Brightness correction method of display panel and display device
By adjusting the resolution of the image captured by the camera to match the resolution of the display panel, the brightness of the Mura position on the display panel is obtained and corrected, thus solving the problem of uneven brightness in the prior art and improving the uniformity of the display panel brightness.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUIZHOU CHINA STAR OPTOELECTRONICS TECHNOLOGY CO LTD
- Filing Date
- 2023-11-09
- Publication Date
- 2026-06-26
Smart Images
Figure CN117593984B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of display technology, specifically to a brightness correction method and display device for a display panel. Background Technology
[0002] Mura refers to uneven brightness within a display panel, causing various imperfections. Current technology uses external compensation techniques to mitigate the Mura problem; these techniques are often called Demura compensation.
[0003] The existing Demura process involves capturing a grayscale image of the mura using a camera, then using an algorithm to extract the location of the mura and correct its brightness.
[0004] However, during the Demura process, the resolution of the image captured by the camera is inconsistent with the resolution of the display panel, making it impossible to accurately determine the location of the Demura on the display panel. This results in poor Demura performance and poor uniformity of the in-plane brightness of the display panel. Summary of the Invention
[0005] This application provides a brightness correction method and display device for a display panel. The brightness correction method and display device can accurately obtain the location of the Mura in the display panel and correct the Mura, thereby improving the uniformity of the in-plane brightness of the display panel.
[0006] On one hand, embodiments of this application provide a brightness correction method for a display panel. The method includes: obtaining reference coordinates of a calibration point in the center area of the display area of the display panel; obtaining an initial dot matrix image of the display panel; calculating the initial coordinates of the calibration point in the initial dot matrix image based on the reference coordinates; calculating the target coordinates of the calibration point in the initial dot matrix image based on the reference coordinates and the initial coordinates to obtain a target dot matrix image; obtaining a reference brightness value in the center area of the target dot matrix image and an initial brightness value in at least one non-center area; and adjusting the initial brightness value to the target brightness value based on the reference brightness value to correct the display brightness of the display panel.
[0007] Optionally, in some embodiments of this application, the step of obtaining the reference coordinates of the calibration point in the center area of the display area of the display panel includes: obtaining the resolution of the display area of the display panel; and obtaining the reference coordinates of the calibration point in the center area of the display area based on the resolution of the display area.
[0008] Optionally, in some embodiments of this application, the initial coordinates of the calibration point in the central area of the initial dot matrix image are the same as the reference coordinates of the calibration point in the central area of the display area of the display panel.
[0009] Optionally, in some embodiments of this application, the step of calculating the initial coordinates of the calibration points of the initial dot matrix image based on the reference coordinates includes: obtaining the initial coordinates of the calibration points in the central area of the initial dot matrix image based on the reference coordinates of the calibration points in the central area of the display area; calculating the first coordinates of at least four calibration points in the central area of the initial dot matrix image based on the initial coordinates; calculating the homography matrix based on the at least four first coordinates and the reference coordinates; and obtaining the second coordinates of the calibration points in the non-central area of the initial dot matrix image based on the homography matrix and the reference coordinates.
[0010] Optionally, in some embodiments of this application, the central region is a dot matrix partition centered on the calibration point of the central region in the initial dot matrix image, and the four calibration points are the four vertices of the dot matrix partition.
[0011] Optionally, in some embodiments of this application, the step of calculating the target coordinates of the calibration points in the initial dot matrix image based on the reference coordinates and the initial coordinates to obtain a target dot matrix image includes: dividing the initial dot matrix image into multiple dot matrix partitions, obtaining the third coordinates of the calibration point with the highest brightness in the dot matrix partition; obtaining the target coordinates of at least four vertices of the dot matrix partition based on the third coordinates; calculating affine transformation coefficients based on the target coordinates of the at least four vertices and the reference coordinates; calculating the target coordinates of multiple calibration points in the dot matrix partition other than the vertices based on the affine transformation coefficients; and adjusting the initial coordinates of the calibration points in the initial dot matrix image based on the target coordinates to obtain the target dot matrix image.
[0012] Optionally, in some embodiments of this application, the step of obtaining the reference brightness value of the central area of the target dot matrix image and the initial brightness value of at least one non-central area includes: obtaining the target dot matrix image corresponding to the initial dot matrix image in full grayscale; obtaining the average value of the brightness values of multiple calibration points in the central area of the target dot matrix image in each grayscale to obtain the corresponding reference brightness value and the initial brightness value of the calibration points in the non-central area.
[0013] Optionally, in some embodiments of this application, the step of adjusting the initial brightness value to a target brightness value based on the reference brightness value to correct the display brightness of the display panel includes: obtaining the brightness difference between the reference brightness value and the initial brightness value at each grayscale level; determining whether the brightness difference is less than or equal to a preset threshold; if the brightness difference is greater than the preset value, obtaining a corresponding grayscale compensation value based on the brightness difference; and adjusting the initial brightness value to a target brightness value based on the grayscale compensation value to correct the display brightness of the display panel.
[0014] Optionally, in some embodiments of this application, the reference brightness value is equal to the target brightness value.
[0015] On the other hand, this application also provides a display device, including a display panel and a driving circuit. The display panel performs brightness correction using the brightness correction method described above. The driving circuit is electrically connected to the display panel and is used to drive the display panel.
[0016] The brightness correction method and display device for the display panel provided in this application correct the coordinates of the calibration points in the image captured by the camera so that the resolution of the image captured by the camera matches the resolution of the display panel. This enables the accurate acquisition of the coordinates of the calibration point corresponding to the Mura in the display panel. The initial brightness value at the Mura is adjusted to the target brightness value based on the reference brightness value of the central area of the display panel, thereby improving the uniformity of the in-plane brightness of the display panel. Attached Figure Description
[0017] Figure 1 This is a flowchart of a brightness correction method for a display panel provided in an embodiment of this application;
[0018] Figure 2 yes Figure 1 Flowchart of step S10;
[0019] Figure 3 yes Figure 1 A schematic diagram of the initial dot image capture and alignment in step S20;
[0020] Figure 4 yes Figure 1 Flowchart of step S30;
[0021] Figure 5 yes Figure 1 Flowchart of step S40;
[0022] Figure 6 yes Figure 1 Flowchart of step S50;
[0023] Figure 7 yes Figure 1 The flowchart for step S60. Detailed Implementation
[0024] The technical solutions in the embodiments of this application will now be described with reference to the accompanying drawings. The described technical solutions are for illustrative purposes only and should not be construed as limiting the scope of protection of this application.
[0025] For already manufactured display panels, since their physical properties are fixed, external compensation techniques are needed to mitigate the Mura phenomenon caused by manufacturing defects. This compensation technique is commonly referred to as Demura. Current Demura processes involve capturing the Mura condition in grayscale images with a camera, then using algorithms to extract the location of the Mura and correct its brightness.
[0026] However, during the Demura process, the resolution of the image captured by the camera is inconsistent with the resolution of the display panel, making it impossible to accurately determine the location of the Demura on the display panel. This results in poor Demura performance and poor uniformity of the in-plane brightness of the display panel.
[0027] This application provides a brightness correction method and display device for a display panel. The brightness correction method and display device can accurately obtain the location of the Mura in the display panel and correct the Mura, thereby improving the uniformity of the in-plane brightness of the display panel.
[0028] like Figure 1 As shown, an embodiment of this application provides a brightness correction method for a display panel, the brightness correction method for the display panel including:
[0029] S10. Obtain the reference coordinates of the calibration point in the center area of the display area of the display panel.
[0030] like Figure 2 As shown, step S10 includes the following sub-steps:
[0031] S101. Obtain the resolution of the display area of the display panel.
[0032] In the embodiments of this application, the number of rows and columns of the calibration points (pixels) of the display panel are obtained in advance, that is, the resolution of the display area of the display panel.
[0033] S102. Obtain the reference coordinates of the calibration point in the center area of the display area according to the resolution of the display area.
[0034] In the embodiments of this application, all horizontal calibration points on the display area are obtained, and the horizontal coordinate x of the calibration point in the center area of the display area is obtained based on the sequence value of the calibration point located at the median. All vertical calibration points on the display area are obtained, and the vertical coordinate y of the calibration point in the center area of the display area is obtained based on the sequence value of the calibration point located at the median.
[0035] S20. Acquire the initial dot matrix image of the captured display panel.
[0036] like Figure 3 As shown, the display panel displays a dot matrix alignment image. Adjust the position of the camera (or a microscope camera, video camera, etc.) so that the calibration point M in the center area of the captured initial dot matrix image is within the center area of the corresponding dot matrix image (i.e., within the central circle), and the horizontal center line L1 of the captured initial dot matrix image coincides with the horizontal center line of the dot matrix alignment image. At the same time, the vertical center line L2 of the captured initial dot matrix image coincides with the vertical horizontal center line of the dot matrix alignment image.
[0037] S30. Calculate the initial coordinates of the calibration points of the initial dot matrix image based on the reference coordinates.
[0038] like Figure 4 As shown, step S30 includes the following sub-steps:
[0039] S301. Obtain the initial coordinates of the calibration point in the center area of the initial dot matrix image based on the reference coordinates of the calibration point in the center area of the display area.
[0040] In the embodiments of this application, the initial coordinates of the calibration point in the central area of the initial dot matrix image are the same as the reference coordinates of the calibration point in the central area of the display area of the display panel.
[0041] S302. Calculate the first coordinates of at least four calibration points in the central area of the initial dot matrix image based on the initial coordinates.
[0042] In the embodiments of this application, the central region is a square dot matrix partition centered on the center point in the initial dot matrix image, and the four calibration points are the four vertices of the dot matrix partition.
[0043] In the embodiments of this application, the coordinates of the calibration points in the center area of the 2*2 dot matrix region of the image center are selected based on the location. Based on the characteristics of camera lens distortion, it is determined that the dot matrix region has not been distorted. Therefore, the coordinates of the four calibration points in the center area are equal to the coordinates of the corresponding calibration points in the display area.
[0044] In the embodiments of this application, the coordinates of the calibration points in the central area of the display area and the initial dot matrix image are both (x, y). Therefore, the spacing between adjacent calibration points (pixels) along the length direction of the display panel in the central area (small circle) is: MR*DotSpace. The spacing between adjacent calibration points (pixels) along the width direction of the display panel in the central area (small circle) is: MR*DotSpace / 2.
[0045] The pixel spacing is related to the resolution of the display panel, and the preset pixel spacing is obtained based on the resolution of the display panel.
[0046] MR refers to the ratio of the sum of the distances between multiple calibration points along the length of the display area of the display panel to the total number of calibration points arranged along the length of the display panel (the actual resolution along the length of the display panel). DotSpace refers to the spacing between two adjacent calibration points preset according to the resolution of the display panel.
[0047] Specifically, within the central area (small circle), the first coordinates of the calibration points (pixels) located on the opposite side of the vertical centerline and on the upper and lower sides of the horizontal centerline along the width direction of the display panel are (x+MR*DotSpace, y-MR*DotSpace / 2), (x+MR*DotSpace, y+MR*DotSpace / 2). Within the central area (small circle), the first coordinates of the calibration points (pixels) located on the upper and lower sides of the vertical centerline along the width direction of the display panel are (x, y-MR*DotSpace / 2), (x, y+MR*DotSpace / 2).
[0048] S303. Calculate the homography matrix based on at least four first coordinates and the reference coordinates.
[0049] In the embodiments of this application, the homography matrix H is calculated based on the first coordinates of the four calibration points in the central area of the initial dot matrix image and the reference coordinates of the corresponding four calibration points in the display area of the display panel. The formula for calculating the homography matrix H is as follows:
[0050]
[0051] Where, x' i This refers to the horizontal coordinate, y', of the first coordinate of the calibration point in the initial bitmap image captured by the camera. i This refers to the vertical coordinate (x) of the first coordinate of the calibration point in the initial bitmap image captured by the camera. i This refers to the horizontal coordinate (y) of the reference coordinates of the calibration point in the display area of the display panel, corresponding to the calibration point in the initial dot matrix image. iThis refers to the vertical coordinate (h) of the reference coordinates of the calibration point in the display area of the display panel, corresponding to the calibration point in the initial dot matrix image. 00 h 01 h 02 h 10 h 11 h 12 h 20 h 21 h 22 This refers to the mapping coefficient, which is the mapping relationship between the first coordinate of the calibration point in the initial dot matrix image and the reference coordinate of the calibration point in the display area of the display panel.
[0052] S304. Obtain the second coordinates of the calibration points in the non-central area of the initial dot matrix image based on the homography matrix and the reference coordinates.
[0053] In the embodiments of this application, the second coordinates of each calibration point in the initial dot matrix image can be obtained by using the homography matrix obtained according to the above formula and the reference coordinates of the calibration points in the center area of the display area of the display panel, thus obtaining the mapping relationship between the reference coordinates of the calibration points in the center area of the display area of the display panel and the second coordinates of the calibration points in the initial dot matrix image.
[0054] In embodiments of this application, the initial coordinates of the calibration points of the initial dot matrix image include the first coordinates of at least four calibration points in the central region of the initial dot matrix image and the second coordinates of calibration points in the non-central region of the initial dot matrix image.
[0055] S40. Calculate the target coordinates of the calibration points in the initial dot matrix image based on the reference coordinates and the initial coordinates to obtain the target dot matrix image.
[0056] like Figure 5 As shown, step S40 includes the following sub-steps:
[0057] S401. Divide the initial dot matrix image into multiple dot matrix partitions and obtain the third coordinate of the calibration point with the highest brightness in the dot matrix partition.
[0058] In the embodiments of this application, the dot matrix partition is a region with a radius of MR*DotSpace*0.5, centered on the first / second coordinates of multiple calibration points in the initial dot matrix image. The centroid coordinates, i.e., the third coordinates, of the region with a radius of MR*DotSpace*0.5 are calculated, centered on the first / second coordinates of the multiple calibration points in the initial dot matrix image. In this application, the centroid coordinates refer to the calibration point with the highest brightness in the dot matrix partition.
[0059] S402. Obtain the target coordinates of at least four vertices of the dot matrix partition based on the third coordinate.
[0060] Based on the existing relationship between centroid coordinates and vertex coordinates, the coordinates of each vertex can be obtained by acquiring the centroid coordinates. In the embodiments of this application, the target coordinates of at least four vertices in the lattice partition are obtained based on the third coordinate.
[0061] In the embodiments of this application, parallel computing CUDA (Compute Unified Device Architecture) can be used for acceleration, that is, CUDA can be used to calculate the target coordinates of vertices in multiple lattice partitions at the same time, thereby improving the running efficiency.
[0062] S403. Calculate the affine transformation coefficients based on the target coordinates and reference coordinates of at least four vertices.
[0063] In the embodiments of this application, the target coordinates (x') of the vertex obtained in the above steps are used. n y' n ), and the reference coordinates (x, y) of the calibration point in the center area of the display area of the display panel corresponding to the vertex. n y n Calculate the affine transformation coefficients. The formula for calculating the affine transformation coefficients is:
[0064]
[0065] Where, x' n This refers to the lateral coordinate (y') of a vertex in the target coordinates of the initial bitmap image captured by the camera. n This refers to the vertical coordinate (x) of the vertex in the target coordinates of the initial bitmap image captured by the camera. n This refers to the horizontal coordinate (y) of the reference coordinates of the calibration point corresponding to the vertex in the display area of the display panel. n This refers to the vertical coordinate (m) of the reference coordinates of the calibration point corresponding to the vertex in the display area of the display panel. 00 m 01 m 02 m 10 m 11 m 12 m 20 m 21 m 22 This refers to the affine transformation coefficients.
[0066] S404. Calculate the target coordinates of multiple calibration points (excluding vertices) in the lattice partition based on the affine transformation coefficients.
[0067] In the embodiments of this application, the target coordinates of each calibration point in the lattice partition, excluding vertices, are calculated based on the affine transformation coefficients. Similarly, CUDA can be used to calculate the target coordinates of each calibration point in multiple lattice partitions, excluding vertices, thereby improving the running efficiency.
[0068] S405. Adjust the initial coordinates of the calibration points in the initial dot matrix image according to the target coordinates to obtain the target dot matrix image.
[0069] In the embodiments of this application, the target coordinates of each calibration point in the initial dot matrix image are obtained according to the above steps, and then the initial coordinates of each calibration point are adjusted to the corresponding target coordinates, thereby obtaining a target dot matrix image that matches the resolution of the display panel.
[0070] Specifically, the coordinates of the calibration points in the target dot matrix image are equal to the coordinates of the calibration points (pixels) in the display area of the display panel, which helps to accurately obtain the coordinates of the corresponding calibration points in the display panel during the demura process, thereby improving the effectiveness of demura.
[0071] S50: Obtain the reference brightness value of the central area and the initial brightness value of the non-central area of the target dot matrix image.
[0072] like Figure 6 As shown, step S50 includes the following sub-steps:
[0073] S501. Obtain the target dot matrix image corresponding to the initial dot matrix image in full grayscale.
[0074] In embodiments of this application, brightness data of the display panel at a given grayscale value (0 to 255 grayscale) is acquired. Specifically, when all pixels of the display panel are given signals corresponding to the same grayscale value through, for example, a driving chip, the display image is captured by an imaging device to obtain the brightness value presented by all pixels under the given same grayscale value, that is, the brightness data of each pixel. The imaging device may be, for example, a high-precision, high-resolution charge-coupled device (CCD) or a photosensitive device such as a luminance meter.
[0075] Since the mutagenesis displayed on the display panel may differ at different gray levels, the mutagenesis of the displayed image is generally detected at high, medium, and low gray levels. For example, signals at gray levels of 32, 64, 96, 160, 192, and 224 are provided for the imaging device to capture. Specifically, to improve detection accuracy, the mutagenesis of the displayed image is detected sequentially at gray levels from 0 to 255 (i.e., at all gray levels).
[0076] In the embodiments of this application, before acquiring brightness data, the imaging device can be processed by flat-field correction (FFC), black level correction, linearity correction, etc., to eliminate the factors of uneven brightness formed by the imaging device itself.
[0077] S502. Obtain the average value of the brightness of multiple calibration points in the central area of the target dot matrix image at each gray level, so as to obtain the corresponding reference brightness value and the initial brightness value of the calibration points in the non-central area.
[0078] In the embodiments of this application, the reference brightness value is equal to the average of the brightness values of multiple calibration points in the central area. The initial brightness value is equal to the average of the brightness values of multiple calibration points in the non-central area.
[0079] In the embodiments of this application, the brightness data of each calibration point in the target dot matrix image is extracted to obtain Demura data for each calibration point. Specifically, the gamma index value of each calibration point is first calculated, and then the region and data of the Mura are identified based on the gamma index value. Specifically, Fourier transform can be used to detect and identify the edges of the Mura, or the brightness difference between each calibration point and its surrounding calibration points can be compared, and the Mura can be identified by calculating the brightness gradient or color difference. Then, Demura data is generated based on the Mura data and the corresponding Demura compensation algorithm. For example, the reference brightness value of the central area of the target dot matrix image at each gray level and the initial brightness value of the non-central area are obtained respectively, and the Mura is identified by comparing the reference brightness value and the initial brightness value.
[0080] S60. Adjust the initial brightness value to the target brightness value based on the reference brightness value to correct the display brightness of the display panel.
[0081] like Figure 7 As shown, step S60 includes the following sub-steps:
[0082] S601. Obtain the brightness difference between the reference brightness value and the initial brightness value for each grayscale level.
[0083] In the embodiments of this application, the brightness value of the calibration point in the central area of the target dot matrix image at each gray level is obtained as the reference brightness value. The initial brightness value of the non-central area in the target dot matrix image at each gray level is also obtained.
[0084] S602. Determine whether the brightness difference is less than or equal to a preset threshold.
[0085] In the embodiments of this application, the preset threshold is between 0 and 0.5. That is, it determines whether the brightness difference between the reference brightness value and the initial brightness value is between 0 and 0.5.
[0086] S603. If the brightness difference is greater than or equal to the preset value, the corresponding grayscale compensation value is obtained based on the brightness difference.
[0087] In the embodiments of this application, if the brightness difference between the reference brightness value and the initial brightness value is greater than 0.5, then a grayscale compensation value is obtained based on the specific brightness difference. Specifically, a positive grayscale compensation value is provided to the calibration points (pixels) in the darker areas to increase brightness, and a negative grayscale compensation value is provided to the calibration points (pixels) in the brighter areas to reduce brightness.
[0088] In embodiments of this application, a smoothing algorithm can also be used to eliminate Mura edges, making the edges of Mura smoother, thereby improving the display effect of the display screen.
[0089] S604. Adjust the initial brightness value to the target brightness value based on the grayscale compensation value to correct the display brightness of the display panel.
[0090] In the embodiments of this application, the difference between the target brightness value and the reference brightness value can be less than or equal to 0.5. Preferably, the reference brightness value and the target brightness value are equal. That is, the brightness difference between the reference brightness value and the initial brightness value is equal to 0, so as to maximize the uniformity of the brightness of the display panel.
[0091] In the brightness correction method for the display panel provided in this application, the coordinates of the calibration points in the image captured by the camera are corrected so that the resolution of the image captured by the camera matches the resolution of the display panel. This allows for the accurate acquisition of the coordinates of the calibration points corresponding to the Mura in the display panel. The initial brightness value at the Mura is then adjusted to the target brightness value based on the reference brightness value of the central area of the display panel, thereby improving the uniformity of the in-plane brightness of the display panel.
[0092] On the other hand, this application also provides a display device, including a display panel and a driving circuit. The display panel performs brightness correction using the brightness correction method described above, and the driving circuit is electrically connected to the display panel and is used to drive the display panel.
[0093] In embodiments of this application, the driving circuit includes an image correction module. The image correction module corrects the initial dot matrix image according to the brightness correction method of the display panel described above to obtain a target dot matrix image. Specifically, the image correction module includes an acquisition module, a calculation module, and a correction module.
[0094] The acquisition module is used to acquire the reference coordinates of the calibration point in the center area of the display area of the display panel and to acquire the initial dot matrix image of the display panel captured by the camera.
[0095] The calculation module is used to calculate the initial coordinates of the calibration points in the initial dot matrix image based on the reference coordinates, and to calculate the target coordinates of the calibration points in the initial dot matrix image based on the reference coordinates and the initial coordinates.
[0096] The correction module is used to adjust the coordinates of the calibration points in the initial dot matrix image according to the target coordinates in order to obtain the target dot matrix image.
[0097] In embodiments of this application, the driving circuit further includes a brightness correction module, which is used to acquire a reference brightness value for the central area of the target dot matrix image and an initial brightness value for at least a portion of the non-central area. The module also adjusts the initial brightness value to the target brightness value based on the reference brightness value to correct the display brightness of the display panel.
[0098] The brightness correction method and display device for the display panel provided in this application correct the coordinates of the calibration points in the image captured by the camera so that the resolution of the image captured by the camera matches the resolution of the display panel. This enables the accurate acquisition of the coordinates of the calibration point corresponding to the Mura in the display panel. The initial brightness value at the Mura is adjusted to the target brightness value based on the reference brightness value of the central area of the display panel, thereby improving the uniformity of the in-plane brightness of the display panel.
[0099] The above provides a detailed description of a brightness correction method and display device for a display panel provided by the embodiments of this application. The description of the above embodiments is only for the purpose of helping to understand the core idea of this application, and the above description should not be construed as a limitation on the scope of protection of this application.
Claims
1. A brightness calibration method for a display panel, characterized in that, include: Obtain the reference coordinates of the calibration point in the center area of the display area of the display panel; Acquire the initial dot matrix image of the display panel captured by the camera; Calculating the initial coordinates of the calibration points of the initial dot matrix image based on the reference coordinates includes: obtaining the initial coordinates of the calibration points in the center area of the initial dot matrix image based on the reference coordinates of the calibration points in the center area of the display area; calculating the first coordinates of at least four calibration points in the center area of the initial dot matrix image based on the initial coordinates; calculating the homography matrix based on the at least four first coordinates and the reference coordinates; and obtaining the second coordinates of the calibration points in the non-center area of the initial dot matrix image based on the homography matrix and the reference coordinates. Calculating the target coordinates of the calibration points in the initial dot matrix image based on the reference coordinates and the initial coordinates to obtain a target dot matrix image includes: dividing the initial dot matrix image into multiple dot matrix partitions; obtaining the third coordinate of the calibration point with the highest brightness in the dot matrix partition; obtaining the target coordinates of at least four vertices of the dot matrix partition based on the third coordinate; calculating affine transformation coefficients based on the target coordinates of the at least four vertices and the reference coordinates; calculating the target coordinates of multiple calibration points in the dot matrix partition other than the vertices based on the affine transformation coefficients; and adjusting the initial coordinates of the calibration points in the initial dot matrix image based on the target coordinates to obtain the target dot matrix image. Obtain the reference brightness value of the central region of the target dot matrix image and the initial brightness value of at least one non-central region; The initial brightness value is adjusted to the target brightness value based on the reference brightness value in order to correct the display brightness of the display panel.
2. The brightness correction method for a display panel according to claim 1, characterized in that, The step of obtaining the reference coordinates of the calibration point in the center area of the display area of the display panel includes: Obtain the resolution of the display area of the display panel; The reference coordinates of the calibration point in the center area of the display area are obtained according to the resolution of the display area.
3. The brightness correction method for a display panel according to claim 2, characterized in that, The initial coordinates of the calibration point in the central area of the initial dot matrix image are the same as the reference coordinates of the calibration point in the central area of the display area of the display panel.
4. The brightness correction method for a display panel according to claim 1, characterized in that, The central region is a dot matrix partition centered on the center point in the initial dot matrix image, and the four calibration points are the four vertices of the dot matrix partition.
5. The brightness correction method for a display panel according to claim 1, characterized in that, The step of obtaining the reference brightness value of the central region of the target dot matrix image and the initial brightness value of at least one non-central region includes: Obtain the target dot matrix image corresponding to the initial dot matrix image in full grayscale; The average value of the brightness values of multiple calibration points in the central area of the target dot matrix image at each gray level is obtained to obtain the corresponding reference brightness value, and the initial brightness value of the calibration points in the non-central area.
6. The brightness correction method for a display panel according to claim 5, characterized in that, The step of adjusting the initial brightness value to the target brightness value based on the reference brightness value to correct the display brightness of the display panel includes: The brightness difference between the reference brightness value and the initial brightness value at each gray level is obtained respectively; Determine whether the brightness difference is less than or equal to a preset threshold; If the brightness difference is greater than the preset threshold, then the corresponding grayscale compensation value is obtained based on the brightness difference; The initial brightness value is adjusted to the target brightness value based on the grayscale compensation value to correct the display brightness of the display panel.
7. The brightness correction method for a display panel according to claim 1, characterized in that, The reference brightness value is equal to the target brightness value.
8. A display device, characterized in that, The device includes a display panel and a driving circuit. The display panel is brightness calibrated using the brightness calibration method described in any one of claims 1-7. The driving circuit is electrically connected to the display panel and is used to drive the display panel.