Novel accurate and efficient Gamma adjustment method for panel display products capable of mass production

Abstract

The invention provides a novel accurate and efficient Gamma adjustment method for panel display products capable of mass production, which comprises the following steps: acquiring screen characteristics, and generating an R / G / B / WB parameter comparison table; looking up the table according to a target color coordinate of a certain color temperature mode to obtain a maximum G value, calculating a [0-255] gray scale G value according to a gamma coefficient, and obtaining a G value traversal look-up table; the target color coordinates of the color temperature mode and the G value are traversed to look up a table to obtain [0-254] gray scale R value and B value, the adjustment efficiency is high, the adjustment method is suitable for all panel display products, 20-graph screen characteristic analysis (red, green and blue 3 graph cards + 17 gray scales) + first product circulation several times [AIDIFFXY] analysis is taken as an example, the total time length of 3-color-temperature gamma adjustment during mass production can be less than 10 seconds, and the adjustment efficiency is high. Compared with the prior art under the condition of the same characteristic analysis workload, the average efficiency is improved by more than 300%, and the industry leading level is reached.

Description

Technical Field

[0001] This invention relates to the field of Gamma calibration, and in particular to a novel, precise, efficient, and mass-producible Gamma calibration method for flat panel display products. Background Technology

[0002] In the manufacturing process of flat panel display products, Gamma calibration is a crucial step in ensuring the accuracy and consistency of displayed colors. Common Gamma calibration methods in existing technologies typically include the following steps: First, acquire the optical characteristics of the screen and generate a reference table for R, G, B, and WB parameters; then, based on the color coordinates of the target color temperature mode, calculate the G value at each gray level by looking up the table and the Gamma coefficient, and further iterate to obtain the R and B values ​​to fit and generate the Gamma data for the corresponding color temperature mode; finally, write the generated Gamma data into the display device, and determine whether the calibration is qualified by verifying the deviation between the color coordinates and the target value. If it exceeds the tolerance range, it is corrected by methods such as half-difference step adjustment.

[0003] The optical characteristics of products after gamma calibration using existing technical solutions have large deviations in the x and y coordinates, significant differences in color temperature at different gray levels, and insufficient visual effect. The efficiency of gamma calibration using existing technical solutions is low, and the calibration time increases as the deviation between the optical characteristics x and y of flat panel display products and the calibration target values ​​increases. Gamma calibration using existing technical solutions will become a bottleneck process in mass production, affecting the balance of the production line and requiring more manpower and resources, which will greatly increase production costs. Summary of the Invention

[0004] The technical problem to be solved by this invention is to overcome the defects of the existing technology. This invention proposes a new, precise, efficient and mass-producible Gamma calibration method for flat panel display products.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a novel, precise, efficient, and mass-producible method for Gamma calibration of flat panel display products, comprising: Obtain screen characteristics and generate an R / G / B / WB parameter lookup table; The maximum G value is obtained by looking up the target color coordinates of a certain color temperature mode, and the grayscale G value of [0-255] is calculated based on the gamma coefficient. The G value is then obtained by iterating through the table. The target color coordinates and G values ​​of the color temperature mode are traversed and looked up in the table to obtain the R and B values ​​of the gray levels [0-254], and then fitted to the gamma data of the [0-254] levels of the color temperature mode; The above steps are used to obtain the gamma data required for the target color coordinates of other color temperature modes; Write the gamma data through the tablet display product communication protocol to verify the deviation or average deviation of the x and y coordinates of a certain gray level in a certain color temperature mode from the target color coordinates. When the x and y coordinates of a certain gray level in a certain color temperature mode are within the range of the target color coordinate deviation value or the average deviation value, the debugging is successful.

[0006] Preferably, when the x and y coordinates of a certain gray level in a certain color temperature mode are not within the range of the target color coordinate deviation value or the average deviation value, the half difference method is used for step adjustment to achieve the target. If the target range cannot be achieved after n adjustments, an error is reported and the adjustment is performed again.

[0007] Preferably, when switching between different graphics cards, the color coordinates x and y are collected by a color analyzer at a user-preset frequency. The difference between the x and y coordinates before and after the switch is compared. When the difference is less than 0.001, the product response is considered complete and accurate color coordinates are obtained.

[0008] Preferably, the target color coordinates of the original color temperature configuration are used directly during the initial calibration; during the 2nd to nth calibrations, the x and y deviation values ​​obtained from the [AI_DIFF_XY] analysis are superimposed.

[0009] Preferably, the x and y deviation values ​​are the differences between the original target value and the current value.

[0010] Preferably, it is compatible with the graphics card that comes with the flat panel display product or verified using a professional signal generator.

[0011] Preferably, the mean of the x and y deviations under multiple grayscale conditions is compared with the target value to meet the needs of differentiation.

[0012] In a second aspect, the present invention provides an electronic device, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, they implement the steps of the novel, precise, efficient, and mass-producible flat panel display product Gamma calibration method.

[0013] Thirdly, the present invention provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the novel, precise, efficient, and mass-producible flat panel display product Gamma calibration method.

[0014] Compared with the prior art, the beneficial effects of the present invention include: 1. High calibration efficiency, applicable to all flat panel display products. Taking a 20-image screen characteristic analysis (red, green, and blue images + 17 grayscale images) + several cycles of [AI_DIFF_XY] analysis on the first product as an example, the total time for 3-color temperature gamma calibration in mass production can be less than 10 seconds (actual test of this invention in a mass production scenario, including screen feature analysis, table display and lookup, 3-color temperature gamma data calculation / writing / verification, etc.). Compared with the existing technology with the same characteristic analysis workload, it improves efficiency by an average of more than 300%, reaching the industry-leading level.

[0015] 2. Extremely high calibration accuracy, applicable to all flat panel display products. It is recommended to verify with 10 grayscale charts at 10%-100% brightness: The first product underwent multiple [AI_DIFF_XY] analyses to infinitely correct the x and y coordinate differences. The average x and y coordinate calibration accuracy of a single unit can reach within ±0.0005. When applied in batches, the average x and y coordinate calibration progress can reach within ±0.002, reaching the industry-leading level.

[0016] 3. Extremely Compressed Calibration Efficiency: Compatible with Passed.Gamma data writing technology, it can achieve an average calibration time of less than 5 seconds per unit for products in the same batch. A single color analyzer + signal generator + computer + tooling can meet the line balance requirements, greatly reducing the company's asset investment and continuously reducing labor, energy consumption and other costs, reaching the industry-leading level. Attached Figure Description

[0017] The disclosure of this invention is illustrated with reference to the accompanying drawings. It should be understood that the drawings are for illustrative purposes only and are not intended to limit the scope of protection of this invention. In the drawings, the same reference numerals are used to refer to the same parts. Wherein: Figure 1 The diagram illustrates the structure of a novel, precise, efficient, and mass-producible Gamma calibration method for flat panel display products according to an embodiment of the present invention.

[0018] Figure 2 The illustration shows a schematic diagram of an AI analysis process proposed according to one embodiment of the present invention.

[0019] Figure 3 The illustration shows a schematic diagram of a gamma data calculation process according to an embodiment of the present invention. Detailed Implementation

[0020] It is readily understood that, based on the technical solution of this invention, those skilled in the art can propose various interchangeable structural methods and implementations without altering the essential spirit of the invention. Therefore, the following detailed embodiments and accompanying drawings are merely illustrative examples of the technical solution of this invention and should not be considered as the entirety of the invention or as limitations or restrictions on the technical solution of this invention.

[0021] Example 1, referring to Figure 1 As an embodiment of the present invention, a novel, precise, efficient, and mass-producible Gamma calibration method for flat panel display products is provided, comprising: S100: Obtain screen characteristics and generate an R / G / B / WB parameter comparison table; S200: Obtain the maximum G value by looking up the target color coordinates according to a certain color temperature mode, and calculate the grayscale G value [0-255] based on the gamma coefficient, and then look up the G value by iterating through the table; S300: By iterating through the target color coordinates and G values ​​of the color temperature mode, the R and B values ​​of the gray levels [0-254] are obtained from the table, and then fitted to the gamma data of the [0-254] levels of the color temperature mode; S400: Obtain the gamma data required for the target color coordinates of other color temperature modes through the above steps; S500: Writes gamma data through the tablet display product communication protocol to verify the deviation or average deviation value of the x and y coordinates of a certain gray level in a certain color temperature mode from the target color coordinates. S600: When the x and y coordinates of a certain grayscale value in a certain color temperature mode are within the range of the target color coordinate deviation value or the average deviation value, the debugging is successful.

[0022] Example 2, refer to Figure 1-3 As an embodiment of the present invention, based on the above embodiment, a novel, precise, efficient and mass-producible Gamma calibration method for flat panel display products is provided.

[0023] S100: Obtain screen characteristics and generate an R / G / B / WB parameter comparison table; When switching between different graphics cards, the color coordinates x and y are collected by a color analyzer at a user-preset frequency. If the difference between the x and y coordinates before and after the switch is less than 0.001 (this value is an empirical value and can be adjusted appropriately according to product characteristics or the accuracy of the color analyzer), the product response is considered complete, thus ensuring that accurate color coordinates are obtained. It supports customizing the number of grayscale graphics cards other than red, green, and blue, with a range of 1-255 cards. Among the 1-255 graphics cards, at least one card must be at 100% brightness, meaning the maximum RGB output reaches 100% brightness white field.

[0024] Fewer graphics cards result in faster calibration, but with a slight loss of x and y coordinate accuracy and gamma curve smoothness. Conversely, more graphics cards result in slower calibration, but more accurate x and y coordinates and a smoother gamma curve. In practical applications, different numbers of graphics cards should be selected based on mass production or PQ development requirements (5-17 graphics cards offer a good balance between efficiency and accuracy; PQ development engineers can choose 65-255 graphics cards to ensure high accuracy).

[0025] S200: The maximum G value is obtained by looking up the table according to the target color coordinates of a certain color temperature mode (x and y deviation values ​​are superimposed during secondary calibration). (Here, the minimum G value configured by the user is used to ensure the maximum brightness of the product. The maximum R / B value is obtained by looking up the table and calculating according to the three primary color mixing principle.) The grayscale G value of [0-255] is calculated according to the gamma coefficient. ① Target color coordinates: The target color coordinates of the original color temperature configuration are used directly during the initial calibration; for the 2nd to nth calibrations, the x and y deviation values ​​obtained from the [AI_DIFF_XY] analysis are superimposed (original target value - current value).

[0026] ② Obtain the maximum R / G / B value: A. In the initial state, the R / G / B values ​​are all set to the maximum values ​​allowed by the flat panel display product (referred to as the maximum saturation values ​​throughout the text). B, Adjust the y value to achieve the target y value (execute the following steps in sequence): Calibration principles (followed by all flat panel display products): When the R value increases, the x-coordinate increases rapidly, while the y-coordinate increases slowly; when the G value increases, the x-coordinate increases slowly, while the y-coordinate increases rapidly; when the B value increases, both the x and y coordinates decrease relatively quickly.

[0027] B1, if the current y value is higher than the target y value, try to decrease the G value by an integer 1 and look up the table until the y coordinate reaches the target; B2, if the current y value is lower than the target y value, try to look up the table by decreasing the B value by an integer 1 and calculate until the y coordinate reaches the target; C, adjust the x value to achieve the target x value: C1, if the current x value is higher than the target x value, try to look up the table by decreasing the R value by an integer 1 and perform the calculation until the x coordinate reaches the target; C2, if the current x value is lower than the target x value, try to increment the B value by an integer 1 and look up the table until the x coordinate reaches the target or the B value reaches the maximum saturation value; C3, if x is still too low after adding the B value to the maximum saturation value in step b, reduce the G value and look up the table to calculate until the y coordinate meets the standard; D. All of the above C / D steps should follow the principle of minimum G value configured by the user (that is, when the user selects this configuration, there is a minimum guaranteed G value to ensure the maximum brightness of the product. Note: Follow the three primary color mixing brightness formula).

[0028] S300: Based on the target color coordinates of this color temperature mode, and combined with the G value obtained in step 2, traverse the table to obtain the R and B values ​​of the [0-254] gray levels, and fit them as gamma data of the [0-254] levels of this color temperature mode; ① Target color coordinates: The target color coordinates of the original color temperature configuration are used directly during the initial calibration; the x and y deviation values ​​(original target value - current value) obtained from the superposition of [AI_DIFF_XY] at each level during the 2nd to nth calibrations.

[0029] ② Linear interpolation: The software UI allows users to set a user-defined critical order for linear interpolation (below this order, R / G / B values ​​are all linearly interpolated). This configuration is suitable for situations where some lower orders still do not meet the x and y coordinate requirements after multiple [AI_DIFF_XY] analyses and recalibrations.

[0030] S400: Repeat steps S200-S300 to look up the gamma data required for the target color coordinates of other color temperature modes; ① Through the above S200-S300 steps, it is possible to achieve that only the 0th level R / G / B simultaneously reaches 0 in each color temperature mode, and only one or all of the R / G / B primary colors with the maximum gamma level reach the maximum saturation value. S500: Write the gamma data obtained in steps S300-S400 into the tablet display product communication protocol, and verify the deviation value or average deviation value of the x and y coordinates of each color temperature mode or a certain gray level or multiple gray levels of a certain color temperature mode from the target color coordinates. If it is within the range, it passes; otherwise, proceed to the next step.

[0031] ① Compatible with the graphics card that comes with the flat panel display product or verified using a professional signal generator.

[0032] ② Compare the mean of x and y deviations under multiple grayscale conditions with the target value to meet the needs of differentiation.

[0033] S600: Use the half-difference method to make step-by-step adjustments to achieve the target (if the target range cannot be reached after n adjustments, an error will be reported; n adjustments can be set by the user); if the x and y deviation values ​​obtained from the superimposed [AI_DIFF_XY] analysis for individual products cannot reach the target value after one adjustment, AI_DIFF_XY personalized processing can be performed again to achieve the management target.

[0034] This embodiment also provides an electronic device, including: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of implementing a new, accurate, efficient and mass-producible Gamma calibration method for flat panel display products are described.

[0035] This embodiment also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of a novel, precise, efficient, and mass-producible Gamma calibration method for flat panel display products.

[0036] The storage medium proposed in this embodiment and the method for achieving a novel, accurate, efficient and mass-producible flat panel display product Gamma calibration proposed in the above embodiments belong to the same inventive concept. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0037] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0038] The technical scope of this invention is not limited to the content described above. Those skilled in the art can make various modifications and variations to the above embodiments without departing from the technical concept of this invention, and all such modifications and variations should fall within the protection scope of this invention.

Claims

1. A novel, precise, efficient, and mass-producible Gamma calibration method for flat panel display products, characterized in that, include: Obtain screen characteristics and generate an R / G / B / WB parameter lookup table; The maximum G value is obtained by looking up the target color coordinates of a certain color temperature mode, and the grayscale G value of [0-255] is calculated based on the gamma coefficient. The G value is then obtained by iterating through the table. The target color coordinates and G values ​​of the color temperature mode are traversed and looked up in the table to obtain the R and B values ​​of the gray levels [0-254], and then fitted to the gamma data of the [0-254] levels of the color temperature mode; The above steps are used to obtain the gamma data required for the target color coordinates of other color temperature modes; Write the gamma data through the tablet display product communication protocol to verify the deviation or average deviation of the x and y coordinates of a certain gray level in a certain color temperature mode from the target color coordinates. When the x and y coordinates of a certain gray level in a certain color temperature mode are within the range of the target color coordinate deviation value or the average deviation value, the debugging is successful.

2. The novel, precise, efficient, and mass-producible Gamma calibration method for flat panel display products according to claim 1, characterized in that, When the x and y coordinates of a certain gray level in a certain color temperature mode are not within the target color coordinate deviation value or the average deviation range, the half-difference method is used for step adjustment to achieve the target. If the target range cannot be achieved after n adjustments, an error is reported, and the adjustment is performed again.

3. The novel, precise, efficient, and mass-producible Gamma calibration method for flat panel display products according to claim 1, characterized in that, When switching between different graphics cards, the color analyzer collects the color coordinates x and y at the user-preset frequency, compares the difference between the x and y coordinates before and after, and when the difference is less than 0.001, the product response is considered complete and accurate color coordinates are obtained.

4. The novel, precise, efficient, and mass-producible Gamma calibration method for flat panel display products according to claim 1, characterized in that, For the initial calibration, the target color coordinates of the original color temperature configuration are used directly; for the 2nd to nth calibrations, the x and y deviation values ​​obtained from the [AI_DIFF_XY] analysis are superimposed.

5. The novel, precise, efficient, and mass-producible Gamma calibration method for flat panel display products according to claim 4, characterized in that, The x and y deviation values ​​are the differences between the original target value and the current value.

6. The novel, precise, efficient, and mass-producible Gamma calibration method for flat panel display products according to claim 1, characterized in that, It is compatible with the graphics card that comes with the flat panel display product or can be verified using a professional signal generator.

7. The novel, precise, efficient, and mass-producible Gamma calibration method for flat panel display products according to claim 1, characterized in that, It is compatible with multiple grayscale levels, and compares the average deviation of x and y values ​​with the target value to meet the needs of differentiation.

8. An electronic device, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, they implement the steps of the novel, precise, efficient, and mass-producible flat panel display product Gamma calibration method according to any one of claims 1 to 7.

9. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the novel, precise, efficient, and mass-producible Gamma calibration method for flat panel display products as described in any one of claims 1 to 7.

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