Display screen Mura elimination method, device, computer equipment and storage medium

Abstract

The present application relates to a method, device, computer equipment and storage medium for eliminating Mura from a display screen. The method comprises: obtaining data to be processed of an AMOLED display screen; obtaining an initial compensation value corresponding to a target channel in the data to be processed based on the brightness difference of each pixel in the data to be processed; obtaining a ratio between the virtual brightness of all three channels and the actual brightness of a single channel being lit based on the data to be processed, and obtaining a brightness compensation weight corresponding to the target channel based on the ratio; obtaining brightness compensation data corresponding to the data to be processed based on the initial compensation value and the brightness compensation weight; the brightness compensation data is used to adjust the brightness of each pixel in the AMOLED display screen. The present method can be used to eliminate the Mura of the AMOLED screen by adding the ratio of the virtual brightness of all three channels to the actual brightness of only a single channel being lit, thereby eliminating the color deviation problem after Mura compensation.

Description

Technical Field

[0001] The present application relates to the field of display technology, and in particular to a method, device, computer equipment, storage medium and computer program product for eliminating Mura from a display screen. Background Art

[0002] AMOLED screens are composed of independent luminous sub-pixel devices. There are uncontrollable factors in the production of sub-pixel thin-film transistors (TFTs), such as Voled voltage changes, low-temperature polysilicon TFT threshold voltage and mobility non-uniformity, which leads to the Mura phenomenon of uneven brightness in the screen display area. The so-called Mura refers to the phenomenon of uneven brightness in various areas caused by uneven brightness of the display panel. By switching the display panel to a low grayscale screen in a dark room, and then looking at the display screen from various angles to see whether there is uneven brightness, it can be determined whether the display panel has Mura. This uneven brightness area can be horizontal stripes or forty-five degree stripes, it can be a very straight cut square, or it may appear in a corner. There is no specific regular shape. We usually call this uneven brightness display area a Mura area.

[0003] For the Mura area of ​​the display panel, the commonly used processing method is to obtain screen brightness information, detect Mura, and compensate the brightness of the Mura area to the ideal brightness. The existing method of calculating the ideal brightness of the Mura area is based on the Gamma value calculation method, which is to adjust the Gamma value setting of the Mura area to be consistent with the Gamma value setting of the normal area, so as to improve the uniformity of the panel and reduce the possibility of Mura being observed. However, due to the fact that the display panel itself has a certain degree of acceptable brightness unevenness during actual operation, the ideal brightness calculated by the Gamma value is generally applicable to the center point of the display panel, but the position of the Mura area is random, so the brightness of the normal area around the Mura area may not be equal to the brightness of the center point. Correcting Mura in this way may cause the brightness of the Mura area to be inconsistent with the trend of surrounding brightness changes, which will introduce new unevenness and cause color deviation problems after Mura compensation.

[0004] The current mura removal method has the problem of color shift. Summary of the invention

[0005] Based on this, it is necessary to provide a display screen Mura elimination method, device, computer equipment, computer readable storage medium and computer program product that can eliminate the color deviation problem after Mura compensation in order to solve the above technical problems.

[0006] In a first aspect, the present application provides a method for eliminating Mura from a display screen, comprising:

[0007] Get the data to be processed of the AMOLED display;

[0008] According to the brightness difference of each pixel in the data to be processed, an initial compensation value corresponding to the target channel in the data to be processed is obtained;

[0009] According to the data to be processed, the ratio between the virtual brightness of all three channels and the actual brightness of a single channel is obtained, and the brightness compensation weight corresponding to the target channel is obtained according to the ratio;

[0010] According to the initial compensation value and the brightness compensation weight, brightness compensation data corresponding to the data to be processed is obtained; the brightness compensation data is used to adjust the brightness of each pixel in the AMOLED display screen.

[0011] In one embodiment, obtaining the data to be processed of the AMOLED display screen includes:

[0012] Obtain image data to be displayed on the AMOLED display screen;

[0013] Gamma correction is performed on the image data to be displayed to obtain data to be processed.

[0014] In one embodiment, obtaining an initial compensation value corresponding to a target channel in the data to be processed according to a brightness difference of each pixel in the data to be processed includes:

[0015] According to the data to be processed, the original brightness data of the target channel is obtained;

[0016] The brightness difference of each pixel in the target channel is determined according to the original brightness data, and the initial value corresponding to the target channel is obtained according to the brightness difference of each pixel in the target channel.

[0017] In one embodiment, obtaining an initial value corresponding to the target channel according to a brightness difference of each pixel in the target channel includes:

[0018] According to the brightness difference of each pixel in the target channel, the standard brightness, standard gamma and standard grayscale corresponding to the target channel are determined;

[0019] According to the standard brightness, standard gamma and standard grayscale, the initial value corresponding to the target channel is obtained.

[0020] In one embodiment, obtaining an initial value corresponding to a target channel according to standard brightness, standard gamma, and standard grayscale includes:

[0021] The Demura algorithm is used to calculate the initial value corresponding to the target channel according to the standard brightness, standard gamma and standard grayscale.

[0022] In one embodiment, according to the data to be processed, the ratio relationship between the virtual brightness of all three channels and the actual brightness of a single channel is obtained, and the brightness compensation weight corresponding to the target channel is obtained according to the ratio relationship, including:

[0023] When all three channels are at the maximum grayscale, obtain the virtual brightness and the first color coordinates corresponding to the three channels;

[0024] When one channel is at the maximum grayscale and the other two channels are at the minimum grayscale, obtaining the second color coordinates corresponding to each channel;

[0025] According to the virtual brightness, the first color coordinates and the second color coordinates, obtain the maximum virtual brightness of the three channels, and according to the maximum virtual brightness of the three channels, obtain the first voltage values ​​corresponding to the three channels;

[0026] According to the voltage data corresponding to the three channels, when all the three channels are at the maximum gray scale, obtaining the second voltage values ​​corresponding to the three channels;

[0027] The brightness compensation weight corresponding to the target channel is obtained according to the first voltage values ​​and the second voltage values ​​corresponding to the three channels.

[0028] In one of the embodiments, obtaining the brightness compensation weight corresponding to the target channel according to the first voltage value and the second voltage value corresponding to the three channels includes:

[0029] Obtaining a reference difference value corresponding to each channel according to a difference value between a first voltage value and a second voltage value corresponding to each channel;

[0030] According to the reference difference values ​​corresponding to the three channels and the brightness compensation weights corresponding to the three channels, a relationship equation between the reference difference values ​​and the brightness compensation weights is constructed;

[0031] According to the relationship equation, the brightness compensation weights corresponding to the three channels are calculated to obtain the brightness compensation weight corresponding to the target channel.

[0032] In one embodiment, obtaining brightness compensation data corresponding to the data to be processed according to the initial compensation value and the brightness compensation weight includes:

[0033] According to the brightness compensation weight corresponding to the target channel, the initial compensation value is adjusted to obtain the brightness compensation value corresponding to the target channel;

[0034] According to the brightness compensation value corresponding to the target channel, the brightness compensation values ​​corresponding to the remaining two channels are obtained respectively;

[0035] The brightness compensation data is obtained according to the brightness compensation values ​​corresponding to the three channels.

[0036] In a second aspect, the present application also provides a display screen Mura elimination device, comprising:

[0037] An acquisition module is used to acquire the data to be processed of the AMOLED display screen;

[0038] A compensation module, used to obtain an initial compensation value corresponding to a target channel in the data to be processed according to a brightness difference of each pixel in the data to be processed;

[0039] A correction module is used to obtain the ratio between the virtual brightness of all three channels and the actual brightness of a single channel according to the data to be processed, and obtain the brightness compensation weight corresponding to the target channel according to the ratio;

[0040] The processing module is used to obtain brightness compensation data corresponding to the data to be processed according to the initial compensation value and the brightness compensation weight; the brightness compensation data is used to adjust the brightness of each pixel in the AMOLED display screen.

[0041] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0042] Get the data to be processed of the AMOLED display;

[0043] According to the brightness difference of each pixel in the data to be processed, an initial compensation value corresponding to the target channel in the data to be processed is obtained;

[0044] According to the data to be processed, the ratio between the virtual brightness of all three channels and the actual brightness of a single channel is obtained, and the brightness compensation weight corresponding to the target channel is obtained according to the ratio;

[0045] According to the initial compensation value and the brightness compensation weight, brightness compensation data corresponding to the data to be processed is obtained; the brightness compensation data is used to adjust the brightness of each pixel in the AMOLED display screen.

[0046] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0047] Get the data to be processed of the AMOLED display;

[0048] According to the brightness difference of each pixel in the data to be processed, an initial compensation value corresponding to the target channel in the data to be processed is obtained;

[0049] According to the data to be processed, the ratio between the virtual brightness of all three channels and the actual brightness of a single channel is obtained, and the brightness compensation weight corresponding to the target channel is obtained according to the ratio;

[0050] According to the initial compensation value and the brightness compensation weight, brightness compensation data corresponding to the data to be processed is obtained; the brightness compensation data is used to adjust the brightness of each pixel in the AMOLED display screen.

[0051] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0052] Get the data to be processed of the AMOLED display;

[0053] According to the brightness difference of each pixel in the data to be processed, an initial compensation value corresponding to the target channel in the data to be processed is obtained;

[0054] According to the data to be processed, the ratio between the virtual brightness of all three channels and the actual brightness of a single channel is obtained, and the brightness compensation weight corresponding to the target channel is obtained according to the ratio;

[0055] According to the initial compensation value and the brightness compensation weight, brightness compensation data corresponding to the data to be processed is obtained; the brightness compensation data is used to adjust the brightness of each pixel in the AMOLED display screen.

[0056] The above-mentioned display screen Mura elimination method, device, computer equipment, storage medium and computer program product obtain the data to be processed of the AMOLED display screen; obtain the initial compensation value corresponding to the target channel in the data to be processed according to the brightness difference of each pixel in the data to be processed; obtain the ratio relationship between the virtual brightness of all three channels and the actual brightness of a single channel lit according to the data to be processed, and obtain the brightness compensation weight corresponding to the target channel according to the ratio relationship; obtain the brightness compensation data corresponding to the data to be processed according to the initial compensation value and the brightness compensation weight; the brightness compensation data is used to adjust the brightness of each pixel in the AMOLED display screen. On the basis of eliminating the Mura of the AMOLED screen, the ratio relationship between the virtual brightness of all three channels and the actual brightness of only a single channel lit is added to eliminate the color deviation problem after Mura compensation. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0058] Figure 1 A diagram showing an application environment of a display screen Mura elimination method in one embodiment;

[0059] Figure 2 Schematic diagram of a process for eliminating Mura from a display screen in one embodiment;

[0060] Figure 3 A schematic diagram of a grayscale-brightness curve in one embodiment;

[0061] Figure 4 This is a structural block diagram of a display screen Mura elimination device in one embodiment;

[0062] Figure 5 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0064] The display screen Mura elimination method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal is provided with a Mura elimination module 102 and a display screen 104. The Mura elimination module 102 can be integrated in the display screen 106, or it can be an independent module connected to the display screen 106. The terminal can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. The portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc.

[0065] In an exemplary embodiment, Figure 2 As shown, a method for eliminating Mura from a display screen is provided, and the method is applied to Figure 1 The Mura elimination module 102 in FIG. 1 is taken as an example to illustrate, including the following steps 202 to 208. Among them:

[0066] Step 202, obtaining the data to be processed of the AMOLED display screen.

[0067] The data to be processed refers to the input data of the AMOLED display screen. For example, a 10-bit display panel uses a four-channel LVDS sending chip, and the input data has a total of: 18 RGB signals + 1 data enable signal + 1 horizontal synchronization signal + 1 vertical synchronization signal = 21 data input pins.

[0068] Optionally, the image data to be displayed is obtained from the input data of the AMOLED display screen, and the image data to be displayed is subjected to gamma correction to obtain the data to be processed. Gamma is due to the fact that the brightness that the human eye can recognize is not linearly related to the actual brightness. For a specified grayscale of 0-255, the collected brightness data is normalized. This is the response curve of the AMOLED display screen, such as Figure 3 As shown in the figure. In general, GAMMA is close to 2.2. If GAMMA is too large, the overall image will be darker and details will be lost in low grayscale scenes; if GAMMA is too small, the overall image will be brighter and the image layering will be biased.

[0069] Step 204 , obtaining an initial compensation value corresponding to a target channel in the data to be processed according to the brightness difference of each pixel in the data to be processed.

[0070] Among them, the target channel refers to any one of the three channels R, G, and B. The R channel is also called the red channel, the G channel is also called the green channel, and the B channel is also called the blue channel. For example, the target channel can be the green channel, that is, the G channel.

[0071] Optionally, according to the data to be processed, the original brightness data of the target channel is obtained, the brightness difference of each pixel in the target channel is determined according to the original brightness data, and the initial value corresponding to the target channel is obtained according to the brightness difference of each pixel in the target channel. The corresponding Demura algorithm can be directly used to calculate the Demura data to be compensated, and the Demura data contains the initial compensation value corresponding to the target channel.

[0072] Step 206, according to the data to be processed, obtain the ratio between the virtual brightness of all three channels and the actual brightness of a single channel being lit, and obtain the brightness compensation weight corresponding to the target channel according to the ratio.

[0073] Optionally, according to the data to be processed, the ratio of the virtual brightness of all three channels to the actual brightness of only one channel is measured, and the brightness compensation weights corresponding to each of the RGB channels are calculated according to the ratio relationship, so as to obtain the brightness compensation weight corresponding to the target channel.

[0074] Step 208, obtaining brightness compensation data corresponding to the data to be processed according to the initial compensation value and the brightness compensation weight; the brightness compensation data is used to adjust the brightness of each pixel in the AMOLED display screen.

[0075] Optionally, according to the initial compensation values ​​and brightness compensation weights corresponding to the three RGB channels, brightness compensation data corresponding to the three RGB channels are reallocated, and the brightness of each pixel in the AMOLED display is adjusted according to the reallocated brightness compensation data to eliminate the color deviation after Mura compensation.

[0076] In the above-mentioned display screen Mura elimination method, the data to be processed of the AMOLED display screen is obtained; according to the brightness difference of each pixel in the data to be processed, the initial compensation value corresponding to the target channel in the data to be processed is obtained; according to the data to be processed, the ratio relationship between the virtual brightness of all three channels and the actual brightness of a single channel is obtained, and the brightness compensation weight corresponding to the target channel is obtained according to the ratio relationship; according to the initial compensation value and the brightness compensation weight, the brightness compensation data corresponding to the data to be processed is obtained; the brightness compensation data is used to adjust the brightness of each pixel in the AMOLED display screen. And the color deviation problem after Mura compensation is eliminated by measuring the ratio relationship between the virtual brightness of all three channels and the actual brightness of only a single channel.

[0077] In one embodiment, according to the brightness difference of each pixel in the data to be processed, an initial compensation value corresponding to the target channel in the data to be processed is obtained, including: according to the data to be processed, obtaining the original brightness data of the target channel; determining the brightness difference of each pixel in the target channel according to the original brightness data; according to the brightness difference of each pixel in the target channel, determining the standard brightness, standard gamma and standard grayscale corresponding to the target channel; using the Demura algorithm, according to the standard brightness, standard gamma and standard grayscale, calculate the initial value corresponding to the target channel.

[0078] Optionally, the Demura algorithm generally takes the brightness of the central area as the standard brightness, and calculates the corresponding relationship curve between the brightness of the area and the grayscale. The three-channel original brightness data of the pixels on the screen are collected as R_pre, G_pre, and B_pre. The standard brightness of the central area is R_mid, G_mid, and B_mid, and the corresponding grayscale is Gray_mid. The standard gamma is gamma_mid. Taking the solution of the green channel as an example, the red and blue channels do not need to be solved. The calculation method of the Demura compensation value is:

[0079]

[0080] Where gamma is the gamma parameter of the compensated pixel, gamma_mid is the gamma parameter of the central area pixel, G_gray mid is the standard grayscale at a certain brightness in the center of the screen, G_gray is the grayscale at a certain brightness in the correction area, b1 and b2 are bias parameters, and the compensation value for the green sub-pixel is obtained by solving the above equation:

[0081]

[0082] Right now:

[0083] In this embodiment, according to the brightness difference of each pixel in the data to be processed, the initial compensation value corresponding to the target channel in the data to be processed can be obtained.

[0084] In one embodiment, according to the data to be processed, the ratio relationship between the virtual brightness of all three channels and the actual brightness of the lit single channel is obtained, and the brightness compensation weight corresponding to the target channel is obtained according to the ratio relationship, including: when all three channels are at the maximum grayscale, the virtual brightness and the first color coordinates corresponding to the three channels are obtained; when one channel is at the maximum grayscale and the other two channels are at the minimum grayscale, the second color coordinates corresponding to each channel are obtained; according to the virtual brightness, the first color coordinates and the second color coordinates, the maximum virtual brightness of the three channels are obtained, and the first voltage values ​​corresponding to the three channels are obtained according to the maximum virtual brightness of the three channels; according to the voltage data corresponding to the three channels, when all three channels are at the maximum grayscale, the second voltage values ​​corresponding to the three channels are obtained; according to the difference between the first voltage value and the second voltage value corresponding to each channel, the reference difference value corresponding to each channel is obtained; according to the reference difference value corresponding to the three channels and the brightness compensation weights corresponding to the three channels, a relationship equation between the reference difference value and the brightness compensation weight is constructed; according to the relationship equation, the brightness compensation weights corresponding to the three channels are calculated to obtain the brightness compensation weight corresponding to the target channel.

[0085] Optionally, calibrate the brightness w_lum and color coordinates (xw, yw) of the three RGB channels to the maximum grayscale. Calibrate the color coordinates (xr, yr), (xg, yg), (xb, yb) when one of the three channels is at the maximum grayscale and the others are at the minimum grayscale. Solve the maximum virtual brightness R_lum, G_lum, B_lum of the three channels according to the following matrix, and look up the gamma table to obtain the corresponding voltage values ​​V_R, V_G, V_B:

[0086]

[0087] Calibrate the gamma voltage values ​​vmax_R, V_max_G, and v_max_B at the maximum grayscale of the RGB three channels. Solve W_R, W_G, W_B according to the following matrix:

[0088]

[0089] Finally normalize to W_R+W_G+W_B=256.

[0090] In this embodiment, on the basis of eliminating the Mura of the AMOLED screen, the ratio relationship between the virtual brightness of all three channels and the actual brightness of only one channel is added, and the brightness compensation weight corresponding to the target channel is obtained according to the ratio relationship.

[0091] In one embodiment, brightness compensation data corresponding to the data to be processed is obtained according to the initial compensation value and the brightness compensation weight, including: adjusting the initial compensation value according to the brightness compensation weight corresponding to the target channel to obtain the brightness compensation value corresponding to the target channel; according to the brightness compensation value corresponding to the target channel, respectively obtaining the brightness compensation values ​​corresponding to the remaining two channels; according to the brightness compensation values ​​corresponding to the three channels, obtaining the brightness compensation data.

[0092] Optionally, since the luminous efficiency of the three RGB sub-pixels is different, the weights for calculating the average current of the screen are Wr, Wg, and Wb, and Wr+Wg+Wb=1. According to the solved W_R, W_G, W_B, and the calculated three-channel compensation value The method to reallocate the brightness compensation value is:

[0093]

[0094]

[0095] Among them, when solving a fixed grayscale (such as 32, 64, 96, 128, etc.), R = G = B, and the brightness compensation values ​​of the red channel and the blue channel are re-calculated according to the above formula:

[0096] For pixel Mura compensation at any point on the screen, considering the color deviation after compensation, the brightness compensation values ​​of the three channels are calculated as follows:

[0097] In this embodiment, the brightness compensation values ​​of the three channels are recalculated according to the brightness compensation weights, and the brightness of each pixel in the AMOLED display is adjusted, thereby eliminating the color cast problem after Mura compensation.

[0098] In one embodiment, a method for eliminating Mura from a display screen includes:

[0099] The image data to be displayed of the AMOLED display screen is obtained; and the image data to be displayed is subjected to gamma correction to obtain the data to be processed.

[0100] According to the data to be processed, the original brightness data of the target channel is obtained; the brightness difference of each pixel in the target channel is determined according to the original brightness data; according to the brightness difference of each pixel in the target channel, the standard brightness, standard gamma and standard grayscale corresponding to the target channel are determined; the Demura algorithm is used to calculate the initial value corresponding to the target channel according to the standard brightness, standard gamma and standard grayscale.

[0101] When all three channels are at the maximum grayscale, obtain the virtual brightness and the first color coordinates corresponding to the three channels; when one channel is at the maximum grayscale and the other two channels are at the minimum grayscale, obtain the second color coordinates corresponding to each channel; according to the virtual brightness, the first color coordinates and the second color coordinates, obtain the maximum virtual brightness of the three channels, and obtain the first voltage values ​​corresponding to the three channels according to the maximum virtual brightness of the three channels; according to the voltage data corresponding to the three channels, when all three channels are at the maximum grayscale, obtain the second voltage values ​​corresponding to the three channels; according to the difference between the first voltage value and the second voltage value corresponding to each channel, obtain the reference difference value corresponding to each channel; according to the reference difference value corresponding to the three channels and the brightness compensation weights corresponding to the three channels, construct a relationship equation between the reference difference value and the brightness compensation weight; according to the relationship equation, calculate the brightness compensation weights corresponding to the three channels to obtain the brightness compensation weight corresponding to the target channel.

[0102] According to the brightness compensation weight corresponding to the target channel, the initial compensation value is adjusted to obtain the brightness compensation value corresponding to the target channel; according to the brightness compensation value corresponding to the target channel, the brightness compensation values ​​corresponding to the remaining two channels are obtained respectively; according to the brightness compensation values ​​corresponding to the three channels, the brightness compensation data is obtained. The brightness compensation data is used to adjust the brightness of each pixel in the AMOLED display.

[0103] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0104] Based on the same inventive concept, the embodiment of the present application also provides a display mura elimination device for implementing the display mura elimination method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more display mura elimination device embodiments provided below can refer to the limitations of the display mura elimination method above, and will not be repeated here.

[0105] In an exemplary embodiment, Figure 4As shown, a display screen Mura elimination device 400 is provided, comprising: an acquisition module 401, a compensation module 402, a correction module 403 and a processing module 404, wherein:

[0106] An acquisition module 401 is used to acquire the data to be processed of the AMOLED display screen;

[0107] The compensation module 402 is used to obtain an initial compensation value corresponding to a target channel in the data to be processed according to the brightness difference of each pixel in the data to be processed;

[0108] The correction module 403 is used to obtain the ratio between the virtual brightness of all three channels and the actual brightness of a single channel according to the data to be processed, and obtain the brightness compensation weight corresponding to the target channel according to the ratio;

[0109] The processing module 404 is used to obtain brightness compensation data corresponding to the data to be processed according to the initial compensation value and the brightness compensation weight; the brightness compensation data is used to adjust the brightness of each pixel in the AMOLED display screen.

[0110] In one embodiment, the acquisition module 401 is further used to acquire image data to be displayed on the AMOLED display screen; and perform gamma correction on the image data to be displayed to obtain data to be processed.

[0111] In one embodiment, the compensation module 402 is also used to obtain original brightness data of the target channel based on the data to be processed; determine the brightness difference of each pixel in the target channel based on the original brightness data, and obtain the initial value corresponding to the target channel based on the brightness difference of each pixel in the target channel.

[0112] In one embodiment, the compensation module 402 is also used to determine the standard brightness, standard gamma and standard grayscale corresponding to the target channel according to the brightness difference of each pixel in the target channel; and obtain the initial value corresponding to the target channel according to the standard brightness, standard gamma and standard grayscale.

[0113] In one embodiment, the compensation module 402 is further configured to use a Demura algorithm to calculate an initial value corresponding to the target channel according to standard brightness, standard gamma, and standard grayscale.

[0114] In one embodiment, the correction module 403 is also used to obtain the virtual brightness and the first color coordinates corresponding to the three channels when all three channels are at the maximum grayscale; to obtain the second color coordinates corresponding to each channel when one channel is at the maximum grayscale and the other two channels are at the minimum grayscale; to obtain the maximum virtual brightness values ​​of the three channels based on the virtual brightness, the first color coordinates and the second color coordinates, and to obtain the first voltage values ​​corresponding to the three channels based on the maximum virtual brightness values ​​of the three channels; to obtain the second voltage values ​​corresponding to the three channels based on the voltage data corresponding to the three channels when all three channels are at the maximum grayscale; and to obtain the brightness compensation weight corresponding to the target channel based on the first voltage values ​​and the second voltage values ​​corresponding to the three channels.

[0115] In one embodiment, the correction module 403 is also used to obtain a reference difference value corresponding to each channel based on the difference between the first voltage value and the second voltage value corresponding to each channel; construct a relationship equation between the reference difference value and the brightness compensation weight based on the reference difference values ​​corresponding to the three channels and the brightness compensation weights corresponding to the three channels; and calculate the brightness compensation weights corresponding to the three channels based on the relationship equation to obtain the brightness compensation weight corresponding to the target channel.

[0116] In one embodiment, the processing module 404 is also used to adjust the initial compensation value according to the brightness compensation weight corresponding to the target channel to obtain the brightness compensation value corresponding to the target channel; according to the brightness compensation value corresponding to the target channel, respectively obtain the brightness compensation values ​​corresponding to the remaining two channels; according to the brightness compensation values ​​corresponding to the three channels, obtain brightness compensation data.

[0117] Each module in the above-mentioned display screen Mura elimination device can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0118] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 5As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless method can be implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for eliminating Mura of a display screen is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0119] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0120] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the following steps when executing the computer program: obtaining data to be processed of an AMOLED display screen; obtaining an initial compensation value corresponding to a target channel in the data to be processed based on a brightness difference of each pixel in the data to be processed; obtaining a ratio relationship between a virtual brightness of all three channels and an actual brightness of a single channel being lit based on the data to be processed, and obtaining a brightness compensation weight corresponding to the target channel based on the ratio relationship; obtaining brightness compensation data corresponding to the data to be processed based on the initial compensation value and the brightness compensation weight; the brightness compensation data is used to adjust the brightness of each pixel in the AMOLED display screen.

[0121] In one embodiment, when the processor executes the computer program, the following steps are further implemented: acquiring image data to be displayed on the AMOLED display screen; performing gamma correction on the image data to be displayed to obtain data to be processed.

[0122] In one embodiment, when the processor executes the computer program, the following steps are also implemented: according to the data to be processed, the original brightness data of the target channel is obtained; according to the original brightness data, the brightness difference of each pixel in the target channel is determined, and according to the brightness difference of each pixel in the target channel, the initial value corresponding to the target channel is obtained.

[0123] In one embodiment, when the processor executes the computer program, the following steps are also implemented: according to the brightness difference of each pixel in the target channel, the standard brightness, standard gamma and standard grayscale corresponding to the target channel are determined; according to the standard brightness, standard gamma and standard grayscale, the initial value corresponding to the target channel is obtained.

[0124] In one embodiment, when the processor executes the computer program, the following steps are further implemented: using the Demura algorithm, according to the standard brightness, standard gamma and standard grayscale, an initial value corresponding to the target channel is calculated.

[0125] In one embodiment, the processor also implements the following steps when executing the computer program: when all three channels are at the maximum grayscale, obtain the virtual brightness and the first color coordinates corresponding to the three channels; when one channel is at the maximum grayscale and the other two channels are at the minimum grayscale, obtain the second color coordinates corresponding to each channel; according to the virtual brightness, the first color coordinates and the second color coordinates, obtain the maximum virtual brightness of the three channels, and obtain the first voltage values ​​corresponding to the three channels according to the maximum virtual brightness of the three channels; according to the voltage data corresponding to the three channels, when all three channels are at the maximum grayscale, obtain the second voltage values ​​corresponding to the three channels; according to the first voltage values ​​and the second voltage values ​​corresponding to the three channels, obtain the brightness compensation weight corresponding to the target channel.

[0126] In one embodiment, when the processor executes the computer program, the following steps are also implemented: according to the difference between the first voltage value and the second voltage value corresponding to each channel, a reference difference corresponding to each channel is obtained; according to the reference difference values ​​corresponding to the three channels and the brightness compensation weights corresponding to the three channels, a relationship equation between the reference difference values ​​and the brightness compensation weights is constructed; according to the relationship equation, the brightness compensation weights corresponding to the three channels are calculated to obtain the brightness compensation weight corresponding to the target channel.

[0127] In one embodiment, when the processor executes the computer program, the following steps are also implemented: according to the brightness compensation weight corresponding to the target channel, the initial compensation value is adjusted to obtain the brightness compensation value corresponding to the target channel; according to the brightness compensation value corresponding to the target channel, the brightness compensation values ​​corresponding to the remaining two channels are respectively obtained; according to the brightness compensation values ​​corresponding to the three channels, the brightness compensation data is obtained.

[0128] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: obtaining data to be processed of an AMOLED display screen; obtaining an initial compensation value corresponding to a target channel in the data to be processed according to a brightness difference of each pixel in the data to be processed; obtaining a ratio relationship between a virtual brightness of all three channels and an actual brightness of a single channel being lit according to the data to be processed, and obtaining a brightness compensation weight corresponding to the target channel according to the ratio relationship; obtaining brightness compensation data corresponding to the data to be processed according to the initial compensation value and the brightness compensation weight; the brightness compensation data is used to adjust the brightness of each pixel in the AMOLED display screen.

[0129] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: acquiring image data to be displayed on the AMOLED display screen; performing gamma correction on the image data to be displayed to obtain data to be processed.

[0130] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: according to the data to be processed, the original brightness data of the target channel is obtained; according to the original brightness data, the brightness difference of each pixel in the target channel is determined, and according to the brightness difference of each pixel in the target channel, the initial value corresponding to the target channel is obtained.

[0131] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: based on the brightness difference of each pixel in the target channel, the standard brightness, standard gamma and standard grayscale corresponding to the target channel are determined; based on the standard brightness, standard gamma and standard grayscale, the initial value corresponding to the target channel is obtained.

[0132] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: using the Demura algorithm, according to the standard brightness, standard gamma and standard grayscale, an initial value corresponding to the target channel is calculated.

[0133] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: when all three channels are at the maximum grayscale, the virtual brightness and the first color coordinates corresponding to the three channels are obtained; when one channel is at the maximum grayscale and the other two channels are at the minimum grayscale, the second color coordinates corresponding to each channel are obtained; based on the virtual brightness, the first color coordinates and the second color coordinates, the maximum virtual brightness values ​​of the three channels are obtained, and based on the maximum virtual brightness values ​​of the three channels, the first voltage values ​​corresponding to the three channels are obtained; based on the voltage data corresponding to the three channels, when all three channels are at the maximum grayscale, the second voltage values ​​corresponding to the three channels are obtained; based on the first voltage values ​​and the second voltage values ​​corresponding to the three channels, the brightness compensation weight corresponding to the target channel is obtained.

[0134] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: based on the difference between the first voltage value and the second voltage value corresponding to each channel, a reference difference corresponding to each channel is obtained; based on the reference difference values ​​corresponding to the three channels and the brightness compensation weights corresponding to the three channels, a relationship equation between the reference difference values ​​and the brightness compensation weights is constructed; based on the relationship equation, the brightness compensation weights corresponding to the three channels are calculated to obtain the brightness compensation weight corresponding to the target channel.

[0135] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: according to the brightness compensation weight corresponding to the target channel, the initial compensation value is adjusted to obtain the brightness compensation value corresponding to the target channel; according to the brightness compensation value corresponding to the target channel, the brightness compensation values ​​corresponding to the remaining two channels are respectively obtained; according to the brightness compensation values ​​corresponding to the three channels, the brightness compensation data is obtained.

[0136] In one embodiment, a computer program product is provided, including a computer program, which implements the following steps when executed by a processor: obtaining data to be processed of an AMOLED display screen; obtaining an initial compensation value corresponding to a target channel in the data to be processed according to a brightness difference of each pixel in the data to be processed; obtaining a ratio relationship between a virtual brightness of all three channels and an actual brightness of a single channel being lit according to the data to be processed, and obtaining a brightness compensation weight corresponding to the target channel according to the ratio relationship; obtaining brightness compensation data corresponding to the data to be processed according to the initial compensation value and the brightness compensation weight; the brightness compensation data is used to adjust the brightness of each pixel in the AMOLED display screen.

[0137] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: acquiring image data to be displayed on the AMOLED display screen; performing gamma correction on the image data to be displayed to obtain data to be processed.

[0138] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: according to the data to be processed, the original brightness data of the target channel is obtained; according to the original brightness data, the brightness difference of each pixel in the target channel is determined, and according to the brightness difference of each pixel in the target channel, the initial value corresponding to the target channel is obtained.

[0139] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: based on the brightness difference of each pixel in the target channel, the standard brightness, standard gamma and standard grayscale corresponding to the target channel are determined; based on the standard brightness, standard gamma and standard grayscale, the initial value corresponding to the target channel is obtained.

[0140] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: using the Demura algorithm, according to the standard brightness, standard gamma and standard grayscale, an initial value corresponding to the target channel is calculated.

[0141] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: when all three channels are at the maximum grayscale, the virtual brightness and the first color coordinates corresponding to the three channels are obtained; when one channel is at the maximum grayscale and the other two channels are at the minimum grayscale, the second color coordinates corresponding to each channel are obtained; based on the virtual brightness, the first color coordinates and the second color coordinates, the maximum virtual brightness values ​​of the three channels are obtained, and based on the maximum virtual brightness values ​​of the three channels, the first voltage values ​​corresponding to the three channels are obtained; based on the voltage data corresponding to the three channels, when all three channels are at the maximum grayscale, the second voltage values ​​corresponding to the three channels are obtained; based on the first voltage values ​​and the second voltage values ​​corresponding to the three channels, the brightness compensation weight corresponding to the target channel is obtained.

[0142] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: based on the difference between the first voltage value and the second voltage value corresponding to each channel, a reference difference corresponding to each channel is obtained; based on the reference difference values ​​corresponding to the three channels and the brightness compensation weights corresponding to the three channels, a relationship equation between the reference difference values ​​and the brightness compensation weights is constructed; based on the relationship equation, the brightness compensation weights corresponding to the three channels are calculated to obtain the brightness compensation weight corresponding to the target channel.

[0143] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: according to the brightness compensation weight corresponding to the target channel, the initial compensation value is adjusted to obtain the brightness compensation value corresponding to the target channel; according to the brightness compensation value corresponding to the target channel, the brightness compensation values ​​corresponding to the remaining two channels are respectively obtained; according to the brightness compensation values ​​corresponding to the three channels, the brightness compensation data is obtained.

[0144] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0145] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0146] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0147] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for eliminating Mura from a display screen, characterized in that: The method comprises: Get the data to be processed of the AMOLED display; According to the data to be processed, original brightness data of a target channel is acquired; the target channel is any one of three channels, and the three channels include a red channel, a green channel, and a blue channel; Determine the brightness difference of each pixel in the target channel according to the original brightness data, and obtain an initial compensation value corresponding to the target channel according to the brightness difference of each pixel in the target channel; According to the data to be processed, a ratio relationship between the virtual brightness of all three channels and the actual brightness of a single channel being lit is obtained, and a brightness compensation weight corresponding to the target channel is obtained according to the ratio relationship; wherein, obtaining the brightness compensation weight corresponding to the target channel according to the ratio relationship is: calculating the brightness compensation weights corresponding to the red channel, the green channel and the blue channel respectively according to the ratio relationship, and obtaining the brightness compensation weight corresponding to the target channel; According to the initial compensation value and the brightness compensation weight, brightness compensation data corresponding to the data to be processed is obtained; the brightness compensation data is used to adjust the brightness of each pixel in the AMOLED display screen; wherein, according to the initial compensation value and the brightness compensation weight, the brightness compensation data corresponding to the data to be processed is obtained: according to the initial compensation value and the brightness compensation weight corresponding to each of the red channel, the green channel and the blue channel, the brightness compensation data corresponding to each of the three channels are reallocated.

2. The method according to claim 1, characterized in that The step of obtaining the data to be processed of the AMOLED display screen includes: Acquire image data to be displayed on the AMOLED display screen; Gamma correction is performed on the image data to be displayed to obtain the data to be processed.

3. The method according to claim 1, characterized in that The obtaining the initial compensation value corresponding to the target channel according to the brightness difference of each pixel in the target channel includes: Determining a standard brightness, a standard gamma, and a standard grayscale corresponding to the target channel according to a brightness difference of each pixel in the target channel; The initial compensation value corresponding to the target channel is acquired according to the standard brightness, the standard gamma and the standard grayscale.

4. The method according to claim 3, characterized in that The acquiring the initial compensation value corresponding to the target channel according to the standard brightness, the standard gamma and the standard grayscale includes: The initial compensation value corresponding to the target channel is calculated by using a Demura algorithm according to the standard brightness, the standard gamma and the standard grayscale.

5. The method according to claim 1, characterized in that The step of obtaining, according to the data to be processed, a ratio relationship between virtual brightness of all three channels and actual brightness of a single channel being lit, and obtaining a brightness compensation weight corresponding to the target channel according to the ratio relationship includes: When all three channels are at the maximum grayscale, obtaining the virtual brightness and the first color coordinates corresponding to the three channels; When one channel is at the maximum grayscale and the other two channels are at the minimum grayscale, obtaining the second color coordinates corresponding to each channel; According to the virtual brightness, the first color coordinates and the second color coordinates, obtaining virtual brightness maximum values ​​of the three channels, and obtaining first voltage values ​​corresponding to the three channels according to the virtual brightness maximum values ​​of the three channels; According to the voltage data corresponding to the three channels, when all the three channels are at the maximum gray scale, obtaining the second voltage values ​​corresponding to the three channels; The brightness compensation weight corresponding to the target channel is obtained according to the first voltage values ​​and the second voltage values ​​corresponding to the three channels.

6. The method according to claim 5, characterized in that The step of obtaining the brightness compensation weight corresponding to the target channel according to the first voltage values ​​and the second voltage values ​​corresponding to the three channels includes: Obtaining a reference difference value corresponding to each channel according to a difference value between a first voltage value and a second voltage value corresponding to each channel; According to the reference difference values ​​corresponding to the three channels and the brightness compensation weights corresponding to the three channels, a relationship equation between the reference difference values ​​and the brightness compensation weights is constructed; According to the relationship equation, the brightness compensation weights corresponding to the three channels are calculated to obtain the brightness compensation weight corresponding to the target channel.

7. The method according to claim 1, characterized in that The acquiring, according to the initial compensation value and the brightness compensation weight, brightness compensation data corresponding to the data to be processed comprises: According to the brightness compensation weight corresponding to the target channel, the initial compensation value is adjusted to obtain the brightness compensation value corresponding to the target channel; According to the brightness compensation value corresponding to the target channel, respectively obtain the brightness compensation values ​​corresponding to the remaining two channels; The brightness compensation data is obtained according to the brightness compensation values ​​corresponding to the three channels.

8. A display screen Mura elimination device, characterized in that: The device comprises: An acquisition module is used to acquire the data to be processed of the AMOLED display screen; A compensation module is used to obtain original brightness data of a target channel according to the data to be processed; the target channel is any one of three channels, and the three channels include a red channel, a green channel, and a blue channel; determine the brightness difference of each pixel in the target channel according to the original brightness data, and obtain an initial compensation value corresponding to the target channel according to the brightness difference of each pixel in the target channel; A correction module is used to obtain, according to the data to be processed, a ratio relationship between the virtual brightness of all three channels and the actual brightness of a single channel being lit, and obtain a brightness compensation weight corresponding to the target channel according to the ratio relationship; wherein, the brightness compensation weight corresponding to the target channel according to the ratio relationship is obtained by calculating the brightness compensation weights corresponding to the red channel, the green channel and the blue channel according to the ratio relationship, and obtaining the brightness compensation weight corresponding to the target channel A processing module, used for obtaining brightness compensation data corresponding to the data to be processed according to the initial compensation value and the brightness compensation weight; the brightness compensation data is used to adjust the brightness of each pixel in the AMOLED display screen; wherein, obtaining the brightness compensation data corresponding to the data to be processed according to the initial compensation value and the brightness compensation weight is: according to the initial compensation value and the brightness compensation weight corresponding to the red channel, the green channel and the blue channel, respectively, the brightness compensation data corresponding to the three channels are reallocated.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

11. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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