Data correction method, device and equipment, readable storage medium and program product

Abstract

The invention relates to a data correction method and device, equipment, a readable storage medium and a program product. The method comprises the steps of obtaining target brightness characteristic data corresponding to a target screen body through application equipment, obtaining brightness correction data corresponding to a target module position according to the target module position corresponding to the target screen body, and correcting the target brightness characteristic data according to the brightness correction data and a correction strategy corresponding to experimental equipment. By adopting the method, the correction accuracy can be improved.

Description

Technical Field

[0001] The present application relates to the field of optoelectronic technology, and in particular to a data correction method, device, equipment, readable storage medium and program product. Background Art

[0002] When manufacturing display screens, the screens may have uneven brightness due to various reasons. Therefore, Demura (speckle removal) technology was developed to correct the brightness data of the screen.

[0003] In the related art, a sample screen is usually photographed in a laboratory using a laboratory camera to design a related Demura algorithm. Subsequently, in the production line, the brightness data of the screen produced in the production line will be corrected according to the designed Demura algorithm and the camera in the production line.

[0004] However, the above data correction method has the problem of poor accuracy. Summary of the invention

[0005] Based on this, it is necessary to provide a data correction method, device, equipment, readable storage medium and program product that can improve the accuracy of correction in response to the above technical problems.

[0006] In a first aspect, the present application provides a data correction method, comprising:

[0007] Obtain target brightness characteristic data corresponding to the target screen through the application device;

[0008] According to the target mode position corresponding to the target screen body, the brightness correction data corresponding to the target mode position is obtained;

[0009] According to the brightness correction data and the correction strategy corresponding to the experimental equipment, the target brightness characteristic data is corrected.

[0010] In one embodiment, obtaining brightness correction data corresponding to a target mode position includes:

[0011] Acquire first brightness characteristic data corresponding to a plurality of first sample screens at a target mold position through an application device, and acquire second brightness characteristic data corresponding to a plurality of first sample screens at a target mold position through an experimental device;

[0012] Brightness correction data is obtained according to each first brightness characteristic data and each second brightness characteristic data.

[0013] In one embodiment, obtaining brightness correction data according to each first brightness characteristic data and each second brightness characteristic data includes:

[0014] For each first sample screen, calculating the ratio data of the second brightness characteristic data to the first brightness characteristic data;

[0015] According to the proportion data corresponding to each first sample screen, a correction matrix corresponding to the target mold position is obtained;

[0016] Determine brightness correction data according to the correction matrix;

[0017] Preferably, the correction matrix is ​​divided into a matrix according to a preset division condition to obtain a plurality of matrix blocks, and the values ​​in each matrix block are averaged to obtain an average value corresponding to each matrix block, and each average value is determined as brightness correction data;

[0018] Preferably, the plurality of matrix blocks include 4 matrix blocks, and each matrix block is 2*2.

[0019] In one embodiment, before obtaining the brightness correction data corresponding to the target mode position, the method further includes:

[0020] Acquire third brightness characteristic data corresponding to the second sample screen at each mode position through the application equipment, and acquire fourth brightness characteristic data corresponding to each second sample screen through the experimental equipment;

[0021] According to each third brightness characteristic data and each fourth brightness characteristic data, it is determined whether the application device and the experimental device are calibrated in accordance with the standard.

[0022] In one embodiment, determining whether the application device and the experimental device are calibrated according to each third brightness characteristic data and each fourth brightness characteristic data includes:

[0023] Determine application statistical data corresponding to the application device according to each third brightness characteristic data, and determine experimental statistical data corresponding to the experimental device according to each fourth brightness characteristic data;

[0024] Determining comprehensive statistical data according to each third brightness characteristic data and each fourth brightness characteristic data;

[0025] Determine whether the application equipment and experimental equipment are calibrated according to the application statistical data, experimental statistical data and comprehensive statistical data.

[0026] In one embodiment, determining whether the application equipment and the experimental equipment are calibrated according to the application statistical data, the experimental statistical data and the comprehensive statistical data includes:

[0027] Calculate the statistical means of application statistics and experimental statistics;

[0028] If the mean of the statistical data is less than or equal to the comprehensive statistical data, it is determined that the application equipment and the experimental equipment are calibrated;

[0029] If the mean of the statistical data is greater than the comprehensive statistical data, it is determined that the application equipment and the experimental equipment are not calibrated.

[0030] In a second aspect, the present application also provides a data correction device, comprising:

[0031] A first acquisition module is used to acquire target brightness characteristic data corresponding to a target screen through an application device;

[0032] The second acquisition module is used to acquire brightness correction data corresponding to the target mode position according to the target mode position corresponding to the target screen body;

[0033] The correction module is used to correct the target brightness characteristic data according to the brightness correction data and the correction strategy corresponding to the experimental equipment.

[0034] In a third aspect, an embodiment of the present application provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method of the first aspect when executing the computer program.

[0035] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method of the first aspect described above.

[0036] In a fifth aspect, the present application further provides a computer program product, wherein the computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the method in the first aspect are implemented.

[0037] The above-mentioned data correction method, device, equipment, readable storage medium and program product can obtain the target brightness characteristic data corresponding to the target screen through the application equipment, and can obtain the brightness correction data corresponding to the target mold position according to the target mold position corresponding to the target screen. According to the brightness correction data and the correction strategy corresponding to the experimental equipment, the target brightness characteristic data can be corrected. In this way, before using the correction strategy corresponding to the experimental equipment to correct the target screen, it is first determined whether the application equipment actually used and the experimental equipment used to design the correction strategy are calibrated. If not, the brightness correction data corresponding to the target mold position is obtained, and the target brightness characteristic data is corrected by combining the brightness correction data and the correction strategy, thereby avoiding the problem of low correction accuracy of the correction strategy caused by the fact that the application equipment actually used and the experimental equipment used in the experiment are not calibrated. The technical solution provided by the present application improves the correction accuracy of the correction strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 A diagram showing an application environment of a data correction method in an embodiment;

[0040] Figure 2 A schematic diagram of a flow chart of a data correction method in an embodiment;

[0041] Figure 3 is a flow chart of step 202 in another embodiment;

[0042] Figure 4 A schematic flow chart of a process for determining whether an application device and an experimental device are calibrated in accordance with another embodiment;

[0043] Figure 5 is a flow chart of a data correction method in another embodiment;

[0044] Figure 6 is a structural block diagram of a data correction device in one embodiment;

[0045] Figure 7 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0046] 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.

[0047] When manufacturing display screens, the screens may have uneven brightness due to various reasons. Therefore, Demura (speckle removal) technology was developed to correct the brightness data of the screen.

[0048] In the related art, a sample screen is usually photographed in a laboratory using a laboratory camera to design a related Demura algorithm. Subsequently, in the production line, the brightness data of the screen produced in the production line will be corrected according to the designed Demura algorithm and the camera in the production line.

[0049] However, there may be differences between the laboratory cameras used in designing the relevant Demura algorithms and the cameras used in the actual production line. The brightness data of the screens collected by the different cameras may also be different. If the Demura algorithm designed using the laboratory cameras is directly used to correct the brightness data of the screens produced on the production line, the accuracy of the correction will be reduced.

[0050] In view of this, the present application provides a data correction method, device, equipment, readable storage medium and program product, through which the target brightness characteristic data corresponding to the target screen can be obtained by the application device, and the brightness correction data corresponding to the target mold position can be obtained according to the target mold position corresponding to the target screen. According to the brightness correction data and the correction strategy corresponding to the experimental equipment, the target brightness characteristic data can be corrected. In this way, before correcting the target screen using the correction strategy corresponding to the experimental equipment, it is first determined whether the application equipment in actual application and the experimental equipment used to design the correction strategy are calibrated. If not, the brightness correction data corresponding to the target mold position is obtained, and the target brightness characteristic data is corrected by combining the brightness correction data and the correction strategy, thereby avoiding the problem of low correction accuracy of the correction strategy caused by the fact that the application equipment in actual application and the experimental equipment used in the experiment are not calibrated. The technical solution provided by the present application improves the correction accuracy of the correction strategy.

[0051] The data correction method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the data storage system can store the data that the server 101 needs to process. The data storage system can be integrated on the server 101, or it can be placed on the cloud or other network servers. The server 101 can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services.

[0052] In an exemplary embodiment, Figure 2 As shown, a data correction method is provided, which is applied to Figure 1 The server 101 in the example is used as an example to illustrate, including the following steps 201 to 203. Among them:

[0053] Step 201: acquiring target brightness characteristic data corresponding to a target screen through an application device.

[0054] In an embodiment of the present application, the application device may be a device for collecting target brightness characteristic data used by a production line for producing a target screen, the application device may be a camera for photographing the target screen, the target screen may be a display screen that requires brightness characteristic data correction, and the target brightness characteristic data may be used to characterize the brightness characteristics of different pixel points of the target screen.

[0055] In a possible implementation, the application device is communicatively connected to the server. When the application device collects target brightness characteristic data corresponding to the target screen, optionally, the server can directly receive the target brightness characteristic data sent by the application device; optionally, the server can send a collection instruction to the application device, thereby obtaining the target brightness characteristic data sent by the application device in response to the collection instruction.

[0056] Step 202: Acquire brightness correction data corresponding to the target mode position according to the target mode position corresponding to the target screen.

[0057] In the embodiment of the present application, the experimental equipment may be a device used to collect data when designing a correction strategy (related Demura algorithm), and may be a camera or the like.

[0058] It is understandable that there may be certain differences between the experimental equipment and the application equipment. Before correcting the target brightness characteristic data, the server can detect whether the application equipment and the experimental equipment are calibrated to avoid the problem of low correction accuracy due to equipment differences.

[0059] In a possible implementation, the server may respectively obtain equipment parameters of the application device and the experimental device. The equipment parameters may include focal length, measurement accuracy, etc. The server may compare the differences between the equipment parameters of the application device and the equipment parameters of the experimental device to determine whether the application device and the experimental device are calibrated.

[0060] In another possible implementation, the server may collect characteristic data of the sample screen through an experimental device, and then collect characteristic data of the sample screen through an application device. The server may compare the difference between the characteristic data of the sample screen collected by the experimental device and the characteristic data of the sample screen collected by the application device, thereby determining whether the application device and the experimental device are calibrated.

[0061] Optionally, when the application device is calibrated against the experimental device, the server may directly utilize the correction strategy corresponding to the experimental device to perform correction processing on the target brightness characteristic data.

[0062] Optionally, when the application equipment and the experimental equipment are not calibrated, in order to avoid the problem of low correction accuracy due to equipment differences, the server can obtain the brightness correction data corresponding to the target mode position according to the target mode position corresponding to the target screen, and in subsequent steps, combine the brightness correction data with the correction strategy corresponding to the experimental equipment to correct the target brightness feature data.

[0063] In an embodiment of the present application, the target mold position may be the position of the target screen on the screen panel. The screen panel is a larger plate for making display screens. Multiple screens can be cut from one screen panel. Different positions on the screen panel are called mold positions, such as the center, upper edge, lower edge, upper left corner, upper right corner, etc.

[0064] The brightness correction data can be used to compensate for the difference between the target screen and the experimental equipment when collecting data. After the server corrects the target brightness characteristic data collected by the application equipment through the brightness correction data, the corrected target brightness characteristic data eliminates the equipment difference.

[0065] It is understandable that the screen bodies of different mold positions on the screen panel may be different. Therefore, different mold positions correspond to different brightness correction data. Optionally, there is a mapping relationship between each mold position and the brightness correction data. The server can directly obtain the brightness correction data corresponding to the target mold position based on the target mold position.

[0066] Optionally, the server can collect brightness characteristic data of multiple sample screens of the target mold position through application equipment, and collect brightness characteristic data of multiple sample screens of the target mold position through experimental equipment. The server can calculate the brightness correction data corresponding to the target mold position based on the collected data.

[0067] Step 203: Correct the target brightness feature data according to the brightness correction data and the correction strategy corresponding to the experimental equipment.

[0068] Optionally, the server may obtain the correction strategy input by the user through an external input device. Optionally, the server may directly obtain the correction strategy corresponding to the experimental device from a database.

[0069] In a possible implementation, the server may use the brightness correction data and the target brightness characteristic data as input parameters corresponding to the correction strategy, and execute the correction strategy, thereby obtaining the target brightness characteristic data after correction.

[0070] In another possible implementation, the server can use the brightness correction data to perform a first correction processing on the target brightness characteristic data to obtain first brightness correction data, and use the correction strategy to perform a second correction processing on the first brightness correction data to obtain second brightness correction data. The server can use the second brightness correction data as the result of the correction processing. In the embodiment of the present application, the first brightness correction data is brightness characteristic data that eliminates device differences. The server uses the correction strategy to perform a second correction processing on the first brightness correction data, which can achieve the correction effect of the correction strategy and improve the correction accuracy.

[0071] In the above embodiment, before using the correction strategy corresponding to the experimental equipment to correct the target screen, it is first determined whether the application equipment in actual application and the experimental equipment used to design the correction strategy are calibrated. If not, the brightness correction data corresponding to the target mode position is obtained, and the target brightness feature data is corrected using the brightness correction data and the correction strategy. This avoids the problem of low correction accuracy of the correction strategy due to the fact that the application equipment in actual application and the experimental equipment used in the experiment are not calibrated. The technical solution provided by the present application improves the correction accuracy of the correction strategy.

[0072] In one embodiment, based on the above Figure 2 The embodiment shown, see Figure 3 This embodiment relates to the process of obtaining brightness correction data corresponding to the target mode position. Figure 3 As shown, step 202 may include step 301 and step 302 .

[0073] Step 301, obtaining first brightness characteristic data corresponding to a plurality of first sample screens at a target mold position through an application device, and obtaining second brightness characteristic data corresponding to a plurality of first sample screens at a target mold position through an experimental device.

[0074] For the target mold position, the server can obtain the first brightness characteristic data corresponding to multiple first sample screens under the target mold position through the application device, and obtain the second brightness characteristic data corresponding to multiple first sample screens under the target mold position through the experimental device. Optionally, after the application device and the experimental device respectively collect the first brightness characteristic data and the second brightness characteristic data, the server can obtain the first brightness characteristic data and the second brightness characteristic data respectively sent by the application device and the experimental device through the communication protocol; optionally, the server can send collection instructions to the application device and the experimental device respectively, thereby obtaining the first brightness characteristic data and the second brightness characteristic data returned by the application device and the experimental device in response to the collection instructions.

[0075] Step 302 , obtaining brightness correction data according to each first brightness characteristic data and each second brightness characteristic data.

[0076] In a possible implementation, the server may calculate the brightness correction data corresponding to the target mode position according to the difference between each first brightness characteristic data and each second brightness characteristic data.

[0077] In another possible implementation, for each first sample screen, the server can calculate the ratio data of the second brightness characteristic data to the first brightness characteristic data. Based on the ratio data corresponding to each first sample screen, the server can obtain the correction matrix corresponding to the target mode position. Based on the correction matrix, the server can determine the brightness correction data.

[0078] In the embodiment of the present application, there are at least three first sample screens corresponding to the target mode position. For each first sample screen, the ratio data of the second brightness characteristic data to the first brightness characteristic data, that is, the ratio, can be calculated. The specific calculation process can refer to Table 1:

[0079]

[0080] Table 1

[0081] Among them, CSV1 and CSV0 are the first brightness characteristic data and the second brightness characteristic data corresponding to a first sample screen, and CSV1* and CSV0* are the first brightness characteristic data and the second brightness characteristic data corresponding to another first sample screen.

[0082] After obtaining the proportion data corresponding to the plurality of first sample screens at the target mode position, the server may calculate the average data corresponding to each proportion data. Taking the two first sample screens in Table 1 as an example, the obtained average data may refer to Table 2:

[0083]

[0084] Table 2

[0085] In an embodiment of the present application, the server may use the mean value data as a correction matrix corresponding to the target mode position. Optionally, the server may directly use the correction matrix as brightness correction data.

[0086] Optionally, it is understandable that the amount of data contained in the correction matrix is ​​very large. In order to facilitate calculation, the correction matrix can be simplified to obtain the final brightness correction data.

[0087] In an embodiment of the present application, regarding the simplified processing process, the server can divide the correction matrix into multiple matrix blocks according to preset division conditions, and perform mean processing on the elements in each matrix block, so that each matrix block becomes a numerical element, and each numerical element constitutes the final brightness correction data.

[0088] For example, the server may divide the mean matrix in Table 2 into four 2×2 matrix blocks, and then perform mean processing on the elements in each matrix block to obtain the final brightness correction data, which may be the matrix .

[0089] In one embodiment, based on the above Figure 2 The embodiment shown, see Figure 4 This embodiment involves a process of determining whether the application device and the experimental device are calibrated before obtaining the brightness correction data corresponding to the target mode position. Figure 4 As shown, the process may include step 401 and step 402 .

[0090] Step 401, obtaining third brightness characteristic data corresponding to the second sample screen at each mode position through an application device, and obtaining fourth brightness characteristic data corresponding to each second sample screen through an experimental device.

[0091] In order to accurately detect whether the application equipment and the experimental equipment are calibrated, the server can collect brightness characteristic data of the second sample screen under multiple mode positions through the application equipment and the experimental equipment respectively to obtain third brightness characteristic data and fourth brightness characteristic data corresponding to the second sample screen.

[0092] Optionally, after the application device and the experimental device respectively collect the third brightness characteristic data and the fourth brightness characteristic data, the server can obtain the third brightness characteristic data and the fourth brightness characteristic data respectively sent by the application device and the experimental device through a communication protocol; optionally, the server can send collection instructions to the application device and the experimental device respectively, thereby obtaining the third brightness characteristic data and the fourth brightness characteristic data returned by the application device and the experimental device in response to the collection instructions.

[0093] Step 402: Determine whether the application device and the experimental device are calibrated according to each third brightness characteristic data and each fourth brightness characteristic data.

[0094] In a possible implementation, for each second sample screen, the server can calculate the difference between its corresponding third brightness characteristic data and fourth brightness characteristic data, and comprehensively determine whether the difference between the third brightness characteristic data and the fourth brightness characteristic data corresponding to each second sample screen is greater than a preset difference range. If so, the server determines that the application device and the experimental device are not calibrated; if not, the server determines that the application device and the experimental device are calibrated.

[0095] In another possible implementation, the server can determine the application statistical data corresponding to the application equipment based on each third brightness characteristic data, and determine the experimental statistical data corresponding to the experimental equipment based on each fourth brightness characteristic data. The server can also determine the comprehensive statistical data based on each third brightness characteristic data and each fourth brightness characteristic data; in this way, the server can determine whether the application equipment and the experimental equipment are calibrated according to the application statistical data, experimental statistical data and comprehensive statistical data.

[0096] For multiple second sample screens of each mold position, the corresponding third brightness characteristic data may include brightness characteristic data collected twice, so that the server can calculate the difference between the two brightness characteristic data included in the third brightness characteristic data, which is the application difference corresponding to the application device. The server can calculate the application standard deviation of each application difference and the mean of each application standard deviation to obtain the application statistical data corresponding to the application device; the calculation process of the experimental statistical data is the same as the calculation process of the application statistical data, that is, the fourth brightness characteristic data may also include brightness characteristic data collected twice. It can be understood that the difference between the third brightness characteristic data and the fourth brightness characteristic data can be determined based on the application statistical data and the experimental statistical data, so as to determine whether the application device and the experimental device are calibrated according to the difference.

[0097] Exemplarily, referring to Table 3, the third brightness characteristic data includes a brightness characteristic data CSV1, and each element in CSV1 represents the brightness characteristic data of each pixel of the second sample screen:

[0098]

[0099] Table 3

[0100] Referring to Table 4, the third brightness feature data includes another brightness feature data CSV1*:

[0101]

[0102] Table 4

[0103] To calculate the difference between CSV1 and CSV1*, refer to Table 5:

[0104]

[0105] Table 5

[0106] According to the difference, the server can calculate the application standard deviation σ(1) corresponding to the second sample screen as 0.00846. Based on the above process, the server can calculate the application standard deviation corresponding to each second sample screen, find the mean of each application standard deviation, and the server can use the mean of each application standard deviation as the application statistical data corresponding to the application device.

[0107] Similarly, referring to Table 6, CSV0 and CSV0* are brightness feature data included in the fourth brightness feature data, and the calculation process of the experimental statistical data can refer to Table 6:

[0108]

[0109] Table 6

[0110] The server can calculate that the experimental standard deviation σ(0) corresponding to the second sample screen is 0.170002. The server can calculate the experimental standard deviation corresponding to each second sample screen, and find the mean of each experimental standard deviation. The server can use the mean of each experimental standard deviation as the experimental statistical data corresponding to the application device.

[0111] For the calculation process of the second application statistical data of each second sample screen, the server can calculate the ratio between a brightness characteristic data CSV1 included in the third brightness characteristic data and a brightness characteristic data CSV0 included in the fourth brightness characteristic data, and calculate the first ratio standard deviation σ(0-1) corresponding to the ratio. Similarly, the server can calculate the second ratio standard deviation σ(0*-1*) corresponding to the ratio based on the ratio between another brightness characteristic data CSV1* included in the third brightness characteristic data and a brightness characteristic data CSV0* included in the fourth brightness characteristic data. The server can calculate the average AVG_σ(0-1) between the first ratio standard deviation and the second ratio standard deviation σ(0*-1*) as the sub-comprehensive statistical data corresponding to the second sample screen, and the server can calculate each sub-comprehensive statistical data as a comprehensive statistical data.

[0112] For the sub-comprehensive statistical data corresponding to the second sample screen, please refer to Table 7:

[0113]

[0114] Table 7

[0115] After obtaining statistical data, experimental statistical data and comprehensive statistical data, the server can calculate the statistical mean of the application statistical data and the experimental statistical data, and detect whether the statistical mean is greater than the comprehensive statistical data. The detection process can be expressed as: σ(0-1)≤[σ(0)+σ(1)] / 2, where σ(0-1) represents the ratio standard deviation, σ(0) represents the experimental standard deviation σ(1), and σ(1) represents the application standard deviation.

[0116] Optionally, if the mean of the statistical data is less than or equal to the comprehensive statistical data, it is determined that the application equipment and the experimental equipment are calibrated; optionally, if the mean of the statistical data is greater than the comprehensive statistical data, it is determined that the application equipment and the experimental equipment are not calibrated.

[0117] In one embodiment, referring to Figure 5 , provides an exemplary data correction method, which can be applied to Figure 1 Servers in the illustrated implementation.

[0118] Step 501: Acquire target brightness characteristic data corresponding to a target screen through an application device.

[0119] Step 502: obtaining third brightness characteristic data corresponding to the second sample screen at each mode position through an application device, and obtaining fourth brightness characteristic data corresponding to each second sample screen through an experimental device.

[0120] Step 503: Determine application statistical data corresponding to the application device according to each third brightness characteristic data, and determine experimental statistical data corresponding to the experimental device according to each fourth brightness characteristic data.

[0121] Step 504: Determine comprehensive statistical data based on each third brightness feature data and each fourth brightness feature data.

[0122] Step 505, calculating the statistical data mean of the application statistical data and the experimental statistical data.

[0123] Step 506: If the mean of the statistical data is less than or equal to the comprehensive statistical data, it is determined that the application equipment and the experimental equipment are calibrated.

[0124] Step 507: If the mean of the statistical data is greater than the comprehensive statistical data, it is determined that the application equipment and the experimental equipment are not calibrated.

[0125] Step 508, obtaining the target mold position corresponding to the target screen.

[0126] Step 509 , obtaining first brightness characteristic data corresponding to a plurality of first sample screens at the target mold position through an application device, and obtaining second brightness characteristic data corresponding to a plurality of first sample screens at the target mold position through an experimental device.

[0127] Step 510: For each first sample screen, calculate the ratio data of the second brightness characteristic data to the first brightness characteristic data.

[0128] Step 511: Obtain a correction matrix corresponding to the target mold position according to the proportion data corresponding to each first sample screen.

[0129] Step 512: Determine brightness correction data according to the correction matrix.

[0130] Step 513: Correct the target brightness feature data according to the brightness correction data and the correction strategy corresponding to the experimental equipment.

[0131] 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.

[0132] Based on the same inventive concept, the embodiment of the present application also provides a data correction device for implementing the data correction 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 data correction device embodiments provided below can refer to the limitations on the data correction method above, and will not be repeated here.

[0133] In an exemplary embodiment, Figure 6 As shown, a data correction device is provided, comprising: a first acquisition module 601, a second acquisition module 602 and a correction module 603, wherein:

[0134] The first acquisition module 601 is used to acquire target brightness characteristic data corresponding to the target screen through an application device;

[0135] The second acquisition module 602 is used to acquire brightness correction data corresponding to the target mode position according to the target mode position corresponding to the target screen body;

[0136] The correction module 603 is used to correct the target brightness characteristic data according to the brightness correction data and the correction strategy corresponding to the experimental equipment.

[0137] In one embodiment, the second acquisition module 602 includes:

[0138] A sample characteristic data acquisition unit, used to acquire first brightness characteristic data corresponding to a plurality of first sample screens at the target mode position through the application device, and to acquire second brightness characteristic data corresponding to each of the first sample screens through the experimental device;

[0139] The correction data acquisition unit is used to acquire the brightness correction data according to each of the first brightness characteristic data and each of the second brightness characteristic data.

[0140] In one embodiment, the correction data acquisition unit is specifically used to perform:

[0141] For each of the first sample screens, calculating ratio data of the second brightness characteristic data to the first brightness characteristic data;

[0142] According to the proportion data corresponding to each of the first sample screens, obtaining a correction matrix corresponding to the target mold position;

[0143] Determine the brightness correction data according to the correction matrix;

[0144] Preferably, the correction matrix is ​​divided into a matrix according to a preset division condition to obtain a plurality of matrix blocks, and the values ​​in each of the matrix blocks are averaged to obtain an average value corresponding to each of the matrix blocks, and each of the average values ​​is determined as the brightness correction data;

[0145] Preferably, the plurality of matrix blocks include 4 matrix blocks, and each of the matrix blocks is 2*2.

[0146] In one embodiment, the apparatus further comprises:

[0147] A sample characteristic data acquisition module, used to acquire third brightness characteristic data corresponding to the second sample screen at each mode position through the application device, and to acquire fourth brightness characteristic data corresponding to each second sample screen through the experimental device;

[0148] The benchmarking module is used to determine whether the application device and the experimental device are benchmarked and calibrated according to each of the third brightness characteristic data and each of the fourth brightness characteristic data.

[0149] In one embodiment, the benchmarking module includes:

[0150] A first statistical unit, configured to determine application statistical data corresponding to the application device according to each of the third brightness characteristic data, and to determine experimental statistical data corresponding to the experimental device according to each of the fourth brightness characteristic data;

[0151] A second statistical unit, used for determining comprehensive statistical data according to each of the third brightness characteristic data and each of the fourth brightness characteristic data;

[0152] The benchmarking and calibration unit is used to determine whether the application equipment and the experimental equipment are benchmarked and calibrated according to the application statistical data, the experimental statistical data and the comprehensive statistical data.

[0153] In one embodiment, the calibration unit is specifically configured to perform:

[0154] Calculating the statistical data mean of the application statistical data and the experimental statistical data;

[0155] If the mean of the statistical data is less than or equal to the comprehensive statistical data, determining that the application device is calibrated with the experimental device;

[0156] If the mean of the statistical data is greater than the comprehensive statistical data, it is determined that the application equipment and the experimental equipment are not calibrated.

[0157] Each module in the above data correction device can be implemented in whole or in part by software, hardware or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each module.

[0158] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 7 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. 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, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data correction data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a data correction method is implemented.

[0159] Those skilled in the art will understand that Figure 7 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.

[0160] 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 when the processor executes the computer program, the following steps are implemented:

[0161] Obtain target brightness characteristic data corresponding to the target screen through the application device;

[0162] According to the target mode position corresponding to the target screen body, obtaining brightness correction data corresponding to the target mode position;

[0163] The target brightness characteristic data is corrected according to the brightness correction data and the correction strategy corresponding to the experimental equipment.

[0164] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0165] Acquire first brightness characteristic data corresponding to a plurality of first sample screens at the target mode position through the application device, and acquire second brightness characteristic data corresponding to each of the first sample screens through the experimental device;

[0166] The brightness correction data is acquired according to each of the first brightness characteristic data and each of the second brightness characteristic data.

[0167] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0168] For each of the first sample screens, calculating ratio data of the second brightness characteristic data to the first brightness characteristic data;

[0169] According to the proportion data corresponding to each of the first sample screens, obtaining a correction matrix corresponding to the target mold position;

[0170] Determine the brightness correction data according to the correction matrix;

[0171] Preferably, the correction matrix is ​​divided into a matrix according to a preset division condition to obtain a plurality of matrix blocks, and the values ​​in each of the matrix blocks are averaged to obtain an average value corresponding to each of the matrix blocks, and each of the average values ​​is determined as the brightness correction data;

[0172] Preferably, the plurality of matrix blocks include 4 matrix blocks, and each of the matrix blocks is 2*2.

[0173] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0174] Acquire the third brightness characteristic data corresponding to the second sample screen at each mode position through the application device, and acquire the fourth brightness characteristic data corresponding to each second sample screen through the experimental device;

[0175] According to each of the third brightness characteristic data and each of the fourth brightness characteristic data, it is determined whether the application device and the experimental device are calibrated in accordance with the standard.

[0176] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0177] Determine application statistical data corresponding to the application device according to each of the third brightness characteristic data, and determine experimental statistical data corresponding to the experimental device according to each of the fourth brightness characteristic data;

[0178] Determine comprehensive statistical data according to each of the third brightness characteristic data and each of the fourth brightness characteristic data;

[0179] It is determined whether the application equipment and the experimental equipment are calibrated according to the application statistical data, the experimental statistical data and the comprehensive statistical data.

[0180] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0181] Calculating the statistical data mean of the application statistical data and the experimental statistical data;

[0182] If the mean of the statistical data is less than or equal to the comprehensive statistical data, determining that the application device is calibrated with the experimental device;

[0183] If the mean of the statistical data is greater than the comprehensive statistical data, it is determined that the application equipment and the experimental equipment are not calibrated.

[0184] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0185] Obtain target brightness characteristic data corresponding to the target screen through the application device;

[0186] According to the target mode position corresponding to the target screen body, obtaining brightness correction data corresponding to the target mode position;

[0187] The target brightness characteristic data is corrected according to the brightness correction data and the correction strategy corresponding to the experimental equipment.

[0188] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0189] Acquire first brightness characteristic data corresponding to a plurality of first sample screens at the target mode position through the application device, and acquire second brightness characteristic data corresponding to each of the first sample screens through the experimental device;

[0190] The brightness correction data is acquired according to each of the first brightness characteristic data and each of the second brightness characteristic data.

[0191] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0192] For each of the first sample screens, calculating ratio data of the second brightness characteristic data to the first brightness characteristic data;

[0193] According to the proportion data corresponding to each of the first sample screens, obtaining a correction matrix corresponding to the target mold position;

[0194] Determine the brightness correction data according to the correction matrix;

[0195] Preferably, the correction matrix is ​​divided into a matrix according to a preset division condition to obtain a plurality of matrix blocks, and the values ​​in each of the matrix blocks are averaged to obtain an average value corresponding to each of the matrix blocks, and each of the average values ​​is determined as the brightness correction data;

[0196] Preferably, the plurality of matrix blocks include 4 matrix blocks, and each of the matrix blocks is 2*2.

[0197] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0198] Acquire the third brightness characteristic data corresponding to the second sample screen at each mode position through the application device, and acquire the fourth brightness characteristic data corresponding to each second sample screen through the experimental device;

[0199] According to each of the third brightness characteristic data and each of the fourth brightness characteristic data, it is determined whether the application device and the experimental device are calibrated in accordance with the standard.

[0200] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0201] Determine application statistical data corresponding to the application device according to each of the third brightness characteristic data, and determine experimental statistical data corresponding to the experimental device according to each of the fourth brightness characteristic data;

[0202] Determine comprehensive statistical data according to each of the third brightness characteristic data and each of the fourth brightness characteristic data;

[0203] It is determined whether the application equipment and the experimental equipment are calibrated according to the application statistical data, the experimental statistical data and the comprehensive statistical data.

[0204] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0205] Calculating the statistical data mean of the application statistical data and the experimental statistical data;

[0206] If the mean of the statistical data is less than or equal to the comprehensive statistical data, determining that the application device is calibrated with the experimental device;

[0207] If the mean of the statistical data is greater than the comprehensive statistical data, it is determined that the application equipment and the experimental equipment are not calibrated.

[0208] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0209] Obtain target brightness characteristic data corresponding to the target screen through the application device;

[0210] According to the target mode position corresponding to the target screen body, obtaining brightness correction data corresponding to the target mode position;

[0211] The target brightness characteristic data is corrected according to the brightness correction data and the correction strategy corresponding to the experimental equipment.

[0212] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0213] Acquire first brightness characteristic data corresponding to a plurality of first sample screens at the target mode position through the application device, and acquire second brightness characteristic data corresponding to each of the first sample screens through the experimental device;

[0214] The brightness correction data is acquired according to each of the first brightness characteristic data and each of the second brightness characteristic data.

[0215] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0216] For each of the first sample screens, calculating ratio data of the second brightness characteristic data to the first brightness characteristic data;

[0217] According to the proportion data corresponding to each of the first sample screens, obtaining a correction matrix corresponding to the target mold position;

[0218] Determine the brightness correction data according to the correction matrix;

[0219] Preferably, the correction matrix is ​​divided into a matrix according to a preset division condition to obtain a plurality of matrix blocks, and the values ​​in each of the matrix blocks are averaged to obtain an average value corresponding to each of the matrix blocks, and each of the average values ​​is determined as the brightness correction data;

[0220] Preferably, the plurality of matrix blocks include 4 matrix blocks, and each of the matrix blocks is 2*2.

[0221] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0222] Acquire the third brightness characteristic data corresponding to the second sample screen at each mode position through the application device, and acquire the fourth brightness characteristic data corresponding to each second sample screen through the experimental device;

[0223] According to each of the third brightness characteristic data and each of the fourth brightness characteristic data, it is determined whether the application device and the experimental device are calibrated in accordance with the standard.

[0224] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0225] Determine application statistical data corresponding to the application device according to each of the third brightness characteristic data, and determine experimental statistical data corresponding to the experimental device according to each of the fourth brightness characteristic data;

[0226] Determine comprehensive statistical data according to each of the third brightness characteristic data and each of the fourth brightness characteristic data;

[0227] It is determined whether the application equipment and the experimental equipment are calibrated according to the application statistical data, the experimental statistical data and the comprehensive statistical data.

[0228] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0229] Calculating the statistical data mean of the application statistical data and the experimental statistical data;

[0230] If the mean of the statistical data is less than or equal to the comprehensive statistical data, determining that the application device is calibrated with the experimental device;

[0231] If the mean of the statistical data is greater than the comprehensive statistical data, it is determined that the application equipment and the experimental equipment are not calibrated.

[0232] 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.

[0233] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method 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 memory 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), magnetic 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, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0234] 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 application.

[0235] 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 data correction method, characterized in that: The method comprises: Obtain target brightness characteristic data corresponding to the target screen through the application device; According to the target mode position corresponding to the target screen body, obtaining brightness correction data corresponding to the target mode position; The target brightness characteristic data is corrected according to the brightness correction data and the correction strategy corresponding to the experimental equipment.

2. The method according to claim 1, characterized in that: The step of obtaining brightness correction data corresponding to the target mode position includes: Acquire first brightness characteristic data corresponding to a plurality of first sample screens at the target mold position through the application device, and acquire second brightness characteristic data corresponding to a plurality of first sample screens at the target mold position through the experimental device; The brightness correction data is acquired according to each of the first brightness characteristic data and each of the second brightness characteristic data.

3. The method according to claim 2, characterized in that The step of acquiring the brightness correction data according to each of the first brightness characteristic data and each of the second brightness characteristic data comprises: For each of the first sample screens, calculating ratio data of the second brightness characteristic data to the first brightness characteristic data; According to the proportion data corresponding to each of the first sample screens, obtaining a correction matrix corresponding to the target mold position; Determine the brightness correction data according to the correction matrix; Preferably, the correction matrix is ​​divided into a matrix according to a preset division condition to obtain a plurality of matrix blocks, and the values ​​in each of the matrix blocks are averaged to obtain an average value corresponding to each of the matrix blocks, and each of the average values ​​is determined as the brightness correction data; Preferably, the plurality of matrix blocks include 4 matrix blocks, and each of the matrix blocks is 2*2.

4. The method according to claim 1, characterized in that: Before obtaining the brightness correction data corresponding to the target mode position, the method further includes: Acquire the third brightness characteristic data corresponding to the second sample screen at each mode position through the application device, and acquire the fourth brightness characteristic data corresponding to each second sample screen through the experimental device; According to each of the third brightness characteristic data and each of the fourth brightness characteristic data, it is determined whether the application device and the experimental device are calibrated in accordance with the standard.

5. The method according to claim 4, characterized in that The determining, according to each of the third brightness characteristic data and each of the fourth brightness characteristic data, whether the application device and the experimental device are calibrated in accordance with the benchmark includes: Determine application statistical data corresponding to the application device according to each of the third brightness characteristic data, and determine experimental statistical data corresponding to the experimental device according to each of the fourth brightness characteristic data; Determine comprehensive statistical data according to each of the third brightness characteristic data and each of the fourth brightness characteristic data; According to the application statistical data, the experimental statistical data and the comprehensive statistical data, it is determined whether the application equipment and the experimental equipment are calibrated in accordance with the standards.

6. The method according to claim 5, characterized in that The determining, based on the application statistical data, the experimental statistical data, and the comprehensive statistical data, whether the application device and the experimental device are calibrated in accordance with the benchmark includes: Calculating the statistical data mean of the application statistical data and the experimental statistical data; If the mean of the statistical data is less than or equal to the comprehensive statistical data, determining that the application device is calibrated with the experimental device; If the mean of the statistical data is greater than the comprehensive statistical data, it is determined that the application device and the experimental device are not calibrated.

7. A data correction device, characterized in that: The device comprises: A first acquisition module is used to acquire target brightness characteristic data corresponding to a target screen through an application device; A second acquisition module is used to acquire brightness correction data corresponding to the target mode position according to the target mode position corresponding to the target screen body; The correction module is used to correct the target brightness characteristic data according to the brightness correction data and the correction strategy corresponding to the experimental equipment.

8. 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 6 are implemented.

9. 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 6 are implemented.

10. 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 6 are implemented.

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