding to pixels at the same position among all display screen images.
And step S4, taking the calculated average value as the pixel value of the pixel point of the corresponding display screen image at the same position, and generating the compensated display screen image.
And taking the calculated average value of each pixel point as the pixel value of the corrected display screen image, and displaying the compensated display screen image.
In order to accurately calculate the pixel value corresponding to the pixel point on the display screen image, before extracting the pixel value corresponding to each pixel point, the method further comprises the following steps:
and after a plurality of display screen images in different gray scales are acquired, denoising each display screen image.
In this step, the display screen image captured in step S1 is preprocessed to eliminate the noise interference of the captured display screen image. Preferably, Gaussian filtering is adopted for filtering processing, and the interference of image noise of the display screen is filtered. It is contemplated that other means of de-noising may be used.
Specifically, in order to obtain the average value of the pixel values by using an averaging method, the step of calculating the average value between each reference pixel point and the adjacent pixel points around the reference pixel point in the whole display screen image by using the averaging method includes:
and step S31, respectively calculating the weight of each reference pixel point in the pixel value in the preset area taking the reference pixel point as the center.
Selecting a plurality of pixel points which are adjacent to the reference pixel point and are positioned in different directions in a preset area with the reference pixel point as the center;
and calculating the weight occupied by the pixel value of the reference pixel point compared with the pixel values of a plurality of adjacent pixel points. Adjacent pixel points: and selecting four adjacent pixel points in four directions of the upper left direction, the lower left direction, the upper right direction and the lower right direction of the position of the reference pixel point.
And step S32, calculating the linear weighted sum of the weight of the pixel value occupied by the reference pixel point of each display screen image at the same position according to the calculated weight.
Step S33, the linear weighted sum of the weights is used as the calculated average value.
Further, the step of using the calculated average value of each pixel point as the pixel value of the pixel point at the corresponding position of the display screen image further includes:
sequentially obtaining a linear weighted sum of pixel values corresponding to each pixel point;
and sequentially adjusting the pixel values corresponding to the pixel points in the display screen image into the corresponding linear weighted sum according to a specific arrangement sequence.
The linear weighted sum used in the above steps is: and multiplying the weight of the pixel point by the corresponding weight coefficient and then superposing the weight. The weight in the method is the weight of the pixel value corresponding to each pixel point calculated by using a weight formula, which accounts for the pixel values corresponding to all the pixel points in the range of the preset area. The weight coefficient is the pixel value of the reference pixel. The specific weight formula may be a weight value calculated according to a preset proportionality coefficient, or a weight calculation according to a preset weight calculation formula.
Specifically, in the method of the present invention, the following formula is used to calculate the weight:
Figure 626949DEST_PATH_IMAGE001
w represents the weight of the pixel value corresponding to the pixel point, nk represents the pixel value corresponding to any pixel point except the reference pixel point in the preset area, M represents the pixel value corresponding to the reference pixel point, and j is the number of other pixel points except the reference pixel point. In the above formula: and superposing the difference value of the pixel value corresponding to the division reference pixel point in the preset area and other pixel values, and then dividing the superposition value by the product of the absolute values of the difference values to obtain the weight of the pixel value corresponding to the corresponding reference pixel point.
The linear weighted sum of pixel values is: the sum of the superpositions of the weights of the pixel values at the same position in each display screen image multiplied by their pixel values.
The specific arrangement sequence can be from top to bottom and from left to right, or from bottom to top and from right to left, and the pixel values on the display screen are sequentially adjusted according to the sequence of the central pixel points and the edge pixel points.
The following is a more detailed description of the method with reference to the specific application example of the method of the present invention:
the invention provides an effective method for correcting Mura distribution of a display screen image. The processing steps are shown in fig. 2:
step H1: the camera takes an image of the display screen.
The images of the display screen with different gray scales are shot respectively, namely pictures with 112 gray scales, 120 gray scales and 128 gray scales are played on the display screen respectively.
In the actual correction process, more display screen pictures with different gray scales can be shot for calculation, and in the scheme, for convenience in description, 3 pictures shot with different gray scale display screens are uniformly used for reference and correction. Assume that the size of the captured image of the display screen is W × H. It is conceivable that display screen images of different gray scales show different effects on the same display screen with Mura stripes.
Step H2: the display screen image captured in step H1 is preprocessed to eliminate interference of noise of the captured display screen image itself. Preferably, Gaussian filtering is adopted for filtering processing, and the interference of image noise of the display screen is filtered.
Step H3: record pixel values, and step H4: calculating a linear weighted sum of the corresponding pixel values of each pixel point:
and 3.1, recording pixel points at the same positions of the three different gray scale display screen images.
Assume that the pixel at this position with gray level 112 is
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The surrounding four-directional pixel points are
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Assume that the pixel at this position with the gray scale value of 120 is
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The surrounding four-directional pixel points are
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Assume that the pixel at the position with the gray scale value of 128 is
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The surrounding four-directional pixel points are
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Figure 771361DEST_PATH_IMAGE014
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3.2, calculating the weights of the pixels with three different gray scales according to the following formula:
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3.3, calculating a new pixel value of the pixel point at the same position by using the following formula:
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the value is a new value calculated at the corresponding position, and the new value is the average value mentioned in the above method, it should be noted that, in the formula, the value is
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Figure 223257DEST_PATH_IMAGE012
The pixel values of the corresponding pixel points are respectively used for calculation to obtain an average value, and the weight formula also uses the pixel values corresponding to the pixel points.
Step H5: and (4) sequentially and completely processing the pixel points at different positions of the image according to the sequence of rows and columns to generate the numerical values of new pixel points at different positions, and generating a final new display screen image after combination.
Aiming at the Mura problem of the display screen, the invention provides a new method for correcting image Mura stripes. And (4) correcting Mura stripes of the display screen by adopting weight distribution calculation of different gray-scale images. Firstly, filtering the interference of the noise of the image by a Gaussian filtering algorithm. And recording the pixel points at the same positions of different gray scales aiming at the filtered image, then calculating the weight values of the pixel points at the same positions and different gray scales, and adjusting the numerical values of the pixel points by using the calculated weight values. And generating a new image through the calculation of the pixel points at each position of the image, wherein the generated new image is the corrected image. Compared with the traditional method, the method utilizes the weight calculation of different gray scale weights of the display screen image and the numerical values of the pixel points around the same position of the different gray scale images to correct.
Example 2
A second embodiment of the present invention is a Mura compensation system for a liquid crystal display, as shown in fig. 3, including: a display panel 110 and an image processing apparatus 120;
the display panel 110 is configured to display a plurality of display screen images in different gray scales;
the image processing device 120 is configured to obtain a plurality of display screen images in different gray scales, extract a pixel value corresponding to each pixel point in each display screen image, and calculate an average value of pixel values corresponding to reference pixel points of each display screen image located at the same position by sequentially using each pixel point in each display screen image as a reference pixel point.
The display panel 110 is further configured to use the calculated average value as a pixel value of a pixel point of the display screen image at the same position, and generate a compensated display screen image.
Specifically, the image processing apparatus includes: an image filtering module;
the image filtering module is used for denoising each display screen image after the display screen images in different gray scales are acquired.
In addition, the image processing apparatus includes: linear weighted sum computation module
The linear weighting and calculating module is used for calculating the weight of each reference pixel point in the pixel value in a preset area taking the reference pixel point as the center; and calculating the linear weighted sum of the weight of the pixel value occupied by the reference pixel point of each display screen image at the same position according to the calculated weight.
By the method, the new image without the Mura can be generated according to the weight calculation of the pixel values of the pixel points at the same position of different gray-scale images. The method is beneficial to texture adjustment of the Mura of the display screen, reduces the influence of the Mura image of the image, generates a new Mura image by calculating the relevant weight of the surrounding pixel values, improves the speed of the algorithm, reduces the consumption of manpower and a computer, saves a large amount of time, and is beneficial to calculation and statistics of data.
Example 3
A third embodiment of the present invention is a storage medium, where a control program for Mura compensation of a liquid crystal display is stored in the storage medium, and the control program for Mura compensation of a liquid crystal display is executed by a processor to implement the steps of the method for Mura compensation of a liquid crystal display.
The storage medium may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data used or received by the industrial equipment management method, and the like. Further, the storage medium may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device.
The computer equipment can execute the method provided by the embodiment of the invention, and has corresponding functional modules for executing the method and corresponding beneficial effects. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiment of the present invention.
The invention has the beneficial effects that the invention provides a liquid crystal Mura compensation method, a system and a storage medium, by acquiring a plurality of images in different gray scales; extracting pixel values corresponding to pixel points at the same position in each image; calculating linear weighted sum of pixel values corresponding to pixel points at the same position in the images based on the pixel value corresponding to each pixel point in each image; and taking the calculated linear weighted sum of each pixel point as a pixel value of the pixel point at the corresponding position of the image to generate a compensated image. The method of the invention utilizes the method of generating new images by the weight of different gray-scale images to correct the original Mura image and generate new images. The Mura distribution is corrected by a new calculation method, the uniformity calculation speed and the picture processing speed are effectively improved, and a large amount of time is saved.
It should be understood that equivalents and modifications of the technical solution and inventive concept thereof may occur to those skilled in the art, and all such modifications and alterations should fall within the scope of the appended claims.

Claims (10)

1. A Mura compensation method for a liquid crystal display screen is characterized by comprising the following steps:
acquiring a plurality of display screen images in different gray scales;
extracting a pixel value corresponding to each pixel point in each display screen image;
sequentially taking each pixel point in each display screen image as a reference pixel point, and calculating the mean value of the pixel values corresponding to the reference pixel points at the same position of each display screen image;
and taking the calculated average value as the pixel value of the pixel point of the corresponding display screen image at the same position to generate a compensated display screen image.
2. A method for compensating for Mura in a liquid crystal display panel according to claim 1, further comprising:
and after a plurality of display screen images in different gray scales are acquired, denoising each display screen image.
3. The Mura compensation method for liquid crystal display screen of claim 1 or 2, wherein the step of calculating the mean value of the corresponding pixel values of the reference pixel points at the same position of each of the display screen images comprises:
respectively calculating the weight of each reference pixel point in the pixel value occupied by the reference pixel point in a preset area taking the reference pixel point as the center;
calculating the linear weighted sum of the weight of the pixel value occupied by the reference pixel point of each display screen image at the same position according to the calculated weight;
taking a linear weighted sum of the weights as the calculated mean.
4. The Mura compensation method for liquid crystal display screen of claim 3, wherein the step of calculating the weight of each reference pixel point to the pixel value in the preset area with the reference pixel point as the center comprises:
selecting a plurality of pixel points which are adjacent to the reference pixel point and are positioned in different directions in a preset area with the reference pixel point as the center;
and calculating the pixel value weight occupied by the pixel value corresponding to the comparison between the reference pixel point and the selected pixel points.
5. The Mura compensation method of claim 4, wherein the step of selecting a plurality of pixels adjacent to the reference pixel in different directions within a predetermined area centered on the reference pixel comprises:
and selecting four adjacent pixel points in four directions of the upper left direction, the lower left direction, the upper right direction and the lower right direction of the position of the reference pixel point.
6. The method of claim 3, wherein the step of using the calculated mean as the pixel values of the pixels at the same locations of the corresponding display screen image further comprises:
sequentially obtaining a linear weighted sum of pixel values corresponding to each pixel point;
and sequentially adjusting the pixel values corresponding to the pixel points in the display screen image into the corresponding linear weighted sum according to a specific arrangement sequence.
7. A Mura compensation system for a liquid crystal display, comprising: a display panel and an image processing apparatus;
the display panel is used for displaying a plurality of display screen images in different gray scales;
the image processing device is used for acquiring a plurality of display screen images at different gray scales, extracting a pixel value corresponding to each pixel point in each display screen image, and calculating the mean value of the pixel values corresponding to the reference pixel points of each display screen image at the same position by taking each pixel point in each display screen image as a reference pixel point in sequence;
and the display panel is also used for generating a compensated display screen image by taking the calculated average value as the pixel value of the pixel point of the display screen image at the same position.
8. The system for compensating Mura of a liquid crystal display screen according to claim 7, wherein the image processing apparatus comprises: linear weighted sum computation module
The linear weighting and calculating module is used for calculating the weight of each reference pixel point in the pixel value in a preset area taking the reference pixel point as the center; and calculating the linear weighted sum of the weight of the pixel value occupied by the reference pixel point of each display screen image at the same position according to the calculated weight.
9. The system for compensating Mura of a liquid crystal display screen according to claim 7, wherein the image processing apparatus comprises: an image filtering module;
the image filtering module is used for denoising each display screen image after the display screen images in different gray scales are acquired.
10. A storage medium having a control program for liquid crystal display Mura compensation stored thereon, wherein the control program for liquid crystal display Mura compensation when executed by a processor implements the steps of the method for liquid crystal display Mura compensation of any of claims 1-6.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113012096A (en) * 2020-12-28 2021-06-22 深圳精智达技术股份有限公司 Display screen sub-pixel positioning and brightness extraction method, device and storage medium
CN113744702A (en) * 2021-08-26 2021-12-03 蔡婷 Driving system of liquid crystal display panel
CN116128740A (en) * 2022-10-10 2023-05-16 深圳康荣电子有限公司 Intelligent image processing method and system for liquid crystal display screen
CN116128740B (en) * 2022-10-10 2024-05-14 深圳康荣电子有限公司 Intelligent image processing method and system for liquid crystal display screen

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH10290450A (en) * 1997-04-14 1998-10-27 Nippon Telegr & Teleph Corp <Ntt> Method for generating frame multiplex image
US20080284680A1 (en) * 2007-05-17 2008-11-20 Top Team Int'l Patent & Trademark Office Image display system
CN101777303A (en) * 2010-03-17 2010-07-14 四川虹欧显示器件有限公司 Method and device for reducing dynamic false contour of plasma display screen
US20110150356A1 (en) * 2009-12-22 2011-06-23 Jo Kensei Image processing apparatus, image processing method, and program
CN103366187A (en) * 2013-07-04 2013-10-23 华侨大学 Image texture characteristic value extraction method based on four-point binary model
CN104166969A (en) * 2014-08-25 2014-11-26 广东威创视讯科技股份有限公司 Digital image enhancement method and system
CN104505010A (en) * 2014-12-17 2015-04-08 深圳市华星光电技术有限公司 Image displaying method, image displaying device and display device
CN104699438A (en) * 2015-03-24 2015-06-10 深圳市华星光电技术有限公司 Equipment and method for processing to-be-displayed picture of OLED (Organic Light Emitting Diode) displayer
CN105741764A (en) * 2016-03-31 2016-07-06 深圳市华星光电技术有限公司 Method for eliminating Mura of OLED display panel
CN106601167A (en) * 2016-12-20 2017-04-26 上海天马有机发光显示技术有限公司 Gray scale compensation method, apparatus and system of display panel
CN107204175A (en) * 2017-05-17 2017-09-26 友达光电股份有限公司 Pixel driving method and panel driving circuit
CN107799084A (en) * 2017-11-21 2018-03-13 武汉华星光电半导体显示技术有限公司 Device and method, the memory of luminance compensation
CN108364615A (en) * 2018-02-13 2018-08-03 深圳市华星光电技术有限公司 Mura compensation methodes and Mura compensation systems
CN108510927A (en) * 2017-02-28 2018-09-07 上海顺久电子科技有限公司 Method for enhancing picture contrast and device in a kind of camber display screen

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH10290450A (en) * 1997-04-14 1998-10-27 Nippon Telegr & Teleph Corp <Ntt> Method for generating frame multiplex image
US20080284680A1 (en) * 2007-05-17 2008-11-20 Top Team Int'l Patent & Trademark Office Image display system
US20110150356A1 (en) * 2009-12-22 2011-06-23 Jo Kensei Image processing apparatus, image processing method, and program
CN101777303A (en) * 2010-03-17 2010-07-14 四川虹欧显示器件有限公司 Method and device for reducing dynamic false contour of plasma display screen
CN103366187A (en) * 2013-07-04 2013-10-23 华侨大学 Image texture characteristic value extraction method based on four-point binary model
CN104166969A (en) * 2014-08-25 2014-11-26 广东威创视讯科技股份有限公司 Digital image enhancement method and system
CN104505010A (en) * 2014-12-17 2015-04-08 深圳市华星光电技术有限公司 Image displaying method, image displaying device and display device
CN104699438A (en) * 2015-03-24 2015-06-10 深圳市华星光电技术有限公司 Equipment and method for processing to-be-displayed picture of OLED (Organic Light Emitting Diode) displayer
CN105741764A (en) * 2016-03-31 2016-07-06 深圳市华星光电技术有限公司 Method for eliminating Mura of OLED display panel
CN106601167A (en) * 2016-12-20 2017-04-26 上海天马有机发光显示技术有限公司 Gray scale compensation method, apparatus and system of display panel
CN108510927A (en) * 2017-02-28 2018-09-07 上海顺久电子科技有限公司 Method for enhancing picture contrast and device in a kind of camber display screen
CN107204175A (en) * 2017-05-17 2017-09-26 友达光电股份有限公司 Pixel driving method and panel driving circuit
CN107799084A (en) * 2017-11-21 2018-03-13 武汉华星光电半导体显示技术有限公司 Device and method, the memory of luminance compensation
CN108364615A (en) * 2018-02-13 2018-08-03 深圳市华星光电技术有限公司 Mura compensation methodes and Mura compensation systems

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113012096A (en) * 2020-12-28 2021-06-22 深圳精智达技术股份有限公司 Display screen sub-pixel positioning and brightness extraction method, device and storage medium
CN113744702A (en) * 2021-08-26 2021-12-03 蔡婷 Driving system of liquid crystal display panel
CN116128740A (en) * 2022-10-10 2023-05-16 深圳康荣电子有限公司 Intelligent image processing method and system for liquid crystal display screen
CN116128740B (en) * 2022-10-10 2024-05-14 深圳康荣电子有限公司 Intelligent image processing method and system for liquid crystal display screen

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