CN115602093A

CN115602093A - Method, system and equipment for performing Demura compensation based on white picture

Info

Publication number: CN115602093A
Application number: CN202211296031.7A
Authority: CN
Inventors: 吴红君; 马煜华
Original assignee: Suzhou Jiazhicai Optoelectronics Technology Co ltd
Current assignee: Suzhou Jiazhicai Optoelectronics Technology Co ltd
Priority date: 2022-10-21
Filing date: 2022-10-21
Publication date: 2023-01-13

Abstract

The invention relates to the technical field of display panels, and discloses a method, a system and equipment for performing Demura compensation based on a white picture, wherein the method comprises the following steps: determining and collecting an RGB three-in-one positioning map and a white gray scale map according to the screen resolution and SPR, carrying out RGB sub-pixel positioning according to the RGB three-in-one positioning map to obtain sub-pixel positioning coordinates, and obtaining standard brightness data which is not influenced by crosstalk to obtain RGBW three-channel sub-pixel brightness data; calibrating RGBW three-channel sub-pixel brightness data by using standard brightness data which are not influenced by crosstalk to obtain target brightness data, and performing compensation restoration by combining gamma response characteristics of a screen; the system comprises modules implementing the methods, the device comprising a memory, a processor and a computer program implementing the methods. The invention can shorten the operation beat of the Demura work station and improve the efficiency and the Mura compensation capability.

Description

Method, system and equipment for performing Demura compensation based on white picture

Technical Field

The invention relates to the technical field of display panels, in particular to a method, a system and equipment for performing Demura compensation based on a white picture.

Background

With the continuous development of information display technology, the market demand of display screens such as LCD, AMOLED, MINILED, etc. is increasing, and a greater generation challenge is provided to corresponding panel suppliers. Further optimization of shipment yield and shipment tact has become a primary solution. The main process of the existing equipment is as follows: the method comprises the steps of collecting corresponding brightness data of a screen by using a high-precision industrial camera, calculating a compensation value through a Demura algorithm, and burning and writing the data into a screen Flash by using a signal transmitter PG. The display image quality of a workshop screen can be greatly improved by the Demura work station, the screen output yield is improved, but the Demura work station is used as an operation work station at the tail end of screen output and is limited by factors such as various operation flow items, and the operation beat of the Demura work station becomes a bottleneck restricting the mass production capacity of a production line.

The traditional Demura operation flow respectively adopts images for three RGB channels, but a plurality of problems exist in the mode of acquiring the sub-pixel brightness data of the three RGB channels, and the problems mainly comprise that: firstly, too much image data is acquired, so that the beat length of the operation of a Demura workstation is long; secondly, the method is limited by the problems of proportion and the like in the process of mixing RGB three channels into W (W refers to white, and mixed W refers to mixing red, green and blue three channels into white), and has the problem of lacking of Mura compensation capability such as color nonuniformity.

Disclosure of Invention

Therefore, the technical problem to be solved by the present invention is to overcome the defects in the prior art, and provide a method, a system and a device for performing Demura compensation based on a white picture, which can shorten the operation beat of a Demura workstation, and improve the efficiency and the Mura compensation capability such as color unevenness.

In order to solve the above technical problem, the present invention provides a method for performing Demura compensation based on a white picture, comprising:

determining an RGB three-in-one positioning map and a white gray scale map to be acquired according to screen resolution and sub-pixel rendering, and acquiring the RGB three-in-one positioning map and the white gray scale map by using an industrial camera;

carrying out RGB sub-pixel positioning according to the RGB three-in-one positioning diagram to obtain RGB three-channel sub-pixel positioning coordinates, and acquiring standard brightness data of RGB three channels without being influenced by crosstalk;

extracting RGBW three-channel sub-pixel brightness data of the white gray scale image according to the white gray scale image and the RGB three-channel sub-pixel positioning coordinates;

calibrating RGBW three-channel sub-pixel brightness data of the white gray scale image by using the standard brightness data of the RGB three channels which are not influenced by crosstalk to obtain target RGB three-channel brightness data;

and compensating and repairing the screen according to the gamma response characteristic of the screen and the target RGB three-channel brightness data.

Preferably, the RGB three-in-one positioning map and the white gray scale map to be acquired are determined according to the screen resolution and the subpixel rendering, and specifically include:

render up according to screen resolution and subpixel, combine the curved surface shape of waiting to gather grey scale sequence and screen to generate the trinity mapping of RGB and white grey scale picture, the trinity mapping of RGB is the white picture, through the RGB three-in-one mapping separates the RGB three-colour.

Preferably, the RGB three-channel sub-pixel positioning coordinate is obtained by RGB sub-pixel positioning according to the RGB three-in-one positioning map, and the method specifically comprises the following steps:

processing the RGB three-in-one positioning map to obtain a binary map, and performing morphological statistical processing on the binary map to obtain first-stage characteristic information;

acquiring positioning coordinate information of the first-stage characteristic information, and acquiring a positioning coordinate of the first-stage characteristic information at a corresponding position under a screen coordinate system;

and establishing a mapping relation between the positioning coordinate information of the first-stage characteristic information and the positioning coordinate of the corresponding position of the first-stage characteristic information under a screen coordinate system, and converting the RGB three-channel sub-pixel positioning coordinate under the screen coordinate system into the RGB three-channel sub-pixel positioning coordinate under the RGB three-in-one positioning chart according to the mapping relation.

Preferably, before the positioning coordinate information of the first-level feature information is acquired, the first-level feature information is verified.

Preferably, when the mapping relationship between the positioning coordinate information of the first-level feature information and the positioning coordinate of the corresponding position of the first-level feature information in the screen coordinate system is established, the used method is polynomial fitting.

Preferably, the acquiring of the standard luminance data of the RGB three channels without being affected by crosstalk specifically includes:

and fitting a two-dimensional Gaussian function by using a least square method, and performing sub-pixel brightness extraction on the standard brightness data of the RGB three channels in the screen to obtain the standard brightness data of the RGB three channels which are not influenced by crosstalk.

Preferably, the RGBW three-channel sub-pixel luminance data of the white gray scale map is calibrated by using the standard luminance data of the RGB three channels without being affected by crosstalk, so as to obtain target RGB three-channel luminance data, specifically:

using a BP neural network to calibrate and train the standard brightness data of the RGB three channels which are not influenced by crosstalk and the RGBW three-channel sub-pixel brightness data of the white gray scale image to obtain a calibration model,

and performing error correction on the data in the white gray-scale image by using the calibration model to obtain the target RGB three-channel brightness data.

Preferably, the compensation and restoration of the screen according to the gamma response characteristic of the screen and the target RGB three-channel luminance data specifically includes:

calculating the compensation brightness of the RGB three channels by combining the target RGB three-channel brightness data and the existing RGB three-channel brightness data of the screen;

establishing a mapping relation according to gamma response characteristics of a screen, and acquiring compensation values of sub-pixel points of RGB three channels by combining the compensation brightness of the RGB three channels;

and writing the compensation values of the sub-pixel points of the RGB three channels into a screen through a signal transmitter to realize compensation and restoration.

The invention also provides a system for performing Demura compensation based on a white picture, which comprises a white gray-scale image acquisition module, a sub-pixel positioning module, a brightness data acquisition module, a brightness calibration module and a compensation restoration module,

the white gray scale image acquisition module determines an RGB three-in-one positioning image and a white gray scale image to be acquired according to screen resolution and sub-pixel rendering, the RGB three-in-one positioning image and the white gray scale image are transmitted to the sub-pixel positioning module by using an industrial camera, and the white gray scale image is transmitted to the brightness data acquisition module;

the sub-pixel positioning module carries out RGB sub-pixel positioning according to the RGB three-in-one positioning diagram to obtain RGB three-channel sub-pixel positioning coordinates, and the RGB three-channel sub-pixel positioning coordinates are transmitted to the brightness data acquisition module;

the brightness data acquisition module acquires standard brightness data of an RGB three-channel of a screen under the condition of not being influenced by crosstalk, extracts RGBW three-channel sub-pixel brightness data of the white gray scale image according to the white gray scale image and the RGB three-channel sub-pixel positioning coordinates, and transmits the standard brightness data of the RGB three-channel under the condition of not being influenced by the crosstalk and the RGBW three-channel sub-pixel brightness data of the white gray scale image to the brightness calibration module;

the brightness calibration module calibrates RGBW three-channel sub-pixel brightness data of the white gray scale image by using standard brightness data of the RGB three channels which are not influenced by crosstalk to obtain target RGB three-channel brightness data, and transmits the target RGB three-channel brightness data to the compensation restoration module;

and the compensation repairing module carries out compensation repairing on the screen according to gamma response characteristics of the screen and the target RGB three-channel brightness data.

The invention also provides a device for performing Demura compensation based on the white picture, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the steps of the method for performing Demura compensation based on the white picture when executing the computer program.

Compared with the prior art, the technical scheme of the invention has the following advantages:

(1) Through collecting the trinity positioning diagram of RGB, white grey scale picture replacement traditional RGB three channel image collection compares in the operation flow of traditional Demura trade, reduces and uses the industry camera to gather 2/3 gray scale data, has shortened 2/3's Demura operation beat, effectively improves work efficiency.

(2) RGB sub-pixel positioning and RGB brightness data are analyzed through a Demura algorithm, RGB three-channel data are analyzed according to W, the problem of synthesis coefficients when RGB is used for synthesizing W pictures is solved, the Mura compensation capability such as color unevenness is improved, and therefore the compensation precision and the yield of a Demura work station are improved.

(3) Compared with the traditional method, the method has the advantages that the process is simple, the requirement of the debugging process on the service capability of the operation operator is reduced, and the working efficiency of the operator can be improved.

Drawings

In order that the manner in which the present invention is more fully understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings, wherein:

figure 1 is a flow chart of the present invention,

figure 2 is a RGB three-in-one map of the present invention,

figure 3 is an enlarged view of a portion of figure 2,

figure 4 is an SPR mapping on a screen in an embodiment of the present invention,

figure 5 is a W picture acquired using the present invention in an embodiment,

figure 6 is a single channel G picture acquired using conventional means in an embodiment,

figure 7 is a difference image obtained by comparing figures 5 and 6,

FIG. 8 is a diagram illustrating a screen display obtained according to FIG. 5 in an example.

Detailed Description

The present invention is further described below in conjunction with the following figures and specific examples so that those skilled in the art may better understand the present invention and practice it, but the examples are not intended to limit the present invention.

In the description of the present invention, it is to be understood that the terms "first", "second" and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "second" or "first" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Referring to fig. 1, the invention discloses a method for Demura compensation based on a white picture, comprising the following steps:

s1: determining an RGB three-in-one positioning map and a white gray scale map to be acquired according to screen resolution and sub-pixel rendering (SPR), and acquiring the RGB three-in-one positioning map and the white gray scale map by using an industrial camera.

S1-1: render according to screen resolution and subpixel, combine to wait to gather the curved surface shape (like digging pit, bang, waterfall etc.) of grey level sequence and screen and generate the trinity mapping of RGB and white grey level picture, the trinity mapping of RGB is the white picture image that has fused the RGB three-colour, through the trinity mapping of RGB can separate the RGB three-colour, can pass through in this embodiment promptly the trinity mapping of RGB analyzes out RGB three channel subpixel positioning coordinate Rcam (x, y), gcam (x, y), bcam (x, y) and RGBW three channel subpixel luminance data lumRW _(x,y) 、LumGW _(x,y) 、LumBW _(x,y) ；

The trinity mapping of RGB can once only acquire the locating information of three passageway, uses the industry camera once to shoot and can obtain the white grey scale picture to need gather the RGB passageway picture that the cubic obtained in this replacement trade tradition, can reduce 2/3's sampling data volume, reduced Demura equipment 2/3's workstation operation beat, improve Demura equipment volume production level.

In this embodiment, a screen product is taken as an example to generate the RGB three-in-one positioning diagram shown in fig. 2 to 3. The resolution of the screen is shown in table 1, the sequence of gray levels to be acquired of the screen is shown in table 2, the SPR mapping of the screen is shown in fig. 4, and odd lines and Even lines in fig. 4 refer to odd and Even lines.

TABLE 1 Screen resolution Table

Item	Parameter(s)
		R resolution	[2688,621]
G resolution	[2688,1242]
		B resolution	[2688,621]
Signal transmitter mapping resolution	[2688,828]

Table 2 screen to-be-collected gray scale sequence table

S1-2: and collecting the RGB three-in-one positioning map and the white gray scale map by using an industrial camera. The RGB three-in-one map is a white picture image fused with three colors of RGB, and the white gray scale map is a series of maps including each gray scale sequence shown in table 2.

S2: according to the RGB three-in-one positioning diagram, RGB sub-pixel positioning is carried out by using a Demura algorithm to obtain the RGB three-channel sub-pixel positioningThe position marks are Rcam (x, y), gcam (x, y) and Bcam (x, y); obtaining standard brightness data (namely standard brightness data in a white gray-scale chart without being influenced by crosstalk) of RGB three channels without being influenced by crosstalk and recording the standard brightness data as LumR0 _(x,y) 、LumG0 _(x,y) 、LumB0 _(x,y) 。

S2-1: according to the RGB three-in-one positioning diagram, RGB sub-pixel positioning is carried out by using a Demura algorithm to obtain RGB three-channel sub-pixel positioning coordinates, and the method specifically comprises the following steps:

s2-1-1: processing the RGB three-in-one positioning map to obtain a binary map, and performing morphological statistical processing on the binary map to obtain first-stage characteristic information comprising a position, an area and a morphological center; the process of processing the RGB three-in-one positioning diagram to obtain the binary diagram is as follows: and carrying out image preprocessing such as Gaussian noise reduction on the RGB three-in-one positioning map, and acquiring a binary image of the preprocessed image by using an Otsu algorithm.

S2-1-2: and verifying the first-stage characteristic information, and eliminating abnormal points to improve the compensation precision. And the method used for checking the first-stage characteristic information is an abnormal judgment algorithm such as a 3sigma algorithm or a KNN algorithm, and the abnormal point is deleted after the abnormal point is judged.

S2-1-3: acquiring positioning coordinate information Rcam (x, y) ', gcam (x, y) ', bcam (x, y) ', and acquiring positioning coordinates Rscr (x, y) ', gsc (x, y) ', bsc (x, y) ', and Bsc (x, y) ' of the first-stage feature information at the corresponding position of a screen coordinate system;

s2-1-4: in the imaging process of the high-resolution industrial camera, the process of optically mapping the screen information into a camera coordinate system is nonlinear mapping, so that the mapping relation between the positioning coordinate information of the first-stage feature information and the positioning coordinate of the first-stage feature information at the corresponding position under the screen coordinate system is established in the invention, and the mapping relation is used as the mapping relation between the coordinate system of the industrial camera and the coordinate system of the screen; and converting the RGB three-channel sub-pixel positioning coordinates under the screen coordinate system into RGB three-channel sub-pixel positioning coordinates Rcam (x, y), gcam (x, y) and Bcam (x, y) under the RGB three-in-one positioning diagram coordinate system according to the mapping relation, and realizing the positioning of all sub-pixel points of RGB three channels under the camera coordinate system.

And when the mapping relation between the positioning coordinate information of the first-stage characteristic information and the positioning coordinate of the corresponding position of the first-stage characteristic information in the screen coordinate system is established, the used method is polynomial fitting.

The parameters involved in the polynomial fitting process in this example are shown in table 3:

TABLE 3 polynomial fitting parameter Table

Description of the parameters	Meaning of parameters
		x	The column direction in the coordinate system of the screen, for example: 1,2,3 … …
y	The row direction in the coordinate system of the screen, for example: 1,2,3 … …
		X	The column direction corresponding to (x, y) in the coordinate system of the camera and the parameter are float type
Y	The (x, y) corresponding row direction in the coordinate system of the camera and the parameter is float type
		N	Polynomial order

(x ^m ,y ^m ) In the coordinate system of the screenCoordinate information of mth pixel, (X) ^m ,Y ^m ) Is the coordinate information of the mth pixel in the coordinate system of the camera, according to the definition of an N-th order polynomial:

substituting Rscr (x, y) ', gsc (x, y)', bsc (x, y) ', rcam (x, y)', gcam (x, y) ', bcam (x, y)' into the definition of the N-order polynomial, and solving C of all first-stage feature information by adopting a least square method _ij Combination C _ij And obtaining a coefficient matrix, wherein the coefficient matrix is a corresponding mapping relation.

S2-2: the method for acquiring the standard brightness data of the RGB three channels without being influenced by crosstalk specifically comprises the following steps:

the imaging process of the industrial camera can be simplified into a convex lens imaging process, wherein an ideal point passes through a PSF (point spread function) model in the imaging process of an optical system and can be subjected to engineering approximation processing by adopting a two-dimensional Gaussian function. In the invention, a least square method is used for fitting a two-dimensional Gaussian function, and sub-pixel brightness extraction is carried out on the standard brightness data of RGB three channels in the screen to obtain the standard brightness data of the RGB three channels which are not influenced by crosstalk.

S3: extracting RGBW three-channel sub-pixel brightness data of the white gray scale image by using a Demura algorithm according to the white gray scale image and the RGB three-channel sub-pixel positioning coordinates Rcam (x, y), gcam (x, y) and Bcam (x, y) and recording the RGBW three-channel sub-pixel brightness data as LumRW _(x,y) 、LumGW _(x,y) 、LumBW _(x,y) . The method specifically comprises the steps of fitting a two-dimensional Gaussian function by using a least square method, carrying out sub-pixel brightness extraction on RGB three-channel sub-pixel positioning coordinates Rcam (x, y), gcam (x, y) and Bcam (x, y) under a white gray scale map coordinate system, and obtaining RGBW three-channel sub-pixel brightness data LumRW (LumRW) under the white gray scale map coordinate system _(x,y) 、LumGW _(x,y) 、LumBW _(x,y) 。

S4: limited by crosstalk, focusing and other factors, and brightness data LumRW _(x,y) 、LumGW _(x,y) 、LumBW _(x,y) Lower accuracy, in view of the aboveThe invention uses the standard brightness data LumR0 of the RGB three channels without being influenced by crosstalk _(x,y) 、LumG0 _(x,y) 、LumB0 _(x,y) RGBW three-channel sub-pixel brightness data LumRW of the white gray scale map _(x,y) 、LumGW _(x,y) 、LumBW _(x,y) Calibrating to obtain target RGB three-channel brightness data recorded as LumR _(x,y) 、LumG _(x,y) 、LumB _(x,y) . The problem of low data precision caused by factors such as crosstalk and focusing is eliminated through calibration, and the luminance data LumR is improved _(x,y) 、LumG _(x,y) 、LumB _(x,y) The accuracy of (2).

S4-1: using a BP neural network to carry out standard brightness data LumR0 without influence of crosstalk on the RGB three channels _(x,y) 、LumG0 _(x,y) 、LumB0 _(x,y) And RGBW three-channel sub-pixel luminance data LumRW of the white gray scale map _(x,y) 、LumGW _(x,y) 、LumBW _(x,y) Carrying out calibration training to obtain a calibration model;

s4-2: and performing error correction on the data in the white gray-scale image by using the calibration model to obtain the target RGB three-channel brightness data.

S5: and compensating and repairing the screen according to gamma response characteristics of the screen and the target RGB three-channel brightness data, improving the screen display yield, solving the problem of RGB mixed W proportion, and optimizing the compensation effect of color unevenness in a W picture.

S5-1: calculating the compensation brightness of the RGB three channels by combining the target RGB three-channel brightness data and the existing RGB three-channel brightness data of the screen;

establishing a mapping relation according to gamma response characteristics of a screen, obtaining compensation values of sub-pixel points of the RGB three channels by combining the compensation brightness of the RGB three channels, and realizing the calculation of compensation data of 1*1 pixel levels and block modes such as 2*2, 2*4 and the like;

and writing the compensation values of the sub-pixel points of the RGB three channels into a screen Flash through a signal transmitter to realize compensation and restoration.

The invention also discloses a system for performing Demura compensation based on the white picture, which comprises a white gray-scale image acquisition module, a sub-pixel positioning module, a brightness data acquisition module, a brightness calibration module and a compensation restoration module. White grey scale picture collection module is according to screen resolution and the trinity mapping of RGB and the white grey scale picture of waiting to gather of subpixel rendering determination, uses the industry camera the trinity mapping of RGB and white grey scale picture will the trinity mapping of RGB sends to subpixel orientation module will white grey scale picture sends to luminance data acquisition module. The sub-pixel positioning module is used for carrying out RGB sub-pixel positioning by using a Demura algorithm according to the RGB three-in-one positioning diagram to obtain RGB three-channel sub-pixel positioning coordinates, and the RGB three-channel sub-pixel positioning coordinates are transmitted to the brightness data acquisition module. The brightness data acquisition module acquires standard brightness data of RGB three channels of a screen under the condition that the standard brightness data are not influenced by crosstalk, extracts RGBW three-channel sub-pixel brightness data of the white gray scale image by using a Demura algorithm according to the white gray scale image and the RGB three-channel sub-pixel positioning coordinates, and transmits the standard brightness data of the RGB three channels under the condition that the standard brightness data are not influenced by the crosstalk and the RGBW three-channel sub-pixel brightness data of the white gray scale image to the brightness calibration module. The brightness calibration module calibrates RGBW three-channel sub-pixel brightness data of the white gray scale image by using standard brightness data of the RGB three channels which are not influenced by crosstalk to obtain target RGB three-channel brightness data, and transmits the target RGB three-channel brightness data to the compensation restoration module. And the compensation repairing module performs compensation repairing on the screen according to the gamma response characteristic of the screen and the target RGB three-channel brightness data.

The invention also discloses a device for performing the Demura compensation based on the white picture, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the step of the method for performing the Demura compensation based on the white picture when executing the computer program.

According to the invention, the traditional RGB three-channel image acquisition is replaced by acquiring the RGB three-in-one positioning diagram and the white gray scale diagram, compared with the operation flow of the traditional Demura industry, the acquisition of 2/3 gray scale data by using an industrial camera is reduced, the 2/3 Demura operation beat is shortened, and the working efficiency is effectively improved. The method analyzes RGB sub-pixel positioning and RGB brightness data through the Demura algorithm, analyzes RGB three-channel data according to W, solves the problem of synthesis coefficient when RGB synthesizes W pictures, and improves Mura compensation capability such as color unevenness, thereby improving compensation precision and yield of Demura work stations. Compared with the traditional method, the method has simple process, reduces the requirement of the debugging process on the service capability of the operation operator, and can improve the working efficiency of the operator.

To further illustrate the beneficial effects of the present invention, in this embodiment, the W picture acquired by using the present invention as shown in fig. 5 is compared with the single-channel G picture acquired by using the conventional method as shown in fig. 6, and the comparison difference image is shown in fig. 7. Next, a G-picture luminance data map is extracted using the W picture shown in fig. 5, and the resultant screen display map is shown in fig. 8. As can be seen from fig. 5 to 8, the present invention can implement Demura compensation based on white pictures, and has good screen display effect, and can improve Mura compensation capability of color unevenness.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications of the invention may be made without departing from the scope of the invention.

Claims

1. A method for performing Demura compensation based on white pictures, comprising:

determining an RGB three-in-one positioning map and a white gray scale map to be acquired according to the screen resolution and the sub-pixel rendering, and acquiring the RGB three-in-one positioning map and the white gray scale map by using an industrial camera;

2. The method for Demura compensation based on white pictures according to claim 1, wherein: the RGB three-in-one positioning diagram and the white gray scale diagram to be acquired are determined according to the screen resolution and the sub-pixel rendering, and the method specifically comprises the following steps:

render up according to screen resolution and subpixel, combine the curved surface shape that waits to gather grey level sequence and screen to generate the trinity mapping of RGB and white grey level picture, the trinity mapping of RGB is the white picture, through the RGB trinity mapping separates the RGB three-colour.

3. The method for Demura compensation based on white pictures according to claim 1, wherein: RGB sub-pixel positioning is carried out according to the RGB three-in-one positioning diagram to obtain RGB three-channel sub-pixel positioning coordinates, which specifically comprises the following steps:

processing the RGB three-in-one positioning map to obtain a binary map, and performing morphological statistical processing on the binary map to obtain first-level feature information;

acquiring positioning coordinate information of the first-stage feature information, and acquiring positioning coordinates of the first-stage feature information at a corresponding position under a screen coordinate system;

4. The method for Demura compensation based on white pictures according to claim 3, wherein: and before the positioning coordinate information of the first-stage characteristic information is obtained, verifying the first-stage characteristic information.

5. The method for Demura compensation based on white pictures according to claim 3, wherein: and when the mapping relation between the positioning coordinate information of the first-stage characteristic information and the positioning coordinate of the corresponding position of the first-stage characteristic information in a screen coordinate system is established, a polynomial fitting method is used.

6. The method for Demura compensation based on white pictures according to claim 1, wherein: the method for acquiring the standard brightness data of the RGB three channels without being influenced by crosstalk specifically comprises the following steps:

7. The method for Demura compensation based on white pictures according to claim 1, wherein: calibrating RGBW three-channel sub-pixel brightness data of the white gray scale image by using the standard brightness data of the RGB three channels which are not influenced by crosstalk to obtain target RGB three-channel brightness data, which specifically comprises the following steps:

using a BP neural network to carry out calibration training on the standard brightness data of the RGB three channels which are not influenced by crosstalk and the RGBW three-channel sub-pixel brightness data of the white gray-scale image to obtain a calibration model,

8. The method for Demura compensation based on white pictures according to any of claims 1-7, wherein: the compensation restoration of the screen according to the gamma response characteristic of the screen and the target RGB three-channel brightness data specifically comprises the following steps:

establishing a mapping relation according to gamma response characteristics of a screen, and obtaining compensation values of sub-pixel points of the RGB three channels by combining the compensation brightness of the RGB three channels;

9. A system for performing Demura compensation based on white pictures is characterized in that: comprises a white gray-scale image acquisition module, a sub-pixel positioning module, a brightness data acquisition module, a brightness calibration module and a compensation restoration module,

the sub-pixel positioning module carries out RGB sub-pixel positioning according to the RGB three-in-one positioning graph to obtain RGB three-channel sub-pixel positioning coordinates, and the RGB three-channel sub-pixel positioning coordinates are transmitted to the brightness data acquisition module;

and the compensation repairing module performs compensation repairing on the screen according to the gamma response characteristic of the screen and the target RGB three-channel brightness data.

10. An apparatus for Demura compensation based on white pictures, characterized by: comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method for Demura compensation based on white pictures as claimed in any one of the claims 1-8 when executing the computer program.