White balance correction method and device of display equipment, equipment and medium

Abstract

The invention discloses a white balance correction method and device of display equipment, equipment and a medium. The invention belongs to the technical field of display equipment. The method comprises the following steps: acquiring color information of the display equipment; comparing the color information with at least two areas pre-divided in a standard color space, and determining a target area; and reading a white balance correction value associated with the target area, and performing white balance correction of the display device based on the white balance correction value. According to the technical scheme, the target area and the white balance correction value corresponding to the target area are determined according to the color information of the display equipment, and correction is carried out according to the white balance correction value associated with the target area, so that the white balance correction calculation process of the display equipment is simpler and more convenient, and the white balance correction accuracy is ensured; and the correction speed and the correction passing rate are improved, so that the production line productivity of the display equipment is improved.

Description

Technical Field

[0001] The present application belongs to the technical field of display devices, and specifically relates to a white balance correction method, device, equipment and medium for a display device. Background Art

[0002] With the continuous advancement and innovation of technology, display devices are constantly evolving in size, resolution, color performance and functions, providing people with a more high-quality, realistic and immersive visual experience. Different display devices have different color temperature characteristics and color output. Therefore, in order for the same image to show consistent colors on different display devices, the display device needs to be white balanced.

[0003] The white balance correction method currently used in display device production lines is to send out a specified white field inside the chip, obtain the color coordinates of the current display device from the color analyzer, and compare them with the preset white balance standard. If they do not match, the Gain and Offset values ​​of the three channels R, G, and B are adjusted one by one until the color temperature meets the requirements.

[0004] However, this method will cause the calibration time of each display device on the production line to be too long, and if a display device cannot be calibrated successfully, the production line progress will be stagnant, wasting production line resources. Therefore, how to quickly and efficiently perform white balance calibration on display devices is a technical problem that technicians in this field need to solve urgently. Summary of the invention

[0005] The purpose of the embodiments of the present application is to provide a method, apparatus, device and medium for white balance correction of a display device. In order to solve the problem that the white balance correction cycle of the display device is long and the efficiency is low, which affects the production line progress of the display device, a method for performing white balance correction based on the area to which the color information of the display device belongs in the standard color space is proposed. This method can improve the correction speed of the display device and the pass rate of the correction process.

[0006] In a first aspect, an embodiment of the present application provides a method for correcting white balance of a display device, the method comprising:

[0007] Get the color information of the display device;

[0008] Comparing the color information with at least two areas pre-divided in a standard color space to determine a target area;

[0009] A white balance correction value associated with the target area is read, and white balance correction of the display device is performed based on the white balance correction value.

[0010] In a second aspect, an embodiment of the present application provides a white balance correction device for a display device, the device comprising:

[0011] A color information acquisition module, used to acquire color information of a display device;

[0012] A target area determination module, used to compare the color information with at least two areas pre-divided in a standard color space to determine a target area;

[0013] The white balance correction module is used to read the white balance correction value associated with the target area and perform white balance correction of the display device based on the white balance correction value.

[0014] In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect.

[0015] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0016] In a fifth aspect, an embodiment of the present application provides a chip, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the method described in the first aspect.

[0017] In an embodiment of the present application, the color information of the display device is obtained; the color information is compared with at least two areas pre-divided in the standard color space to determine the target area; the white balance correction value associated with the target area is read, and the white balance correction of the display device is performed based on the white balance correction value. The above-mentioned white balance correction method of the display device can make the calculation process of the white balance correction of the display device simpler by determining the target area and the white balance correction value corresponding to the target area according to the color information of the display device, and performing correction according to the white balance correction value associated with the target area, thereby ensuring the accuracy of the white balance correction, improving the correction speed and correction pass rate, and thus improving the production line productivity of the display device. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a flowchart of a white balance correction method for a display device provided in Embodiment 1 of the present application;

[0019] Figure 2 is an example diagram of the standard color space provided in Example 1 of the present application;

[0020] Figure 3 This is an example diagram of the regional coordinate information table provided in Example 1 of the present application;

[0021] Figure 4 is a flowchart of a process of dividing at least two regions in a standard color space provided in Embodiment 2 of the present application;

[0022] Figure 5 is a flowchart of a white balance correction method for a display device provided in Embodiment 3 of the present application;

[0023] Figure 6 It is a structural schematic diagram of a white balance correction device for a display device provided in Embodiment 4 of the present application.

[0024] Figure 7 It is a structural diagram of an electronic device provided in Example 5 of the present application. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical scheme and advantages of the present application clearer, the specific embodiments of the present application are further described in detail below in conjunction with the accompanying drawings. It is understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for the convenience of description, only the part related to the present application but not all the contents are shown in the accompanying drawings. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow chart describes each operation (or step) as a sequential process, many of the operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of each operation can be rearranged. The process can be terminated when its operation is completed, but it can also have additional steps not included in the accompanying drawings. The process can correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.

[0026] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

[0027] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0028] In the following, in conjunction with the accompanying drawings, the white balance correction method, device, equipment and medium of the display device provided by the embodiments of the present application are described in detail through specific embodiments and their application scenarios.

[0029] Embodiment 1

[0030] Figure 1 It is a flowchart of the white balance correction method of the display device provided in the first embodiment of the present application.

[0031] like Figure 1 As shown, the specific steps include:

[0032] S101, obtaining color information of a display device.

[0033] First, the use scenario of this solution can be a scenario of performing white balance correction on a display device. Based on the above use scenario, it can be understood that the execution subject of this application can be an industrial computer. Specifically, the comparison of color information, the determination of the target area, and the determination of the white balance correction value can be performed by the industrial computer, and the display device changes the color information according to the white balance correction value to achieve white balance correction.

[0034] An industrial computer is a computer system specially used in the field of industrial control and automation. Specifically, the industrial computer in the present technical solution is a computer system specially used for adjusting the white balance of a display device.

[0035] During the process of photography and video recording, different light sources will produce different color temperatures. White balance is used to adjust the color temperature of the image to eliminate the color temperature deviation of the image.

[0036] Display devices refer to devices used to display images, text, and other visual information. Common display devices include monitors, TVs, projectors, smartphones, and tablet computers.

[0037] Color information can be information describing the color characteristics of a display device image. Color information can be represented by digital data, such as the RGB color model, CMYK model, and LAB model.

[0038] Specifically, taking the LAB model as an example, the color information can be the a value and b value in the CIE LAB color space. The CIELAB color space is a uniform color space recommended by the International Commission on Illumination in 1976. The space is a three-dimensional rectangular coordinate system that uses lightness L and chromaticity coordinates a and b to represent the position of a color in the color space. L represents the brightness or lightness of a color, ranging from 0 to 100. A lower L value represents a darker color, while a higher L value represents a brighter color; a represents the movement from red to green, ranging from -128 to +127. A lower a value represents a greener color, while a higher a value represents a redder color; b represents the movement from yellow to blue, ranging from -128 to +127. A lower b value represents a bluer color, while a higher b value represents a yellower color.

[0039] In this scheme, the method for obtaining color information can be to measure the display information of the display device through an external device, or to read internal data and determine it based on the read display information, such as reading the brightness information received by the display screen of the display device, and the value of each channel, etc., and further determine it based on the comparison between the color information of the standard picture and the color information of the display device read.

[0040] Specifically, in this solution, a color analyzer can be used to obtain color information. Among them, a color analyzer is a device used to measure, analyze and evaluate color characteristics. The color analyzer uses different sensors and technologies to obtain and analyze color information, including spectral measurement, chromaticity measurement, color temperature measurement, color calibration and matching, and color quality evaluation. Select or set the CIE LAB model on the color analyzer, place the display device in the measurement area of ​​the color analyzer for measurement, and the color analyzer displays or outputs the a value and b value in the CIE LAB model, that is, the color information of the display device.

[0041] S102: Compare the color information with at least two areas pre-divided in a standard color space to determine a target area.

[0042] The standard color space may be a plane rectangular coordinate system established based on the CIE LAB color space. Figure 2 is an example diagram of the standard color space provided in the first embodiment of the present application, such as Figure 2 As shown, the standard color space uses the a value of the CIE LAB color space as the horizontal axis and the b value of the CIE LAB color space as the vertical axis.

[0043] The process of dividing the standard color space into at least two areas may include: determining a candidate distribution range of color information of a display device to be corrected in the standard color space; dividing the candidate distribution range according to an area division rule to obtain at least two initial areas; counting the initial color information distribution results of the sample display devices in each initial area; and determining the white balance correction value associated with each initial area based on the white balance correction parameters of the sample display devices distributed in each initial area.

[0044] The process of dividing the standard color space into at least two areas may also include: determining a candidate distribution range of color information of the display device to be corrected in the standard color space; dividing the candidate distribution range according to the area division rule to obtain at least two initial areas; counting the initial color information distribution results of the sample display devices of the current production parameter information in each initial area; determining the white balance correction values ​​associated with the sample display devices of the current production parameter information in each initial area based on the white balance correction parameters of the sample display devices of the current production parameter information distributed in each initial area; traversing all the sample display devices of the production parameter information to obtain the white balance correction values ​​associated with the sample display devices of all the production parameter information in each initial area.

[0045] The coordinate information of the divided areas can be recorded into a table. Figure 3 is an example diagram of the regional coordinate information table provided in the first embodiment of the present application, such as Figure 3 As shown, the regional coordinate information table records Figure 2 The numbers of the four areas divided in the figure and the coordinates of the four vertices are Area1, Area2, Area3 and Area4. The four vertices of a certain area are Conrner1, Conrner2, Conrner3 and Conrner4. ， represents the a value of the vertex, v ， Indicates the b value of the vertex.

[0046] The target area may be an area in the standard color space that contains the color information of the display device. The method for comparing and determining the target area may be to mark the color information of the display device as a point P in the standard color space, determine the coordinates of the four sides of each area according to the coordinates of the four corners of each area, draw any ray from point P, calculate the total number of intersections between the ray and the four sides of a certain area, and if the total number of intersections is an odd number, determine the area as the target area, and if the total number of intersections is an even number, continue to calculate the total number of intersections between the ray and the four sides of the next area until the target area is determined or all areas are calculated.

[0047] S103: Read the white balance correction value associated with the target area, and perform white balance correction of the display device based on the white balance correction value.

[0048] The white balance correction value may be an RGB gain / offset value of a target area, where RGB gain and RGB offset are parameters for adjusting the color balance of an image.

[0049] RGB gain refers to the gain adjustment of the three color channels of red, green, and blue, which is used to control the brightness of each channel. By increasing or decreasing the gain value of each channel, the brightness of the corresponding channel can be changed, thereby adjusting the overall color balance of the image. For example, if the gain value of the red channel is increased, the red in the image will become brighter; if the gain value of the green channel is reduced, the green in the image will become darker.

[0050] RGB offset refers to the offset adjustment of the three color channels of red, green, and blue, which is used to control the black level of each channel. By increasing or decreasing the offset value of each channel, the black level of the corresponding channel can be changed, thereby adjusting the overall color balance of the image. For example, if the offset value of the red channel is increased, the red in the image will become darker; if the offset value of the green channel is decreased, the green in the image will become brighter.

[0051] The number of each area can be associated with the corresponding RGB gain / offset value and stored as a table. The RGB gain / offset value associated with the target area can be read and queried by using the number of the target area as a keyword.

[0052] To perform white balance correction, you can apply white balance correction values ​​to the red, green and blue channels respectively. You can use the following formula to calculate:

[0053] Adjusted red / green / blue channel values

[0054] = original red / green / blue channel value × RGB gain value of red / green / blue

[0055] + RGB offset values ​​for red / green / blue

[0056] In the present technical solution, optionally, the white balance correction value includes a set of white balance correction values ​​of color temperature or multiple sets of white balance correction values ​​of color temperature.

[0057] The multiple color temperature groups can be color temperatures divided into different levels. For example, the multiple color temperature groups can include three groups, namely Cool, Standard, and Warm. Using Cool (cold tones) will make the color of the image tend to be blue. This adjustment can give the image a calm and fresh feeling. It is usually used to emphasize scenes with cool tones or create a cool atmosphere. Standard (standard tone) is a white balance setting close to natural light. It aims to make the color of the image look neutral and balanced, without obvious cold or warm bias. It is usually a regular choice for dealing with most daily scenes. Using Warm (warm tones) in the image will make the color of the image tend to be yellow or orange. This adjustment can make the image look warmer and softer. It is usually used to emphasize a warm atmosphere or create an artistic effect.

[0058] One set of color temperatures uses the Standard color tone mentioned above.

[0059] The advantage of such a configuration of the present solution is that, by setting a group of white balance correction values ​​for color temperatures or multiple groups of white balance correction values ​​for color temperatures, the present technical solution can be applied to scenes with different white balance correction requirements.

[0060] In the present technical solution, optionally, white balance correction of the display device is performed based on the white balance correction value, including: obtaining a target color temperature; calling the white balance correction value of the target color temperature, and performing white balance correction on the display device using the white balance correction value of the target color temperature.

[0061] The target color temperature may be the color temperature used by the display device after adjustment. The target color temperature may be set by a staff member, and the target color temperature may be obtained by reading the setting result of the staff member.

[0062] The number of each area can be associated with multiple groups of color temperatures and the RGB gain / offset values ​​corresponding to each color temperature and stored as a table. The RGB gain / offset value of the target color temperature associated with the target area can be read and queried by using the number of the target area and the target color temperature as keywords.

[0063] To perform white balance correction, you can apply the white balance correction value of the target color temperature to the three channels of red, green and blue respectively. You can use the following formula to calculate:

[0064] Adjusted red / green / blue channel values

[0065] = original red / green / blue channel value × RGB gain value of red / green / blue

[0066] + RGB offset values ​​for red / green / blue

[0067] The benefit of such a configuration of the present solution is that by using the white balance correction value of the target color temperature to perform white balance correction on the display device, the display device can have different color temperatures, thereby improving the application range of the display device.

[0068] In the technical solution, optionally, after reading the white balance correction value associated with the target area, the method further includes:

[0069] The white balance correction value associated with the target area is written into a non-erasable partition of the display device.

[0070] A non-erasable partition refers to an area divided in a computer storage device (such as a hard disk drive, a solid-state drive, etc.) of a display device, in which data cannot be deleted or modified by a normal erase operation.

[0071] Generally, storage devices are divided into multiple partitions to store information such as operating systems, applications, and user data. These partitions are usually readable and writable, allowing users to create, modify, and delete files. However, in some cases, it is necessary to create a non-erasable partition in a storage device to protect specific data from accidental deletion or tampering. This partition is often used to store critical system data, recovery or repair tools, encryption keys, or sensitive information to ensure their security and integrity.

[0072] Write operations can be performed by using command-line tools, file managers, or programming interfaces.

[0073] The benefit of such a setting of the present solution is that by writing the white balance correction value associated with the target area into the non-erasable partition of the display device, the white balance correction value can be prevented from being deleted, thereby ensuring that the color temperature of the display device is normal.

[0074] In an embodiment of the present application, the color information of the display device is obtained; the color information is compared with at least two areas pre-divided in the standard color space to determine the target area; the white balance correction value associated with the target area is read, and the white balance correction of the display device is performed based on the white balance correction value. The above-mentioned white balance correction method of the display device can make the calculation process of the white balance correction of the display device simpler by determining the target area and the white balance correction value corresponding to the target area according to the color information of the display device, and performing correction according to the white balance correction value associated with the target area, thereby ensuring the accuracy of the white balance correction, improving the correction speed and correction pass rate, and thus improving the production line productivity of the display device.

[0075] Embodiment 2

[0076] Figure 4It is a flowchart of the process of dividing at least two regions in the standard color space provided by the second embodiment of the present application. This solution makes a better improvement on the first embodiment, and the specific improvement is: the process of dividing at least two regions in the standard color space includes: determining the candidate distribution range of the color information of the display device to be corrected in the standard color space; dividing the candidate distribution range according to the region division rule to obtain at least two initial regions; counting the initial color information distribution results of the sample display devices in each initial region; and determining the white balance correction value associated with each initial region according to the white balance correction parameters of the sample display devices distributed in each initial region.

[0077] like Figure 4 As shown, the specific steps include:

[0078] S401, determining a candidate distribution range of color information of a display device to be calibrated in the standard color space.

[0079] The candidate distribution range is a region in the standard color space that can contain the color information of any display device to be calibrated. The candidate distribution range can be determined by the staff based on experience and historical data.

[0080] S402: Divide the candidate distribution range according to a region division rule to obtain at least two initial regions.

[0081] The initial area is the undivided area obtained after division according to the division rules.

[0082] The division rule may specify the number of initial regions after division. It is understandable that the more initial regions there are, the smaller the area of ​​the initial regions obtained is, the more accurate the white balance correction value of the initial regions with smaller areas is, and the better the correction effect of the display device to be corrected is.

[0083] It can be understood that the closer the color information of the display device to be corrected is to the edge of the candidate distribution range, the greater the difference between the color temperature of the display device to be corrected and the standard color temperature, the larger the determined white balance correction value, and the more obvious the correction effect. Conversely, the closer the color information of the display device to be corrected is to the center of the candidate distribution range, the smaller the difference between the color temperature of the display device to be corrected and the standard color temperature, the smaller the determined white balance correction value, and the less obvious the correction effect. Therefore, the division rule can also stipulate that the area of ​​the initial area close to the edge of the candidate distribution range is smaller, and the area of ​​the initial area close to the center of the candidate distribution range is larger, so that the degree of obviousness of the correction effect of different display devices to be corrected in an initial area tends to be consistent.

[0084] The division method can be to input the candidate distribution range and the division rule into the neural network model, and the output result of the neural network model is the division result. The division result records the number of each initial area and the coordinates of the four corners; the neural network model can be a computational model based on the structure and function of biological neurons, which realizes data processing and analysis through the connection and information transmission between multiple nodes.

[0085] S403: Count the initial color information distribution results of the sample display devices in each initial area.

[0086] The color information of each sample display device is punctuated in a standard color space.

[0087] The statistical result of the initial color information distribution is the number of punctuation points in each initial area.

[0088] S404: Determine a white balance correction value associated with each initial area according to white balance correction parameters of the sample display devices distributed in each initial area.

[0089] The white balance correction parameter is the white balance correction value of each sample display device in each initial area calibrated to a standard color temperature (or each color temperature in a plurality of color temperature groups). The white balance correction parameter can be determined by inputting the color information of each sample display device into an automatic white balance algorithm, and the automatic white balance algorithm outputs feedback on the white balance correction parameter.

[0090] The automatic white balance algorithm is a technology used to correct the color temperature deviation in the image. Common automatic white balance algorithms include the gray world algorithm, the white point algorithm, the edge detection algorithm, and the histogram equalization algorithm. The gray world algorithm is an algorithm based on the assumption that the average brightness of the entire image should be neutral gray. The algorithm calculates the average brightness of all pixels in the image and adjusts the image according to the average to achieve white calibration; the white point algorithm determines the white balance based on the brightest pixel in the image, assuming that the brightest pixel should be white and using its brightness as a reference value for calibration; the edge detection algorithm determines the white balance by detecting the edges in the image, assuming that the color of the edge area should be neutral, and using the color information of the edge area for calibration; the histogram equalization algorithm equalizes the color histogram of the image to make the color distribution in the image more uniform. By adjusting the color distribution of the image, the white balance effect can be achieved.

[0091] The white balance correction value associated with each initial area is the average value of the white balance correction parameters of each sample display device in the initial area.

[0092] In the technical solution, optionally, after determining the white balance correction value associated with each initial area according to the white balance correction parameters of the sample display devices distributed in each initial area, the method further includes:

[0093] If there are sample display devices distributed in the initial area reaching a first number, and sample display devices distributed in the split area within the initial area reaching a second number, the initial area is divided into at least two split areas based on the split area;

[0094] According to the white balance correction parameters of the sample display devices distributed in each split area, a white balance correction value associated with each split area is determined.

[0095] The first number and the second number may be associated with the total number of sample display devices and the number of initial regions. The second number must be smaller than the first number. Based on the association, it can be understood that the smaller the first number is, the more initial regions need to be split, and the smaller the second number is, the more regions need to be split.

[0096] For example, the first number may be a ratio of the total number of sample display devices to the number of initial areas. The second number may be set according to the requirement of the calibration accuracy. The smaller the second number, the higher the calibration accuracy.

[0097] The white balance correction parameters can be determined by inputting the color information of each sample display device into an automatic white balance algorithm, and the automatic white balance algorithm outputs the white balance correction parameters as feedback. The white balance correction value associated with the split area is the average value of the white balance correction parameters of each sample display device in the split area.

[0098] The advantage of such a setting is that by splitting the initial area where there are too many sample display devices, it is possible to avoid the situation where the white balance correction values ​​obtained by too many display devices are consistent, thereby causing a decrease in the correction effect.

[0099] The benefit of this arrangement of the present solution is that by determining and dividing the candidate distribution range and calculating the white balance correction value of the initial area, a data basis can be provided for the subsequent determination of the white balance correction value of the display device, thereby increasing the speed of determining the white balance correction value.

[0100] Embodiment 3

[0101] Figure 5This is a flow chart of the white balance correction method for a display device provided in Example 3 of the present application. This solution makes a better improvement on the above-mentioned embodiment, and the specific improvement is: before comparing the color information with at least two areas pre-divided in the standard color space, the method also includes: obtaining production parameter information of the display device; the production parameter information includes model information and / or batch information; correspondingly, reading the white balance correction value associated with the target area includes: in the target area, reading the white balance correction value corresponding to the current production parameter information.

[0102] like Figure 5 As shown, the specific steps include:

[0103] S501, obtaining color information of a display device.

[0104] S502, obtaining production parameter information of the display device; the production parameter information includes model information and / or batch information.

[0105] The production parameter information refers to the parameters and related information used during or after the production process of the display device, and may include model information and / or batch information.

[0106] Model information refers to the specific model identification and related description of the display device, including a series of identifiers, codes or naming rules used to identify and distinguish different models of products or devices. Model information can provide information such as model name or number, product feature description, configuration and options, compatibility and interoperability, and factory date and version.

[0107] Batch information refers to the identification and related information of a specific batch of display devices during the production process. It is used to trace and track display devices of the same batch and provides information about their production, source, quality, etc. Batch information can provide information such as batch number, production date and time, raw material or ingredient information, production parameters and records, and quality inspection and test results.

[0108] The production parameter information is generally stored in the equipment documents and specification sheets, and the production parameter information can be obtained by querying the equipment documents and specification sheets.

[0109] S503: Compare the color information with at least two areas pre-divided in a standard color space to determine a target area.

[0110] In the technical solution, optionally, the process of dividing the at least two regions in the standard color space includes:

[0111] Determining a candidate distribution range of color information of a display device to be calibrated in the standard color space;

[0112] Divide the candidate distribution range according to the area division rule to obtain at least two initial areas;

[0113] Count the initial color information distribution results of the sample display device of the current production parameter information in each initial area;

[0114] Determine the white balance correction value associated with the sample display device of the current production parameter information in each initial area according to the white balance correction parameters of the sample display device of the current production parameter information distributed in each initial area;

[0115] All sample display devices of production parameter information are traversed to obtain white balance correction values ​​associated with the sample display devices of production parameter information in each initial area.

[0116] The color information of each sample display device of the current production parameter information is punctuated in the standard color space. The statistical initial color information distribution result is the number of punctuations in each initial area.

[0117] The white balance correction parameter is a white balance correction value of each sample display device of the current production parameter information in each initial area corrected to a standard color temperature (or each color temperature in a plurality of color temperature groups). The white balance correction parameter can be determined by inputting the color information of each sample display device of the current production parameter information into an automatic white balance algorithm, and the automatic white balance algorithm outputs the white balance correction parameter as feedback.

[0118] The white balance correction value associated with the sample display device of the current production parameter information in each initial area is the average value of the white balance correction parameters of each sample display device of the current production parameter information in the initial area.

[0119] The method for traversing the sample display devices of all production parameter information is to count the initial color information distribution results of the sample display devices of the next production parameter information in each initial area, and determine the white balance correction value associated with the sample display device of the next production parameter information in each initial area according to the white balance correction parameters of the sample display devices of the next production parameter information distributed in each initial area, and repeat the above process until the white balance correction values ​​associated with the sample display devices of all production parameter information in each initial area are determined.

[0120] The advantage of this setting is that by determining the white balance correction values ​​associated with sample display devices of all production parameter information in each initial area, sample display devices with different production parameter information in the same initial area no longer use consistent white balance correction values, making the white balance correction value determined by the current display device more accurate.

[0121] In the technical solution, optionally, after determining the white balance correction value associated with the sample display device of the current production parameter information in each initial area according to the white balance correction parameters of the sample display device of the current production parameter information distributed in each initial area, the method further includes:

[0122] If there are sample display devices of current production parameter information distributed in the initial area reaching a first number, and sample display devices of current production parameter information distributed in the split area within the initial area reaching a second number, the initial area is divided into at least two split areas based on the split area;

[0123] According to the white balance correction parameters of the sample display devices of the current production parameter information distributed in the split areas, the white balance correction values ​​associated with the sample display devices of the current production parameter information in the split areas are determined.

[0124] The method of determining the white balance correction parameters can be to input the color information of each sample display device of the current production parameter information into the automatic white balance algorithm, and the automatic white balance algorithm feeds back and outputs the white balance correction parameters. The white balance correction value associated with the sample display device of the current production parameter information in the split area is the average value of the white balance correction parameters associated with the sample display device of the current production parameter information in the split area.

[0125] The advantage of this setting is that by splitting the initial area of ​​the sample display device with too much current production parameter information, it is possible to avoid the situation where the white balance correction values ​​obtained by the display devices with too much current production parameter information are consistent, thereby resulting in a decrease in the correction effect.

[0126] S504: Reading a white balance correction value corresponding to the current production parameter information in the target area.

[0127] The area number, production parameter information and RGB gain / offset value can be associated and stored as a table. By using the area number and production parameter information of the target area as keywords, the RGB gain / offset value associated with the current production parameter information in the target area can be read and queried.

[0128] S505: Perform white balance correction on the display device based on the white balance correction value.

[0129] The advantage of this arrangement of the present solution is that, in the target area, the white balance correction value corresponding to the current production parameter information is read, and on the basis of the first embodiment, the white balance correction value in the area can be further divided according to the production parameter information, so that the determined white balance correction value is more accurate.

[0130] Embodiment 4

[0131] Figure 6 It is a structural schematic diagram of a white balance correction device for a display device provided in Embodiment 4 of the present application.

[0132] like Figure 6 As shown, the device comprises:

[0133] A color information acquisition module 610 is used to acquire color information of a display device;

[0134] A target region determination module 620, configured to compare the color information with at least two regions pre-divided in a standard color space to determine a target region;

[0135] The white balance correction module 630 is configured to read the white balance correction value associated with the target area, and perform white balance correction on the display device based on the white balance correction value.

[0136] Furthermore, the device also includes:

[0137] A production parameter information acquisition module, used to acquire production parameter information of a display device; the production parameter information includes model information and / or batch information;

[0138] Accordingly, the white balance correction module 630 is specifically used for:

[0139] In the target area, a white balance correction value corresponding to the current production parameter information is read.

[0140] Furthermore, the device also includes:

[0141] The white balance correction value writing module is used to write the white balance correction value associated with the target area into the non-erasable partition of the display device.

[0142] Furthermore, the device further includes a region division module, which is used for a process of dividing at least two regions in the standard color space and is specifically used for:

[0143] Determining a candidate distribution range of color information of a display device to be calibrated in the standard color space;

[0144] Divide the candidate distribution range according to the area division rule to obtain at least two initial areas;

[0145] Count the initial color information distribution results of the sample display devices in each initial area;

[0146] According to the white balance correction parameters of the sample display devices distributed in each initial area, a white balance correction value associated with each initial area is determined.

[0147] Furthermore, the area division module is also used for:

[0148] If there are sample display devices distributed in the initial area reaching a first number, and sample display devices distributed in the split area within the initial area reaching a second number, the initial area is divided into at least two split areas based on the split area;

[0149] According to the white balance correction parameters of the sample display devices distributed in each split area, a white balance correction value associated with each split area is determined.

[0150] Furthermore, the area division module is used to:

[0151] Determining a candidate distribution range of color information of a display device to be calibrated in the standard color space;

[0152] Divide the candidate distribution range according to the area division rule to obtain at least two initial areas;

[0153] Count the initial color information distribution results of the sample display device of the current production parameter information in each initial area;

[0154] Determine the white balance correction value associated with the sample display device of the current production parameter information in each initial area according to the white balance correction parameters of the sample display device of the current production parameter information distributed in each initial area;

[0155] All sample display devices of production parameter information are traversed to obtain white balance correction values ​​associated with the sample display devices of production parameter information in each initial area.

[0156] Furthermore, the area division module is also used for:

[0157] If there are sample display devices of current production parameter information distributed in the initial area reaching a first number, and sample display devices of current production parameter information distributed in the split area within the initial area reaching a second number, the initial area is divided into at least two split areas based on the split area;

[0158] According to the white balance correction parameters of the sample display devices of the current production parameter information distributed in the split areas, the white balance correction values ​​associated with the sample display devices of the current production parameter information in the split areas are determined.

[0159] Furthermore, the white balance correction value includes a set of white balance correction values ​​of color temperatures or multiple sets of white balance correction values ​​of color temperatures.

[0160] Furthermore, the white balance correction module 630 is specifically used for:

[0161] Get the target color temperature;

[0162] The white balance correction value of the target color temperature is retrieved, and the white balance correction value of the target color temperature is used to perform white balance correction on the display device.

[0163] In an embodiment of the present application, a color information acquisition module is used to acquire color information of a display device; a target area determination module is used to compare the color information with at least two areas pre-divided in a standard color space to determine a target area; and a white balance correction module is used to read a white balance correction value associated with the target area, and perform white balance correction of the display device based on the white balance correction value. The white balance correction device of the above-mentioned display device can make the calculation process of white balance correction of the display device simpler by determining the target area and the corresponding white balance correction value of the target area according to the color information of the display device, and performing correction according to the white balance correction value associated with the target area, thereby ensuring the accuracy of the white balance correction, improving the correction speed and correction pass rate, and thus improving the production line productivity of the display device.

[0164] The white balance correction device of the display device in the embodiment of the present application can be a device, or a component, integrated circuit, or chip in a terminal. The device can be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device can be a mobile phone, a tablet computer, a laptop computer, a PDA, an in-vehicle electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant (PDA), etc. The non-mobile electronic device can be a server, a network attached storage (NAS), a personal computer (PC), a television (TV), a teller machine or a self-service machine, etc., which is not specifically limited in the embodiment of the present application.

[0165] The white balance correction device of the display device in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, an IOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

[0166] The white balance correction device for a display device provided in the embodiment of the present application can implement each process implemented in the above-mentioned embodiments one to three, and will not be described again here to avoid repetition.

[0167] Embodiment 5

[0168] like Figure 7As shown, an embodiment of the present application also provides an electronic device 700, including a processor 701, a memory 702, and a program or instruction stored in the memory 702 and executable on the processor 701. When the program or instruction is executed by the processor 701, each process of the embodiment of the white balance correction device of the above-mentioned display device is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0169] It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and non-mobile electronic devices mentioned above.

[0170] Embodiment 6

[0171] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, each process of the embodiment of the white balance correction device of the above-mentioned display device is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0172] The processor is a processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0173] Embodiment 7

[0174] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the embodiment of the white balance correction device of the above-mentioned display device, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0175] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0176] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0177] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0178] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

[0179] The above are only preferred embodiments of the present application and the technical principles used. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions that can be made by those skilled in the art will not deviate from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the claims.

Claims

1. A method for correcting white balance of a display device, characterized in that: The method comprises: Get the color information of the display device; Comparing the color information with at least two areas pre-divided in a standard color space to determine a target area; A white balance correction value associated with the target area is read, and white balance correction of the display device is performed based on the white balance correction value.

2. The method according to claim 1, characterized in that: Before comparing the color information with at least two pre-divided regions in the standard color space, the method further includes: Acquire production parameter information of the display device; the production parameter information includes model information and / or batch information; Accordingly, reading the white balance correction value associated with the target area includes: In the target area, a white balance correction value corresponding to the current production parameter information is read.

3. The method according to claim 1, characterized in that After reading the white balance correction value associated with the target area, the method further includes: The white balance correction value associated with the target area is written into a non-erasable partition of the display device.

4. The method according to claim 1, characterized in that: The process of dividing at least two areas in the standard color space includes: Determining a candidate distribution range of color information of a display device to be calibrated in the standard color space; Divide the candidate distribution range according to the area division rule to obtain at least two initial areas; Count the initial color information distribution results of the sample display devices in each initial area; According to the white balance correction parameters of the sample display devices distributed in each initial area, a white balance correction value associated with each initial area is determined.

5. The method according to claim 4, characterized in that After determining the white balance correction value associated with each initial area according to the white balance correction parameters of the sample display devices distributed in each initial area, the method further includes: If there are sample display devices distributed in the initial area reaching a first number, and sample display devices distributed in the split area within the initial area reaching a second number, the initial area is divided into at least two split areas based on the split area; According to the white balance correction parameters of the sample display devices distributed in each split area, a white balance correction value associated with each split area is determined.

6. The method according to claim 2, characterized in that The process of dividing at least two areas in the standard color space includes: Determining a candidate distribution range of color information of a display device to be calibrated in the standard color space; Divide the candidate distribution range according to the area division rule to obtain at least two initial areas; Count the initial color information distribution results of the sample display devices of the current production parameter information in each initial area; Determine the white balance correction value associated with the sample display device of the current production parameter information in each initial area according to the white balance correction parameters of the sample display device of the current production parameter information distributed in each initial area; All sample display devices of production parameter information are traversed to obtain white balance correction values ​​associated with the sample display devices of production parameter information in each initial area.

7. The method according to claim 6, characterized in that After determining the white balance correction value associated with the sample display device of the current production parameter information in each initial area according to the white balance correction parameters of the sample display device of the current production parameter information distributed in each initial area, the method further includes: If there are sample display devices of current production parameter information distributed in the initial area reaching a first number, and sample display devices of current production parameter information distributed in the split area within the initial area reaching a second number, the initial area is divided into at least two split areas based on the split area; According to the white balance correction parameters of the sample display devices of the current production parameter information distributed in the split areas, the white balance correction values ​​associated with the sample display devices of the current production parameter information in the split areas are determined.

8. The method according to any one of claims 1 to 7, characterized in that The white balance correction value includes a set of white balance correction values ​​of color temperatures or a plurality of sets of white balance correction values ​​of color temperatures.

9. The method according to claim 8, characterized in that Performing white balance correction of a display device based on the white balance correction value includes: Get the target color temperature; The white balance correction value of the target color temperature is retrieved, and the white balance correction value of the target color temperature is used to perform white balance correction on the display device.

10. A white balance correction device for a display device, characterized in that: The device comprises: A color information acquisition module, used to acquire color information of a display device; A target area determination module, used to compare the color information with at least two areas pre-divided in a standard color space to determine a target area; The white balance correction module is used to read the white balance correction value associated with the target area and perform white balance correction of the display device based on the white balance correction value.

11. An electronic device, characterized in that: The invention comprises a processor, a memory and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the white balance correction method for a display device as described in any one of claims 1 to 9.

12. A readable storage medium, characterized in that: The readable storage medium stores a program or an instruction, and when the program or the instruction is executed by the processor, the steps of the white balance correction method for the display device according to any one of claims 1 to 9 are implemented.

Images