Defect compensation method of display panel, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a defect compensation method and device for a display panel, electronic equipment and a storage medium. According to the method, compensation data corresponding to a defect category is acquired in response to the defect category of the display panel under at least one luminous intensity, the compensation data comprises a plurality of compensation parameters, each compensation parameter corresponds to one luminous intensity, and the plurality of compensation parameters are written into the display panel. The Mura compensation method and the Mura compensation device are used for performing defect compensation on the display panel under different luminous intensities, so that the brightness of the display panel can be quickly adjusted, the brightness of the display panel under different luminous intensities is more uniform, and the accuracy of Mura compensation is improved while the display effect of the display panel is improved.

Description

Technical Field

[0001] The present application relates to the field of display technologies, and particularly to a method for compensating defects of a display panel, an electronic device, and a storage medium. Background Art

[0002] Mura originally means "non-uniform" or "flaw", and specifically refers to various trace phenomena caused by non-uniform brightness of a display in the display industry. It usually appears as dark spots, bright spots, or stripes on the screen. These defects will weaken the viewing experience and may even affect the device function. Therefore, before leaving the factory, the display panel needs to perform DeMura, that is, Mura compensation, to improve the image quality of the display panel. Summary of the Invention

[0003] Aiming at the deficiencies of the prior art, the present application provides a method for compensating defects of a display panel, an electronic device, and a storage medium, which can quickly adjust the brightness of the display panel, make the brightness of the display panel more uniform under different luminous intensities, and improve the efficiency of Mura compensation while achieving the improvement of the display effect of the display panel.

[0004] In a first aspect, the present application provides a method for compensating defects of a display panel, which includes:

[0005] In response to the defect category of the display panel at at least one luminous intensity, obtaining compensation data corresponding to the defect category; wherein, the compensation data includes a plurality of compensation parameters, and each compensation parameter corresponds to a luminous intensity;

[0006] Writing the plurality of compensation parameters into the display panel to compensate for the defects of the display panel under different luminous intensities.

[0007] In a second aspect, an embodiment of the present application further provides an electronic device, including a memory storing a plurality of instructions; a processor loads the instructions from the memory to execute the method for compensating defects of the display panel provided in the first aspect.

[0008] In a third aspect, an embodiment of the present application further provides a computer-readable storage medium, the computer-readable storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor to execute the method for compensating defects of the display panel provided in the first aspect.

[0009] In a fourth aspect, an embodiment of the present application further provides a computer program product, including a computer program or instructions, and the computer program or instructions are executed by a processor to perform the method for compensating defects of the display panel provided in the first aspect.

[0010] In the defect compensation method of the display panel provided in this application, by responding to the defect categories of the display panel at at least one emission intensity, compensation data corresponding to the defect categories is obtained. The compensation data includes a plurality of compensation parameters, and each compensation parameter corresponds to an emission intensity. Then, the plurality of compensation parameters are written into the display panel to perform defect compensation on the display panel at different emission intensities, so that the brightness of the display panel can be adjusted quickly, making the brightness of the display panel more uniform at different emission intensities. While improving the display effect of the display panel, the accuracy of Mura compensation is also improved. Description of the Drawings

[0011] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of this application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0012] Figure 1 The first flowchart of the defect compensation method of the display panel provided in this application;

[0013] Figure 2 The second flowchart of the defect compensation method of the display panel provided in this application;

[0014] Figure 3 The third flowchart of the defect compensation method of the display panel provided in this application;

[0015] Figure 4 The fourth flowchart of the defect compensation method of the display panel provided in this application;

[0016] Figure 5 The fifth flowchart of the defect compensation method of the display panel provided in this application;

[0017] Figure 6 The sixth flowchart of the defect compensation method of the display panel provided in this application;

[0018] Figure 7 The seventh flowchart of the defect compensation method of the display panel provided in this application;

[0019] Figure 8 The schematic block diagram of the defect compensation device of the display panel provided in this application;

[0020] Figure 9 The schematic block diagram of the electronic device provided in this application. Detailed Description of the Embodiments

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts shall fall within the protection scope of the present application.

[0022] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0023] It should also be understood that the terms used in the specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the specification of the present application and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms.

[0024] It should be further understood that the term "and / or" used in the specification of the present application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0025] In addition, in the present application, unless otherwise clearly specified or limited in the embodiments, the terms "installed", "connected", "coupled", and "fixed" and the like in the embodiments should be understood in a broad sense. For example, the connection can be a fixed connection, a detachable connection, or an integral one. It can be understood that it can also be a mechanical connection, an electrical connection, etc.; of course, it can also be directly connected, or indirectly connected through an intermediate medium, or it can be the communication inside two elements, or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to the specific implementation situations.

[0026] In the present application, the display panel can be a display panel of the AMOLED (Active-matrix organic Light-Emitting Diode) type or the OLED (Organic Light-Emitting Diode) type, etc., and can be produced as the display screen of a smart phone, the screen of a smart wearable device, the display screen of a tablet or a notebook computer, etc.

[0027] In the related art, such as Figure 1As shown, in the Demura technology, before performing Mura compensation on the display panel, when the display panel is displaying an image, the driving circuit can light up the display panel, and after displaying a specific test image, an optical device (such as an industrial camera) is used to take a picture to collect the display image of the display panel. Then, the collected image is analyzed for display defects manually to determine the compensation brightness and compensation coefficient for defect compensation of the display panel. Based on the determined compensation brightness (Offset) and compensation coefficient (Gain), compensation data for the display panel is generated, and the write code is repaired. The repaired write code can be burned into the display panel in the form of a file. Finally, the display panel is inspected to determine whether the repair is completed. If the repair fails, that is, the inspection fails (NG), the optical device (such as an industrial camera) needs to be used again to take a picture to perform Mura compensation again. If the repair is successful, that is, the inspection is okay (OK), it can be determined that the defect compensation of the display panel is completed.

[0028] When using the Demura technology to analyze the display defects of the collected image, manual defect analysis not only has low efficiency, but also when different types of Mura (such as bright spots, dark spots, color patches, linear Mura, etc.) appear, the compensation data needs to be rewritten again, further resulting in low efficiency of defect compensation for the display panel, and it is extremely prone to errors, greatly affecting the production efficiency and production capacity of the display panel.

[0029] As Figure 2 shown, to improve the defect compensation efficiency of the display panel, this application uses Auto Demura (Automatic Mura Compensation Technology). After using an optical device (such as an industrial camera) to collect the display image of the display panel, it can automatically classify the display panel based on the collected display image. Then, according to the classified display defect categories, the compensation data (including, but not limited to, compensation brightness and compensation coefficient) for defect compensation of the display panel is directly obtained and written into the display panel. Finally, the display panel is inspected to determine whether the repair is completed. If the repair fails, that is, the inspection fails (NG), the optical device (such as an industrial camera) needs to be used again to take a picture to reclassify the display panel, and based on the reclassified results, the corresponding compensation data is generated, and the write code is repaired again. The repaired write code can be burned into the display panel in the form of a file to replace the previously written compensation data, so as to realize the repair of the display panel using the repaired write code. If the repair is successful, that is, the inspection is okay (OK), it can be determined that the defect compensation of the display panel is completed.

[0030] The inventor obtained through on-site test data analysis that when using the Figure 1 provided Demura technology for defect compensation, the failure rate of defect compensation is compared with that of using Figure 2The failure rate of defect compensation using the provided Auto Demura technology is significantly reduced. Therefore, the automatic Mura compensation technology using Figure 2 can quickly adjust the brightness of the display panel, making the brightness of the display panel more uniform. While improving the display effect of the display panel, it also improves the efficiency of Mura compensation.

[0031] The defect compensation method for the display panel provided in the embodiments of the present application can be applied to a terminal device and is executed through an application software installed in the terminal device. Among them, the terminal device can be a desktop computer, a laptop computer, a tablet computer, a mobile phone, etc.

[0032] The following will elaborate on the defect compensation method for the display panel provided in the present application.

[0033] It should be noted that the application scenarios described in the embodiments of the present application below are for more clearly explaining the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art know that with the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are equally applicable to similar technical problems.

[0034] As Figure 3 shown, the method includes the following steps S110 to S120.

[0035] S110. In response to the defect categories of the display panel at at least one luminous intensity, obtain compensation data corresponding to the defect categories; wherein, the compensation data includes a plurality of compensation parameters, and each compensation parameter corresponds to a luminous intensity;

[0036] S120. Write the plurality of compensation parameters into the display panel to perform defect compensation on the display panel at different luminous intensities.

[0037] In the present application, the defect category can be understood as the display defect category after defect classification of the picture displayed by the display panel at a certain luminous intensity. The defect categories of the display panel at each luminous intensity can be the same or different. The luminous intensity can be characterized by nits (nit), and nit represents the luminous intensity per unit area and is a physical quantity used to describe the strength of light emission (or reflection) on the surface of a light-emitting body (or reflective body).

[0038] In this embodiment, in the process of responding to the defect categories of the display panel at at least one luminous intensity, after responding to the defect categories of the display panel at a certain luminous intensity or multiple luminous intensities, the compensation data corresponding to the defect categories can be obtained, that is, the compensation parameters of the display panel at each luminous intensity.

[0039] Specifically, after the present application responds to the defect category of the display panel at a certain light-emitting intensity, it can default that the display panel has this defect category at each light-emitting intensity. Furthermore, it can obtain the compensation parameters of the display panel at each light-emitting intensity based on this defect category, and write multiple compensation parameters into the display panel to perform defect compensation on the display panel at different light-emitting intensities. At the same time, in order to improve the accuracy of defect compensation of the display panel, the present application can, after responding to the defect categories of the display panel at multiple light-emitting intensities, respectively obtain the compensation parameters at each light-emitting intensity based on the defect category corresponding to each light-emitting intensity, and write multiple compensation parameters into the display panel to perform defect compensation on the display panel at different light-emitting intensities.

[0040] Among them, each compensation parameter can correspond one-to-one with the defect category and the light-emitting intensity, that is, when the display panel has a display defect of a certain defect category at a certain light-emitting intensity, there is a corresponding compensation parameter. Writing this compensation parameter into the display panel can perform defect compensation on the display panel at this light-emitting intensity.

[0041] In some embodiments, at least one light-emitting intensity includes a first light-emitting intensity, and the display panel has a first defect category corresponding to the first light-emitting intensity.

[0042] As Figure 4 shown, before step S110, steps S210 and S220 are further included.

[0043] S131. Collect the single-color channel image displayed by the display panel at the first light-emitting intensity to obtain at least one grayscale image;

[0044] S132. Classify the display defects of the display panel at the first light-emitting intensity based on the grayscale image to obtain the first defect category.

[0045] In this embodiment, the single-color channel image can be understood as the image information of the display panel when displaying a single color (such as basic colors like red, green, blue, etc.), and it can be one of a red image, a green image, and a blue image.

[0046] Specifically, after the present application collects the single-color channel image displayed by the display panel at the first light-emitting intensity, it converts the single-color channel image into a grayscale image to facilitate subsequent rapid analysis of the display defects of the display panel. Specifically, it can analyze features such as the brightness distribution and gray value change of the pixels in the grayscale image to classify the display defects of the display panel, so as to determine which category the display defects of the display panel at the first light-emitting intensity belong to, such as a certain area being too bright, too dark, or having uneven brightness, etc.

[0047] Among them, the first defect category of the display panel at the first light emission intensity can be obtained by processing the single-color channel image displayed by the display panel. The single-color channel images corresponding to the two processes can be the same or different, which can be selected according to actual applications, and the present application does not make specific limitations.

[0048] Furthermore, after determining the display defect category of the display panel at the first light emission intensity, compensation data for defect compensation of the display panel at the first light emission intensity can be obtained and written into the display panel. Among them, the compensation data can be burned into the display panel in the form of code. The compensation data can be pre-designed according to different display defect categories. After being written into the display panel, it can adjust the brightness of the display panel, thereby improving the display effect.

[0049] For example, for a certain locally dim area, compensation data for increasing the brightness output value of the pixels in this area can be used; for the case of uneven brightness, corresponding compensation data can be used according to the degree and mode of unevenness to adjust the brightness of different areas, and thus the brightness of the entire display panel can be made more uniform.

[0050] In some embodiments, at least one grayscale image includes at least one of a first grayscale image, a second grayscale image, and a third grayscale image; the single-color channel images displayed by the display panel include a red image, a green image, and a blue image corresponding to the first grayscale image, the second grayscale image, and the third grayscale image respectively.

[0051] In step S210, a black-and-white camera can be used to capture the red image, green image, and blue image displayed by the display panel respectively to obtain a first grayscale image, a second grayscale image, and a third grayscale image.

[0052] In this embodiment, at least one grayscale image includes at least one of a first grayscale image, a second grayscale image, and a third grayscale image, and the grayscale image corresponds to the single-color channel image displayed by the display panel. Among them, the single-color channel images displayed by the display panel can be a red image, a green image, and a blue image respectively. The red image can correspond to the first grayscale image, the green image can correspond to the second grayscale image, and the blue image can correspond to the third grayscale image.

[0053] Specifically, in the process of collecting the single-color channel images displayed by the display panel at the first light emission intensity to obtain at least one grayscale image, a black-and-white camera can be specifically used to capture the red image, green image, and blue image displayed by the display panel at the first light emission intensity respectively.

[0054] Taking a display panel with a specific display mode as an example, when the display panel displays a red image at the first light-emitting intensity, a black-and-white camera can capture the red image displayed by the display panel at the first light-emitting intensity. Due to the light perception characteristics of the black-and-white camera, the captured image can obtain a first grayscale image corresponding to the red image after being processed. Similarly, for the green image and the blue image, the present application can also obtain a second grayscale image and a third grayscale image through the shooting of the black-and-white camera, and thus can accurately obtain the grayscale image information related to different color channels, providing basic data for subsequent operations such as display defect classification of the display panel at the first light-emitting intensity.

[0055] At the same time, since the brightness performance of different color channels in the display panel and their influences on the overall display defects are different, the present application uses a black-and-white camera to respectively obtain the grayscale images corresponding to the single-color channel images displayed by the display panel at the first light-emitting intensity, which helps to more accurately analyze and process the display defects of the display panel at the first light-emitting intensity.

[0056] In some embodiments, the grayscale image is the first grayscale image or the second grayscale image or the third grayscale image; the single-color channel images displayed by the display panel at the first light-emitting intensity include a red image, a green image, and a blue image respectively corresponding to the first grayscale image, the second grayscale image, and the third grayscale image.

[0057] As Figure 5 shown, step S220 includes steps S221 and S222.

[0058] S221. Perform image fusion on the first grayscale image, the second grayscale image, and the third grayscale image to generate a target image;

[0059] S222. Based on the target image, classify the display defects of the display panel to obtain a first defect category.

[0060] Specifically, in the process of using the grayscale image to classify the display defects of the display panel at the first light-emitting intensity, the present application specifically involves performing image fusion on the first grayscale image, the second grayscale image, and the third grayscale image to generate a target image, and then classifying the target image. By identifying the category of the target image, the defect category of the display panel at the first light-emitting intensity is determined, so as to achieve the purpose of classifying the display defects of the display panel at the first light-emitting intensity.

[0061] In this embodiment, the first grayscale image, the second grayscale image, and the third grayscale image respectively correspond to the single-color channel images displayed by the display panel at the first light-emitting intensity, that is, the first grayscale image, the second grayscale image, and the third grayscale image respectively correspond to the red image, the green image, and the blue image. The first grayscale image, the second grayscale image, and the third grayscale image respectively represent the grayscale information corresponding to different color channels. If only one of the first grayscale image, the second grayscale image, and the third grayscale image corresponding to the red image, the green image, and the blue image is used for defect classification, it may be difficult to effectively identify defects such as bright dots, dark dots, bright spots, and dark spots on the display panel. By fusing the first grayscale image, the second grayscale image, and the third grayscale image, a target image containing more comprehensive brightness information can be obtained, and based on the target image for display defect classification, the defect categories of the display panel at the first light-emitting intensity can be determined more comprehensively and accurately. For example, by analyzing features such as the overall brightness distribution and brightness gradient in the target image, it can be judged whether it is a local brightness problem or the brightness non-uniformity of the entire panel.

[0062] In some embodiments, the target image can specifically be a white screen image. By using the white screen image to perform display defect detection on the display panel at the first light-emitting intensity, the brightness distribution of the display panel can be accurately known, and the brightness non-uniformity on the screen can be clearly observed, such as the abnormal light emission or non-light emission of pixel points. Furthermore, it can be found whether there are local over-bright or over-dark areas on the display panel, thereby helping to quickly locate and identify defects on the screen, and further being able to effectively identify defects such as bright dots, dark dots, bright spots, and dark spots on the screen.

[0063] In some embodiments, in step S221, the first grayscale image, the second grayscale image, and the third grayscale image can be respectively subjected to dimension expansion to obtain a first expanded image, a second expanded image, and a third expanded image; then, the first expanded image, the second expanded image, and the third expanded image are merged in channels to obtain the target image.

[0064] In this embodiment, the first grayscale image, the second grayscale image, and the third grayscale image may respectively correspond to the red image, the green image, and the blue image displayed by the display panel at the first light-emitting intensity. The first grayscale image, the second grayscale image, and the third grayscale image are all grayscale images separately captured by a black-and-white camera. There will also be certain characteristic differences in the image data among the first grayscale image, the second grayscale image, and the third grayscale image. At the same time, in the red image, the green image, and the blue image, the widths of their respective channel data are different, which further results in different widths of the channel data of the first grayscale image, the second grayscale image, and the third grayscale image. If the channel merging is directly performed, it may lead to information loss or insufficient fusion, and at the same time, it may not be possible to accurately combine the information of the three channels in the expected manner.

[0065] For example, when performing some brightness analysis or defect detection based on the merged image, if the previous channel merging is inaccurate, the subsequent analysis results will deviate. Moreover, after the first grayscale image, the second grayscale image, and the third grayscale image are dimensionally expanded and then channel merged, it can better reflect the brightness characteristics of the display panel at the first light-emitting intensity in different color channels, providing more comprehensive and accurate data for the final display defect classification.

[0066] Therefore, in the process of image fusion of the first grayscale image, the second grayscale image, and the third grayscale image in this application, it is necessary to perform dimensional expansion on the first grayscale image, the second grayscale image, and the third grayscale image to ensure that the first grayscale image, the second grayscale image, and the third grayscale image can be fused into the target image required by this application, such as a white screen image.

[0067] Specifically, by performing dimensional expansion on the first grayscale image, the second grayscale image, and the third grayscale image in this application, different grayscale images can be better matched and fused when performing channel merging. Taking the first grayscale image as an example, assuming that the original pixel size of the first grayscale image is a certain size, the distribution of its pixels can be increased through dimensional expansion, and the same is true for the second grayscale image and the third grayscale image. For example, if the number of pixels of the original grayscale image in a certain direction is small, the number of pixels in this direction can be increased after dimensional expansion, making the information of the image more abundant.

[0068] Meanwhile, after dimensionally expanding the first grayscale image, the second grayscale image, and the third grayscale image respectively to obtain a first expanded image, a second expanded image, and a third expanded image, channel merging is performed on the first expanded image, the second expanded image, and the third expanded image, so that the information of different grayscale images can be combined together according to certain rules. Specifically, the first expanded image, the second expanded image, and the third expanded image can be fused into an image with three channels, that is, the target image can be a white screen image with three-channel data, which contains the comprehensive grayscale information processed from different color channels, thereby providing a more complete data basis for the display defect classification of the subsequent display panel, and further facilitating the accurate analysis of the display defects of the display panel under the first light emission intensity.

[0069] In some embodiments, dimensionally expanding the first grayscale image, the second grayscale image, and the third grayscale image respectively to obtain a first expanded image, a second expanded image, and a third expanded image includes: expanding the width and height of each pixel in the first grayscale image and the third grayscale image to twice the original pixel to obtain the first expanded image and the third expanded image; expanding the height of each pixel in the second grayscale image to twice the original pixel to obtain the second expanded image.

[0070] In this embodiment, the first grayscale image, the second grayscale image, and the third grayscale image can respectively correspond to the red image, the green image, and the blue image displayed by the display panel under the first light emission intensity. The channel data width of the green image is twice that of the red image and the blue image. Therefore, during the process of dimensional expansion of the first grayscale image and the second grayscale image, the width and height of the first grayscale image and the third grayscale image can be expanded to twice the original, specifically, the width and height of each pixel in the first grayscale image and the third grayscale image can be expanded to twice the original pixel, and then the first expanded image corresponding to the first grayscale image and the second expanded image corresponding to the second grayscale image can be obtained.

[0071] Meanwhile, the second grayscale image also needs to be dimensionally expanded. During the process of dimensional expansion, the height of the second grayscale image can be expanded to twice the original, specifically, the height of each pixel in the second grayscale image can be expanded to twice the original pixel, so that on the basis of not destroying the data structure of the channels of the second grayscale image itself, it can be better adapted to the first expanded image and the third expanded image in the subsequent channel merging operation.

[0072] In terms of the physical meaning of data, the channel data of the green image often has special importance in the brightness performance of the display panel. Since the human eye is more sensitive to green, the brightness information of the green image occupies an important position in the overall display effect and brightness analysis. By expanding the height of each pixel in the second grayscale image to twice the original pixel, the present application can increase the information density in the vertical direction while maintaining the continuity of the horizontal direction information of the second grayscale image channel, so that the brightness of the display panel can be more accurately reflected after channel merging.

[0073] Exemplarily, a pixel in the first grayscale image is R1, a pixel in the second grayscale image is G1, and a pixel in the third grayscale image is B1. After dimension expansion of the first grayscale image, the second grayscale image, and the third grayscale image respectively, both pixel R1 and pixel B1 become pixels of 2*2 size, and pixel G1 becomes a pixel of 1*2 size, which can be: and Furthermore, the first expanded image, the second expanded image, and the third expanded image can be respectively represented by for characterization.

[0074] In some embodiments, channel merging is performed on the first expanded image, the second expanded image, and the third expanded image to obtain a target image, including: in the direction of the pixel row, pixel grouping is respectively performed on the first expanded image, the second expanded image, and the third expanded image to respectively obtain a plurality of first pixel groups, a plurality of second pixels, and a plurality of third pixel groups corresponding to the first expanded image, the second expanded image, and the third expanded image; the number of pixels in the first pixel group, the second pixel group, and the third pixel group is a multiple of 2; each first pixel group is sequentially merged with the corresponding second pixel group and third pixel group to obtain the target image.

[0075] Specifically, in the process of channel merging the first expanded image, the second expanded image, and the third expanded image in the present application, in the direction of the pixel row, pixel grouping is respectively performed on the first expanded image, the second expanded image, and the third expanded image. Specifically, the first expanded image, the second expanded image, and the third expanded image can be sequentially grouped by two pixels in the direction of the pixel row to respectively obtain a plurality of first pixel groups, a plurality of second pixel groups, and a plurality of third pixel groups corresponding to the first expanded image, the second expanded image, and the third expanded image, and then each first pixel group is sequentially merged with the corresponding second pixel group and third pixel group to obtain the target image.

[0076] Taking 1*2 pixel size data as an example, if the first pixel group, the second pixel group, and the third pixel group are respectively characterized as The merging forms of the first pixel group, the second pixel group, and the third pixel group can be: (R1, R1) + (B1, B1) + (G1, G2) -> (R1, G1, B1) + (G1, G2, B1), and thus the pixels in the target image can be represented by the following pixel combination method. Here, -> is used to represent a certain transformation, change, derivation, mapping, or causal relationship. For example, "from point A -> point B" means from point A to point B.

[0077] In this embodiment, by sequentially merging each first pixel group with the corresponding second pixel group and third pixel group, the originally scattered channel information can be integrated into a new pixel structure. From the perspective of defect compensation, the target image obtained after merging contains information from different color channels, and the display defects of the display panel can often be accurately judged only after comprehensively considering the performance of each color channel. Therefore, adopting the channel merging technology provided in this application can more comprehensively reflect the brightness situation of the display panel.

[0078] For example, in the display panel, the brightness of a certain area in the red channel may be normal, but there is a brightness change in the same area in the green channel. After the target image is obtained through the channel merging technology provided in this application, in the subsequent image analysis process, it can more accurately detect whether there are display defects in this area.

[0079] In some embodiments, based on the target image, the display defects of the display panel are classified to obtain a first defect category, including: performing gray-scale processing on the target image to obtain the target gray-scale image of the target image; performing gradient feature analysis on the target gray-scale image to classify the display defects of the display panel and obtain the first defect category.

[0080] Specifically, in the process of classifying the display defects of the display panel at the first emission intensity based on the target image, the target image can be first subjected to gray-scale processing to obtain the target gray-scale image of the target image. The gray-scale processing of the target image can be to convert the pixel information in the target image into a gray-scale value form that is more convenient for analyzing display defects.

[0081] Among them, in the process of classifying the display defects of the display panel based on the target image, gradient feature analysis can be performed on the target gray-scale image to classify the display defects of the display panel at the first emission intensity and obtain the first defect category.

[0082] For example, each pixel in the target image may contain multiple color-related information. Through grayscale processing, it can be converted into a single grayscale value, which can more intuitively reflect the brightness of the pixel. Among them, the target image can be converted into a grayscale image using the following formula: Gray = R * 0.299 + G * 0.587 + B * 0.114, where R, G, and B are the brightness values of each channel in the target image respectively.

[0083] At the same time, after performing grayscale processing on the target image to obtain the target grayscale image of the target image, gradient feature analysis can be performed on the target grayscale image to classify display defects of the display panel under the first emission intensity to obtain the first defect category.

[0084] Among them, gradient feature analysis can be understood as determining the defect category by analyzing the change trend of pixel grayscale values in the target grayscale image, and then it can be determined whether the display defect of the display panel is local or overall, whether it is brighter or darker, etc.

[0085] For example, in the target grayscale image, if the pixel grayscale value in a certain area suddenly changes from one value to another, forming a large gradient, it may mean that there is an uneven brightness situation in this area, which may be a manufacturing defect or a display control problem in this area of the display panel.

[0086] In some embodiments, performing gradient feature analysis on the target grayscale image to classify display defects of the display panel to obtain the first defect category includes: dividing the target grayscale image into grids and calculating the grid grayscale mean value to obtain the grayscale data of each grid; based on the grayscale data of each grid, performing gradient feature analysis on the target grayscale image to classify display defects of the display panel to obtain the first defect category.

[0087] Specifically, in the process of performing gradient feature analysis on the target grayscale image in the present application, the target grayscale image can be divided into grids and the grid grayscale mean value can be calculated to obtain the grayscale data of each grid. Among them, the grayscale data can be understood as the grayscale mean value of each grid. Dividing the target grayscale image into grids can specifically divide the target grayscale image into multiple small grid areas.

[0088] For example, it can be divided into grids with a size of 9 * 15, that is, 9 rows and 15 columns, which can be understood as dividing a large image map into multiple small square areas, and then the grayscale mean value representing the overall brightness situation of this small grid area can be calculated for each grid area.

[0089] Furthermore, after obtaining the grayscale data of each grid, the change in grayscale values, that is, the gradient situation, can be determined by comparing the average grayscale values of adjacent grids. If the difference in the average grayscale values of adjacent grids is large, it indicates that there is a large brightness change between these two grids, which may be a manifestation of a display defect. Then, through the gradient analysis of the average grayscale values of all grids in the entire target grayscale image, the defect category of the display panel under the first emission intensity can be determined. For example, whether it is a sudden brightness change in a certain local area or uneven brightness gradual change in the entire panel, etc.

[0090] Among them, in the process of performing gradient feature analysis on the target grayscale image based on the grayscale data of each grid to classify the display defects of the display panel, gradient feature analysis can be performed on the target grayscale image based on the grayscale data of each grid to classify the display defects of the display panel under the first emission intensity, and the first defect category can be obtained.

[0091] In some embodiments, in order to more accurately classify the display defects of the display panel, before the target grayscale image is divided into grids, contrast enhancement is also required, which can make the Mura of the display panel more obvious and widen the gap in the severity of Mura.

[0092] Among them, the contrast enhancement of the target grayscale image can be specifically implemented using the CLAHE algorithm. CLAHE (Contrast Limited Adaptive Histogram Equalization) is an algorithm for image enhancement, aiming to improve the contrast of the image while avoiding over-enhancing noise or details.

[0093] Specifically, in the process of performing contrast enhancement on the target grayscale image using the CLAHE algorithm, the target grayscale image can be divided into non-overlapping small blocks of the same size. Then, the histogram of each small block is calculated, and according to the clip limit parameter, the number of pixels with too high grayscale levels in the histogram is limited, and the excess pixels are redistributed. Then, the histogram of each small block is equalized to make the pixel distribution more uniform. Finally, the equalization results of each small block are merged through bilinear interpolation, and the target grayscale image after contrast enhancement can be obtained.

[0094] In some embodiments, gradient feature analysis is performed on the target grayscale image based on the grayscale data of each grid, including: in the horizontal direction, calculating the grayscale difference between two adjacent grids according to the grayscale data to obtain the gradient value between two adjacent grids in each row; in the vertical direction, sorting the gradient values of each column, specifically, sorting them from large to small, and taking the preset first quantity of gradient values as the vertical feature of the display panel. The first quantity can be 10% of the total number of gradient values, but is not limited thereto.

[0095] It can be understood that in this application, the gradient value can also be calculated first based on the vertical direction, and then the gradient value can be sorted based on the horizontal direction to obtain the preset second quantity of gradient values, and the second quantity of gradient values can be used as the horizontal feature of the display panel. The second quantity can be 10% of the total number of gradient values, but is not limited thereto.

[0096] In some embodiments, gradient feature analysis is performed on the target grayscale image based on the grayscale data of each grid, including: calculating the grayscale difference between two adjacent grids based on the grayscale data of each grid to obtain the gradient value between two adjacent grids; determining the light and dark features of each area of the display panel according to the preset target gradient value and the gradient value between two adjacent grids.

[0097] In some embodiments, gradient feature analysis is performed on the target grayscale image based on the grayscale data of each grid, including: calculating the gradient difference of each grid based on the grayscale data of each grid and the target gradient value; determining whether the gradient difference of each grid is within the preset gradient threshold range. If it is within the range, it is normal; if it is not within the range, it is determined whether the area where the corresponding grid is located is brighter or darker.

[0098] Among them, when calculating the gradient difference of each grid based on the grayscale data of each grid and the target gradient value, specifically, the grayscale value in the grayscale data of each grid can be subtracted from the target gradient value to obtain the gradient difference of each grid, and then it is calculated whether the gradient difference of each grid is less than within the preset gradient threshold range to determine the light and dark features of each area of the display panel.

[0099] In addition, when classifying display defects of the display panel in this application, the grayscale image collected by the black and white camera can also be directly used for display defect classification, which mainly involves the situation where there is magnetic plate Mura in a specific monochromatic gray scale and the white image is invisible. Specifically, the adjacent frequency amplitude method can be used for classification of specific frequencies to achieve display defect classification of the display panel.

[0100] Among them, magnetic plate Mura refers to the phenomenon of uneven brightness or color caused by material or process problems in the display panel (such as LCD or OLED), especially obvious at specific gray scales.

[0101] Specifically, in the process of classifying the grayscale image collected by the black-and-white camera according to the adjacent frequency amplitude to a specific frequency, specifically through Fourier transform or wavelet transform, the image can be transformed from the spatial domain to the frequency domain, and its spectral distribution can be analyzed, and then the display defects of the display panel can be classified. For example, high-frequency Mura may be manifested as fine texture unevenness, while low-frequency Mura may be manifested as large-area brightness unevenness.

[0102] In some embodiments, at least one luminous intensity further includes a second luminous intensity, and the display panel corresponds to a second defect category at the second luminous intensity.

[0103] As Figure 6 shown, step S110 includes steps S111 and S112.

[0104] S111. Determine the compensation brightness and compensation coefficient for defect compensation of the display panel according to the second defect category;

[0105] S112. Generate the compensation parameters required for the display panel at the second luminous intensity according to the compensation brightness and compensation coefficient.

[0106] Specifically, in the process of obtaining the second compensation data for defect compensation of the display panel based on the second defect category and writing it into the display panel, the compensation brightness and compensation coefficient for defect compensation of the display panel can be determined in advance according to the second defect category.

[0107] For example, if it is determined that a certain area of the display panel is darker, the compensation brightness value to be increased is determined according to the degree of darkness, and the compensation coefficient is determined according to factors such as the characteristics of the display panel and the range of brightness adjustment. Then, the compensation parameters required for the display panel at the second luminous intensity are generated according to the compensation brightness and compensation coefficient, and the compensation parameters required for the display panel at the second luminous intensity are written into the display panel.

[0108] In some embodiments, the display panel includes a plurality of pixel units, at least one luminous intensity further includes a third luminous intensity, the display panel corresponds to a third defect category at the third luminous intensity, the third defect category includes at least one subcategory, each pixel unit corresponds to a subcategory, and the compensation parameters of the display panel at the third luminous intensity include at least one compensation value corresponding to the subcategory.

[0109] In this embodiment, the defect compensation of the display panel can specifically perform defect compensation on the pixel units in the display panel.

[0110] In the process of classifying defects of the display panel at the third emission intensity, the defects of each pixel unit in the display panel can be classified to obtain the defects of each pixel unit, that is, sub-categories. The defect category of the display panel at the third emission intensity, that is, the third defect category, can be determined through the defects of each pixel unit. At the same time, each defect of a pixel unit corresponds to a compensation value, which can form the compensation parameters of the display panel at the third emission intensity. By writing the compensation value of each pixel unit at the third emission intensity into the display panel, the defect compensation of the display panel at the third emission intensity can be performed.

[0111] In some embodiments, at least one sub-category includes a first sub-category and a second sub-category, and the compensation value corresponding to the first sub-category is different from the compensation value corresponding to the second sub-category.

[0112] In the present application, the defect category of the display panel at a certain emission intensity can be composed of multiple sub-categories, such as a first sub-category and a second sub-category. Each sub-category corresponds to a compensation value, and the compensation values between the sub-categories are different. Thus, corresponding compensation can be performed on different defects existing in each pixel unit of the display panel to achieve uniform compensation for the pixel units at a certain emission intensity.

[0113] Furthermore, in some embodiments, in obtaining the compensation data of the display panel at at least one emission intensity, the compensation value corresponding to each pixel unit at the third emission intensity can be determined according to the sub-category corresponding to each pixel unit; according to the compensation value corresponding to each pixel unit at the third emission intensity, the compensation parameters corresponding to the third defect category are generated.

[0114] In the present application, in the process of classifying display defects of the display panel, specifically, the image displayed by the display panel can be segmented into multiple sub-images, each sub-image corresponds to a pixel unit, and then each sub-image can be classified separately to classify the display defects of each pixel unit, and then the sub-category corresponding to each pixel unit can be obtained. After that, the compensation value corresponding to each pixel unit can be determined, and the compensation coefficient required for the display panel at the third emission intensity can be generated according to the compensation value corresponding to each pixel unit.

[0115] In some embodiments, at least one emission intensity further includes a fourth emission intensity. As Figure 7 shown, the defect compensation method of the display panel further includes steps S310, S320, S330, and S340.

[0116] S310. In response to the fourth defect category of the display panel at the fourth emission intensity, determine the compensation parameters corresponding to the fourth defect category from a preset defect compensation relationship table;

[0117] S320. Write the compensation parameters corresponding to the fourth defect category into the display panel to perform defect compensation on the image of the display panel at the fourth light emission intensity;

[0118] S330. In response to the first compensation result of the display panel at the fourth light emission intensity, classify the display defects of the display panel to obtain the fifth defect category of the display panel at the fourth light emission intensity;

[0119] S340. Generate compensation parameters corresponding to the fifth defect category, and write the compensation parameters corresponding to the fifth defect category into the display panel to perform defect compensation on the image of the display panel at the fourth light emission intensity.

[0120] In the application, the defects existing in the display panel may be brightness defects. The fourth defect category can be understood as the brightness defect category after the first defect classification of the image displayed by the display panel at the fourth light emission intensity. The fifth defect category can be understood as the brightness defect category after the display defects of the display panel are classified again on the basis of the fourth defect category. The fifth defect category can be understood as adding a sub - category to the fourth defect category. Among them, the sub - category can be understood as the situation of over - brightness, under - brightness or uneven brightness in a certain display area of the display panel.

[0121] Specifically, the defect compensation relationship table mentioned in this application can be understood as a mapping relationship table between defect categories and compensation data. Specifically, it can be understood that one sub - category corresponds to one compensation value, and this compensation value can be configured to perform brightness compensation on a certain display area of the display panel.

[0122] Among them, the display area can be understood as one or more pixel units of the display panel, and the pixel unit can be understood as one pixel of the display panel.

[0123] At the same time, the first compensation result mentioned in this application can be understood as the information that the display panel fails to repair the display defects after one - time brightness compensation. It can be characterized by the instruction to re - classify the display defects generated after manual detection, or can be characterized by the result after detection by a detection device. Its specific implementation method can be selected according to actual applications, and this application does not make specific limitations.

[0124] In some embodiments, after writing the compensation parameters corresponding to the fourth defect category into the display panel to perform defect compensation on the image of the display panel at the fourth light emission intensity, it further includes: in response to the second compensation result of the display panel at the fourth light emission intensity, generate the information that the defect compensation of the image of the display panel at the fourth light emission intensity is successful.

[0125] In this application, the second compensation result can be understood as the information that the display panel successfully repairs the display defect after one brightness compensation. Before compensating for the display defect of the display panel at the fourth emission intensity in this application, the defect categories existing in the display panel at each emission intensity can be determined in advance, and then a defect compensation relationship table can be constructed based on this category.

[0126] Furthermore, the display panel at the fourth emission intensity can be defect-classified based on the defect categories existing in the display panel, so as to determine the fourth defect category of the display panel from the defect categories existing in the display panel. Then, the compensation coefficient corresponding to the fourth defect category can be determined from the defect compensation relationship table based on the fourth defect category, and the compensation coefficient can be written into the display panel to compensate for the defect of the display panel. After that, wafer sorting can be performed to determine whether the display panel is successfully repaired. If the first compensation result is displayed, the number of defect categories of the display panel needs to be increased again, and the parameters for defect-classifying the display panel are adjusted to defect-classify the display panel at the fourth emission intensity again. Then, the fifth defect category of the display panel at the fourth emission intensity can be obtained. After that, the corresponding compensation coefficient can be generated based on the fifth defect category and written into the display panel to compensate for the defect of the display panel at the fourth emission intensity. After that, wafer sorting is performed again. If the first compensation result is displayed again, the above steps are continued to be repeated until the repair is successful; if the second compensation result is displayed, the repair of the next display panel can be continued on the basis of adjusting the parameters for defect-classifying the display panel, which can not only achieve mass production repair of the display panel, but also significantly improve the efficiency of subsequent display panel repair, greatly improving the efficiency of mass production repair of the display panel.

[0127] It should be noted that the images displayed by the display panels corresponding to the fourth defect category and the fifth defect category can be collected by at least one of a black-and-white industrial camera or a color camera, which can be selected according to actual applications, and this application does not make specific limitations.

[0128] At the same time, in this application, both the compensation coefficient corresponding to the fourth defect category and the compensation coefficient corresponding to the fifth defect category can be composed of a compensation coefficient and a compensation brightness. In the repair effect of the display panel by the compensation coefficient corresponding to the fourth defect category and the compensation coefficient corresponding to the fifth defect category, the repair effect of the compensation coefficient corresponding to the fifth defect category is better than that of the compensation coefficient corresponding to the fourth defect category.

[0129] The compensation coefficients corresponding to the fourth defect category and the fifth defect category can correspond to two display panels respectively. Only one of the two display panels has a greater display defect. Therefore, the compensation coefficient corresponding to the fifth defect category needs to be used for defect compensation.

[0130] Among them, after the compensation coefficients corresponding to the fourth defect category and the fifth defect category are written into the corresponding display panels respectively, the display parameters of the display panels can be adjusted, so as to compensate for the brightness.

[0131] For example, for a darker area corresponding to the fourth defect category, the compensation coefficient corresponding to the fourth defect category can adjust parameters such as the voltage or current of a certain area of the display panel, so that the brightness of this area increases to an appropriate level, improving the overall display effect of the display panel; for a brighter area corresponding to the fifth defect category, the compensation coefficient corresponding to the fifth defect category can also adjust parameters such as the voltage or current of a certain area of the display panel, so that the brightness of this area increases to an appropriate level, improving the overall display effect of the display panel. Among them, the numerical values of the two parameter adjustments are different.

[0132] In addition, after the compensation coefficients corresponding to the fourth defect category and the fifth defect category are written into the display panel respectively, the display parameters of the display panel can be adjusted in the following way: Gray_out = Gray_in + k * Offset * Gain, where Gray_out is the gray scale value output after the display panel performs defect compensation, Gray_in is the gray scale value output before the display panel performs defect compensation, k * Offset * Gain is the compensation data, Offset is the compensation brightness, Gain is the compensation coefficient, and k is a constant.

[0133] In some embodiments, the display panel includes a plurality of pixel units. Both the fourth defect category and the fifth defect category include at least one sub-category. Each pixel unit corresponds to a sub-category, and there is at least one different sub-category between the fourth defect category and the fifth defect category.

[0134] In this embodiment, the fourth defect category can be understood as the brightness defect category after the image displayed by the display panel at the fourth luminous intensity is classified for the first time. The fifth defect category can be understood as the brightness defect category after the display defect classification is performed again on the basis of the fourth defect category. That is, the fifth defect category can be understood as adding a sub-category to the fourth defect category. Furthermore, there is at least one different sub-category between the fourth defect category and the fifth defect category, and at the same time, the number of sub-categories in the fifth defect category is less than the number of sub-categories in the fourth defect category.

[0135] In some embodiments, the display panel defect compensation method further includes: updating the defect compensation relation table based on the fourth light emission intensity, the fifth defect category, and the compensation parameter corresponding to the fifth defect category.

[0136] Specifically, in this application, the defect compensation relation table is updated by using the fourth light emission intensity, the fifth defect category, and the compensation parameter corresponding to the fifth defect category. Subsequently, during the repair process of the display defects of the display panel, the compensation data required by the display panel can be quickly determined, thereby making the brightness of the display panel more uniform while improving the repair efficiency of the display defects of the display panel.

[0137] In addition, it should be noted that the first defect category, the second defect category, the third defect category, the fourth defect category, and the fifth defect category mentioned in this application may be the same or different, and they can be selected according to actual applications. This application does not make specific limitations.

[0138] It should also be noted that the first light emission intensity, the second light emission intensity, the third light emission intensity, and the fourth light emission intensity may be the same or different, and they can be selected according to actual applications. This application does not make specific limitations.

[0139] In the display panel defect compensation method provided in this application, by responding to the defect category of the display panel at at least one light emission intensity, the compensation data corresponding to the defect category is obtained. The compensation data includes multiple compensation parameters, and each compensation parameter corresponds to one light emission intensity. Then, the multiple compensation parameters are written into the display panel to perform defect compensation on the display panel at different light emission intensities, thereby quickly adjusting the brightness of the display panel and making the brightness of the display panel more uniform at different light emission intensities. While improving the display effect of the display panel, the accuracy of Mura compensation is also improved.

[0140] An embodiment of this application also provides a display panel defect compensation device 400, which is used to execute any embodiment of the foregoing display panel defect compensation method.

[0141] Specifically, please refer to Figure 8 , Figure 8 which is a schematic block diagram of the display panel defect compensation device 400 provided in this application.

[0142] As Figure 8 shown, the display panel defect compensation device 400 includes: an acquisition unit 410 and a writing unit 420.

[0143] An acquisition unit 410, configured to acquire compensation data corresponding to a defect category in response to the defect category of the display panel at at least one emission intensity; wherein the compensation data includes a plurality of compensation parameters, and each compensation parameter corresponds to an emission intensity; A writing unit 420, configured to write the plurality of compensation parameters into the display panel to perform defect compensation on the display panel at different emission intensities.

[0144] Among them, the acquisition unit 410, the writing unit 420 and other functional units can be respectively used to execute the steps S110-S120 of the foregoing method embodiment. For the specific implementation details of these functional units, reference can be made to the content of the corresponding method step embodiment, which will not be elaborated here.

[0145] The defect compensation device 400 for a display panel provided in an embodiment of the present application acquires compensation data corresponding to a defect category in response to the defect category of the display panel at at least one emission intensity. The compensation data includes a plurality of compensation parameters, and each compensation parameter corresponds to an emission intensity. Then, the plurality of compensation parameters are written into the display panel to perform defect compensation on the display panel at different emission intensities, so that the brightness of the display panel can be quickly adjusted, making the brightness of the display panel more uniform at different emission intensities. While improving the display effect of the display panel, the accuracy of Mura compensation is also improved.

[0146] It should be noted that those skilled in the art can clearly understand that the specific implementation processes of the foregoing defect compensation device 400 for a display panel and each unit can refer to the corresponding descriptions in the foregoing method embodiment. For the sake of convenience and brevity of description, they will not be elaborated here.

[0147] The foregoing defect compensation device 400 for a display panel can be implemented in the form of a computer program, and the computer program can run on an electronic device as shown in Figure 9 shown.

[0148] Please refer to Figure 9 , Figure 9 which is a schematic block diagram of an electronic device provided in the present application. The electronic device 500 may be a terminal. Among them, the terminal may be a cloud, an in-vehicle terminal device, a smart phone, a tablet computer, a notebook computer, a desktop computer, a personal digital assistant, and a wearable device, etc.

[0149] Refer to Figure 9 , the electronic device 500 includes a processor 502, a memory, and a network interface 505 connected through a system bus 501. Among them, the memory may include a non-volatile storage medium 503 and an internal memory 504.

[0150] The non-volatile storage medium 503 can store an operating system 5031 and a computer program 5032. The computer program 5032 includes program instructions that, when executed, enable the processor 502 to execute a method for compensating defects of a display panel.

[0151] The processor 502 is used to provide computing and control capabilities to support the operation of the entire electronic device 500.

[0152] The internal memory 504 provides an environment for the operation of the computer program 5032 in the non-volatile storage medium 503. When the computer program 5032 is executed by the processor 502, it enables the processor 502 to execute a method for compensating defects of a display panel.

[0153] The network interface 505 is used for network communication with other devices. Those skilled in the art can understand that Figure 9 the structure shown in is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the electronic device 500 to which the solution of this application is applied. The specific electronic device 500 may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0154] Among them, the processor 502 is used to run the computer program 5032 stored in the memory to implement the following steps: obtaining compensation data corresponding to the defect category in response to the defect category of the display panel at at least one light emission intensity; wherein the compensation data includes a plurality of compensation parameters, and each compensation parameter corresponds to a light emission intensity; writing the plurality of compensation parameters into the display panel to compensate for defects of the display panel at different light emission intensities.

[0155] It should be understood that in the embodiment of this application, the processor 502 may be a central processing unit (CPU), and the processor 502 may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), off-the-shelf programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0156] According to one aspect of the present application, there is also provided a computer program product or a computer program. The computer program product or the computer program includes computer instructions stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions to enable the electronic device to implement the following steps: obtaining compensation data corresponding to the defect category in response to the defect category of the display panel at at least one light-emitting intensity; wherein the compensation data includes a plurality of compensation parameters, and each compensation parameter corresponds to a light-emitting intensity; writing the plurality of compensation parameters into the display panel to perform defect compensation on the display panel at different light-emitting intensities.

[0157] Those of ordinary skill in the art can understand that all or part of the processes of the methods in the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program includes program instructions, and the computer program can be stored in a storage medium, and the storage medium is a computer-readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the process steps of the embodiments of the above methods.

[0158] Therefore, the present application also provides a storage medium. The storage medium can be a computer-readable storage medium. The storage medium stores a computer program, and the computer program includes program instructions. When the program instructions are executed by a processor, the processor is caused to execute the following steps: obtaining compensation data corresponding to the defect category in response to the defect category of the display panel at at least one light-emitting intensity; wherein the compensation data includes a plurality of compensation parameters, and each compensation parameter corresponds to a light-emitting intensity; writing the plurality of compensation parameters into the display panel to perform defect compensation on the display panel at different light-emitting intensities.

[0159] The storage medium can be a variety of computer-readable storage media such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a magnetic disk, or an optical disc, etc., which can store program codes.

[0160] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the components and steps of the examples have been generally described according to their functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0161] In several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of each unit is only a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0162] The steps in the method embodiments of this application can be adjusted, combined, and deleted according to actual needs. The units in the device embodiments of this application can be combined, divided, and deleted according to actual needs. In addition, in each embodiment of this application, each functional unit can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0163] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on this understanding, the essence of the technical solution of this application, or the part that contributes to the prior art, or all or part of this technical solution can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable an electronic device (which can be a personal computer, a terminal, or a network device, etc.) to execute all or part of the steps of the methods provided in each embodiment of this application.

[0164] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed in this application can easily think of various equivalent modifications or substitutions, and these modifications or substitutions should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. A method for compensating defects of a display panel, characterized in that: include: In response to a defect category of the display panel under at least one luminous intensity, obtaining compensation data corresponding to the defect category; wherein the compensation data includes a plurality of compensation parameters, each of which corresponds to a luminous intensity; A plurality of compensation parameters are written into the display panel to perform defect compensation on the display panel under different luminous intensities.

2. The defect compensation method of a display panel according to claim 1, characterized in that: The at least one luminous intensity includes a first luminous intensity, and the display panel corresponds to a first defect category under the first luminous intensity; Before responding to the defect category of the display panel under at least one luminous intensity, the method further includes: Acquire a single color channel image displayed by the display panel under the first luminous intensity to obtain at least one grayscale image; Display defects of the display panel at the first luminous intensity are classified based on the grayscale image to obtain the first defect category.

3. The defect compensation method of a display panel according to claim 2, characterized in that: The at least one grayscale image includes at least one of a first grayscale image, a second grayscale image, and a third grayscale image; the single color channel image displayed by the display panel under the first luminous intensity includes a red image, a green image, and a blue image corresponding to the first grayscale image, the second grayscale image, and the third grayscale image, respectively; The collecting the single color channel image displayed by the display panel under the first luminous intensity to obtain at least one grayscale image includes: A black and white camera is used to respectively photograph a red image, a green image and a blue image displayed by the display panel under the first luminous intensity to obtain the first grayscale image, the second grayscale image and the third grayscale image.

4. The defect compensation method of a display panel according to claim 2, characterized in that: The grayscale image is a first grayscale image, a second grayscale image, or a third grayscale image; the single color channel image displayed by the display panel under the second light intensity includes a red image, a green image, and a blue image corresponding to the first grayscale image, the second grayscale image, and the third grayscale image, respectively; The performing display defect classification on the display panel at the first light intensity based on the grayscale image to obtain the first defect category includes: Performing image fusion on the first grayscale image, the second grayscale image and the third grayscale image to generate a target image; Based on the target image, display defects of the display panel under the first luminous intensity are classified to obtain the first defect category.

5. The defect compensation method of a display panel according to claim 4, characterized in that: The step of fusing the first grayscale image, the second grayscale image, and the third grayscale image to generate a target image includes: Performing dimension expansion on the first grayscale image, the second grayscale image, and the third grayscale image, respectively, to obtain a first expanded image, a second expanded image, and a third expanded image, respectively; Channel merging is performed on the first extended image, the second extended image, and the third extended image to obtain the target image.

6. The defect compensation method of a display panel according to claim 5, characterized in that: The step of performing dimension expansion on the first grayscale image, the second grayscale image, and the third grayscale image to obtain a first expanded image, a second expanded image, and a third expanded image, respectively, includes: Expanding the width and height of each pixel in the first grayscale image and the third grayscale image to twice the original pixel, respectively, to obtain the first expanded image and the third expanded image; The height of each pixel in the second grayscale image is expanded to twice the original pixel to obtain the second expanded image.

7. The defect compensation method of a display panel according to claim 5, characterized in that: The step of performing channel merging on the first extended image, the second extended image, and the third extended image to obtain the target image includes: In the direction of pixel rows, the first extended image, the second extended image and the third extended image are respectively grouped into pixels to obtain a plurality of first pixel groups, a plurality of second pixel groups and a plurality of third pixel groups corresponding to the first extended image, the second extended image and the third extended image respectively; the number of pixels in the first pixel group, the second pixel group and the third pixel group is a multiple of 2; Each of the first pixel groups is sequentially merged with the corresponding second pixel group and third pixel group to obtain the target image.

8. The defect compensation method of a display panel according to claim 4, characterized in that: The step of classifying display defects of the display panel under the first luminous intensity based on the target image to obtain the first defect category includes: Performing grayscale processing on the target image to obtain a target grayscale image of the target image; A gradient feature analysis is performed on the target grayscale image to classify display defects of the display panel under the first luminous intensity to obtain the first defect category.

9. The defect compensation method of a display panel according to claim 8, characterized in that: The performing gradient feature analysis on the target grayscale image to classify display defects of the display panel under the first luminous intensity to obtain the first defect category includes: Dividing the target grayscale image into grids, and calculating the grayscale mean of the grids to obtain grayscale data of each grid; Based on the grayscale data of each grid, a gradient feature analysis is performed on the target grayscale image to classify display defects of the display panel under the first luminous intensity to obtain the first defect category.

10. The defect compensation method of a display panel according to claim 1, characterized in that: The at least one luminous intensity further includes a second luminous intensity, and the display panel corresponds to a second defect category under the second luminous intensity; The obtaining compensation data of the display panel under at least one luminous intensity includes: Determining, according to the second defect category, a compensation brightness and a compensation coefficient for performing defect compensation on the display panel at the third luminous intensity; The compensation parameter required by the display panel under the second luminous intensity is generated according to the compensation brightness and the compensation coefficient.

11. The defect compensation method of a display panel according to claim 1, characterized in that: The display panel includes multiple pixel units, the at least one luminous intensity also includes a third luminous intensity, the display panel corresponds to a third defect category under the third luminous intensity, the third defect category includes at least one subcategory, each of the pixel units corresponds to a subcategory, and the compensation parameters of the display panel under the third luminous intensity include at least one compensation value corresponding to the subcategory.

12. The defect compensation method of a display panel according to claim 11, characterized in that: The at least one subcategory includes a first subcategory and a second subcategory, and a compensation value corresponding to the first subcategory is different from a compensation value corresponding to the second subcategory.

13. The defect compensation method of a display panel according to claim 11, characterized in that: The obtaining compensation data of the display panel under at least one luminous intensity includes: Determining, according to the subcategory corresponding to each of the pixel units, a compensation value corresponding to each of the pixel units under the third luminous intensity; A compensation parameter corresponding to the third defect category is generated according to the compensation value corresponding to each of the pixel units under the third luminous intensity.

14. The defect compensation method of a display panel according to claim 1, characterized in that: The at least one luminous intensity further comprises a fourth luminous intensity; the method further comprising: In response to a fourth defect category of the display panel at the fourth luminous intensity, determining a compensation parameter corresponding to the fourth defect category from a preset defect compensation relationship table; Writing compensation parameters corresponding to the fourth defect category into the display panel to perform defect compensation on an image of the display panel at the fourth luminous intensity; In response to a first compensation result of the display panel at the fourth luminous intensity, classifying display defects of the display panel to obtain a fifth defect category of the display panel at the fourth luminous intensity; A compensation parameter corresponding to the fifth defect type is generated, and the compensation parameter corresponding to the fifth defect type is written into the display panel to perform defect compensation on a picture of the display panel under the fourth luminous intensity.

15. The defect compensation method of a display panel according to claim 14, characterized in that: The method further comprises: The defect compensation relationship table is updated based on the fourth luminous intensity, the fifth defect type, and a compensation parameter corresponding to the fifth defect type.

16. The defect compensation method of a display panel according to claim 14, characterized in that: After writing the compensation parameters corresponding to the fourth defect category into the display panel to perform defect compensation on the picture of the display panel at the fourth luminous intensity, the method further includes: In response to the second compensation result of the display panel at the fourth luminous intensity, information indicating that defect compensation is successfully performed on the picture of the display panel at the fourth luminous intensity is generated.

17. The defect compensation method of a display panel according to claim 14, characterized in that: The display panel includes a plurality of pixel units, the fourth defect category and the fifth defect category each include at least one subcategory, each pixel unit corresponds to one subcategory, and the fourth defect category is different from the fifth defect category in at least one subcategory.

18. The defect compensation method of a display panel according to claim 17, characterized in that: The number of subcategories in the fifth defect category is smaller than the number of subcategories in the fourth defect category.

19. An electronic 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 defect compensation method for a display panel according to any one of claims 1 to 18 are implemented.

20. 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 defect compensation method for a display panel according to any one of claims 1 to 18 are implemented.

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