Picture compensation method and apparatus

Abstract

The application discloses a picture compensation method and device. The picture compensation method according to the embodiment of the application comprises the following steps: a display panel displays a test image; image data of the test image is obtained by shooting; and the image data is preprocessed to obtain processed image information. The preprocessing of the image data to obtain the processed image information comprises the following steps: image data of a current frame is obtained; image data of a neighboring frame adjacent to the current frame is obtained; predicted image data of the current frame is obtained according to the image data of the neighboring frame; and processed image information of the current frame is obtained according to the predicted image data. The picture compensation method and device according to the embodiment of the application reduce the damage to the real mura information, maximize the retention of the real information, and thus ensure the picture compensation effect of the display panel.

Description

Technical Field

[0001] This invention relates to the field of display technology, and in particular to a screen compensation method and apparatus. Background Technology

[0002] Due to the complexity of display panel manufacturing processes, the occurrence of Mura defects is unavoidable. Mura can be defined as a discrepancy between the displayed white (or other colors) and the actual white image, which is clearly visible to the human eye. Mura includes two types: color discrepancies and brightness discrepancies. Color discrepancies further include color mixing and abnormal color proportions. The presence of Mura defects directly impacts the quality and production yield of display panels.

[0003] Repairing mura defects is an indispensable part of the display panel manufacturing process. In existing technologies, the demura method is commonly used to address mura defects. During the demura process of a display panel, after capturing image data (e.g., raw data) by photographing the screen, the image data needs to undergo certain preprocessing to reduce the impact of image noise caused by various factors on the subsequent demura compensation effect. Common image noise includes camera sensor thermal noise, fine dust, etc.

[0004] Traditional preprocessing methods typically involve spatial filtering of specific grayscale raw data from an image, such as Gaussian filtering or median filtering. However, traditional spatial filtering methods cannot distinguish between true mura information and noise information at the data level. While removing noise signals, true mura information is inevitably lost, resulting in varying degrees of degradation in the final demura compensation effect.

[0005] Therefore, it is hoped that a new image compensation method and device can overcome the above problems. Summary of the Invention

[0006] In view of the above problems, the purpose of the present invention is to provide a screen compensation method and apparatus, thereby reducing the damage to real mura information, preserving real information to the greatest extent possible, and thus ensuring the screen compensation effect of the display panel.

[0007] According to one aspect of the present invention, a screen compensation method is provided, comprising: displaying a test image on a display panel; capturing image data of the test image; and preprocessing the image data to obtain processed image information, wherein preprocessing the image data to obtain processed image information includes: acquiring image data of a current frame; acquiring image data of adjacent frames adjacent to the current frame; obtaining predicted image data of the current frame based on the image data of the adjacent frames; and obtaining processed image information of the current frame based on the predicted image data of the current frame.

[0008] Optionally, the image compensation method further includes: performing calculations on the processed image information to obtain compensation data for the display panel, wherein the compensation data is used for image compensation of the display panel.

[0009] Optionally, the processed image information of the current frame can be obtained based on the image data of the current frame and the predicted image data of the current frame.

[0010] Optionally, the display panel displays multiple test images with different gray levels; image data corresponding to the multiple test images are captured and acquired respectively; wherein, the adjacent frames are at least one frame.

[0011] Optionally, the display panel displays the multiple frames of images sequentially according to grayscale size; the adjacent frames include the previous frame and the next frame of the current frame.

[0012] Optionally, a prediction scaling factor is obtained based on the grayscale brightness value of the current frame and the grayscale brightness value of the adjacent frames; the predicted image data of the current frame is obtained based on the image data of the adjacent frames and the prediction scaling factor.

[0013] Optionally, the adjacent frames include a first adjacent frame and a second adjacent frame, wherein the gray level of the first adjacent frame is lower than the gray level of the current frame, and the gray level of the second adjacent frame is higher than the gray level of the current frame; the prediction ratio coefficient is obtained based on the ratio of the difference between the gray level brightness value of the current frame and the gray level brightness value of the first adjacent frame and the difference between the gray level brightness value of the second adjacent frame and the gray level brightness value of the first adjacent frame.

[0014] Optionally, the predicted image data of the current frame at any position on the display panel is obtained based on the image data of the adjacent frames at that position and the prediction scaling factor.

[0015] Optionally, the average of the image data of the current frame and the predicted image data of the current frame is used as the processed image information of the current frame.

[0016] According to another aspect of the present invention, a screen compensation device is provided, comprising: an image acquisition unit for capturing image data of a test image displayed on a display panel; and a data preprocessing unit connected to the image acquisition unit for acquiring the image data and preprocessing the image data to obtain processed image information, wherein the data preprocessing unit comprises: an acquisition module for acquiring image data of a current frame and image data of adjacent frames adjacent to the current frame; and a processing module for obtaining predicted image data of the current frame based on the image data of the adjacent frames, and obtaining processed image information of the current frame based on the predicted image data of the current frame.

[0017] According to the image compensation method and apparatus of the present invention, during the data preprocessing process, the current frame is processed in conjunction with the adjacent frames of the current frame to eliminate interference such as noise, thereby reducing the destruction of real mura information and preserving real information to the greatest extent possible, thus ensuring the image compensation effect of the display panel.

[0018] Furthermore, inter-frame filtering was performed using rawdata frames corresponding to multiple gray levels, which solved the problem of mura information loss caused by spatial filtering.

[0019] Furthermore, during the data preprocessing process, a prediction scaling factor for noise elimination is obtained based on the grayscale brightness values ​​of adjacent frames and the current frame, thus solving the noise filtering problem for multiple frames with different brightness values. Attached Figure Description

[0020] The above and other objects, features and advantages of the present invention will become more apparent from the following description of embodiments of the invention with reference to the accompanying drawings, in which:

[0021] Figure 1 A flowchart of a screen compensation method according to an embodiment of the present invention is shown.

[0022] Figure 2 A flowchart of a preprocessing method according to an embodiment of the present invention is shown.

[0023] Figure 3 A schematic diagram of the image compensation device according to an embodiment of the present invention is shown. Detailed Implementation

[0024] Various embodiments of the invention will now be described in more detail with reference to the accompanying drawings. In the various drawings, the same elements are indicated by the same or similar reference numerals. For clarity, the various parts in the drawings are not drawn to scale. Furthermore, certain well-known parts may not be shown in the drawings.

[0025] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. Many specific details of the invention, such as the structure, materials, dimensions, processing techniques, and methods of the components, are described below to provide a clearer understanding of the invention. However, as those skilled in the art will understand, the invention may be implemented without following these specific details.

[0026] It should be understood that when describing the structure of a component, when referring to a layer or region as being "above" or "on top of" another layer or region, it can mean that it is directly above the other layer or region, or that it contains other layers or regions between it and the other layer or region. Furthermore, if the component is flipped over, that layer or region will be located "below" or "under" the other layer or region.

[0027] Figure 1 A flowchart of a screen compensation method according to an embodiment of the present invention is shown. Figure 1 As shown, the image compensation method according to an embodiment of the present invention includes the following steps:

[0028] In step S101, the display panel displays the test image;

[0029] The display panel shows the test image, which can be set according to actual needs.

[0030] In step S102, image data of the test image is captured;

[0031] The process involves capturing test image data, such as the grayscale value and coordinate position of each pixel. Specifically, this requires photographing the display panel to be tested. This involves displaying a specific test image on the panel and then capturing the image using a camera or similar device, thus obtaining the captured test image and corresponding image data. Optionally, a high-precision, high-resolution CCD camera can be used to capture the test image. The choice of camera resolution depends on the resolution and size of the display panel being tested, the shooting distance, and the accuracy of Demura compensation.

[0032] In step S103, the image data is preprocessed to obtain processed image information.

[0033] Image data is preprocessed to obtain processed image information. Preprocessing removes noise while minimizing the loss of true mutagenesis, resulting in processed image information that retains as much of the original information as possible.

[0034] After step S103, the image compensation method according to an embodiment of the present invention may further include: performing calculations on the processed image information to obtain compensation data for the display panel. The compensation data is used for image compensation of the display panel.

[0035] Figure 2 A flowchart of a preprocessing method according to an embodiment of the present invention is shown. Figure 2 As shown, preprocessing image data to obtain processed image information includes the following steps:

[0036] In step S1031, the image data of the current frame is acquired;

[0037] The display panel shows multiple test images. The test image to be processed is taken as the current frame, and the image data of the current frame is captured.

[0038] In step S1032, image data of adjacent frames adjacent to the current frame are acquired;

[0039] While the display panel shows adjacent frames, image data of the adjacent frames next to the current frame is captured. An adjacent frame refers to a frame in the multi-frame test image displayed on the panel that is adjacent to the current frame. The adjacent frame here is not limited to the frame immediately next to the current frame; there can be other frames between the adjacent frame and the current frame. There is also no limit to the number of adjacent frames; it can be one or more frames.

[0040] In step S1033, the predicted image data of the current frame is obtained based on the image data of the adjacent frames;

[0041] The predicted image data for the current frame is obtained by calculating the image data of adjacent frames.

[0042] In step S1034, the processed image information of the current frame is obtained based on the predicted image data of the current frame.

[0043] The processed image information of the current frame is obtained by calculating the predicted image data of the current frame. Optionally, the processed image information of the current frame is obtained by combining the image data of the current frame and the predicted image data of the current frame.

[0044] In an optional embodiment of the present invention, the display panel displays multiple test images with different gray levels. Image data corresponding to the multiple test images are captured separately. At least one adjacent frame is involved in the preprocessing. Optionally, the display panel displays multiple images sequentially according to gray level, and the adjacent frames involved in the preprocessing include the previous and next frames of the current frame.

[0045] In an optional embodiment of the present invention, a prediction scaling factor is obtained based on the grayscale brightness value of the current frame and the grayscale brightness values ​​of adjacent frames. Then, the predicted image data of the current frame is obtained based on the image data of adjacent frames and the prediction scaling factor. Optionally, the adjacent frames include a first adjacent frame and a second adjacent frame, wherein the grayscale of the first adjacent frame is lower than that of the current frame, and the grayscale of the second adjacent frame is higher than that of the current frame. The prediction scaling factor is obtained based on the ratio of the difference between the grayscale brightness value of the current frame and the grayscale brightness value of the first adjacent frame, and the ratio of the difference between the grayscale brightness value of the second adjacent frame and the grayscale brightness value of the first adjacent frame.

[0046] In an optional embodiment of the present invention, the predicted image data of the current frame at any position on the display panel is obtained based on the image data of the adjacent frames at that position and the prediction scaling factor. Optionally, the average of the image data of the current frame and the predicted image data of the current frame is used as the processed image information of the current frame.

[0047] In one specific embodiment of the present invention, image data of the test image is captured, and the image data is in rawdata format. The display panel (e.g., OLED) displays test images with different gray levels, and rawdata frame data at multiple gray level inputs is captured, such as rawdata frame data at inputs of 16 gray levels, 32 gray levels, 64 gray levels, 128 gray levels, 192 gray levels, etc.

[0048] First, select the adjacent raw data frames (neighboring frames) of the currently processed grayscale raw data frame (current frame). For example, if the currently processed raw data frame is 64 grayscale, you can select raw data frames with 32 grayscale and 128 grayscale as adjacent raw data frames. Let `gray_cu` represent the currently processed grayscale, `gray_dn` represent the adjacent lower grayscale, and `gray_up` represent the adjacent higher grayscale. Similarly, `lumi_cu` represents the currently processed grayscale brightness value, `lumi_dn` represents the adjacent lower grayscale brightness value, and `lumi_up` represents the adjacent higher grayscale brightness value.

[0049] lumi_cu = (gray_cu / 256) 2 . 2

[0050] lumi_dn = (gray_dn / 256) 2 . 2

[0051] lumi_up = (gray_up / 256) 2 . 2

[0052] Then, based on the brightness value, the ratio (prediction ratio) for subsequent raw data prediction is calculated.

[0053] ratio=(lumi_cu-lumi_dn) / (lumi_up-lumi_dn)

[0054] Next, based on the previously calculated ratio and adjacent rawdata frames, the predicted current data frame is calculated. `raw_dn` represents the data at any image coordinate position in adjacent low-grayscale rawdata frames, `raw_up` represents the data at any image coordinate position in adjacent high-grayscale rawdata frames, and `raw_pred` represents the data predicted based on adjacent rawdata frames.

[0055] raw_pred=raw_dn+(raw_up-raw_dn)*ratio

[0056] Finally, based on the predicted data and the current rawdata data, filtering is performed to obtain the final preprocessed rawdata data frame. `raw_cu` represents the data at any image coordinate position in the current grayscale rawdata data frame, and `raw_proc` represents the filtered data, which serves as the final preprocessed output.

[0057] raw_proc=(raw_cu+raw_pred) / 2

[0058] Optionally, the above preprocessing method can be applied to raw data frames of various color channels, including raw data frames of gray, R (red), G (green), and B (blue) channels. The number of frames is not limited to the three grayscale raw data frames in the above embodiment. The grayscale of the selected adjacent frames can be all greater than the grayscale of the current frame, all less than the grayscale of the current frame, or partially greater than the grayscale of the current frame and partially less. Of course, the formulas mentioned in the above embodiments are not fixed and can be adjusted according to actual conditions.

[0059] In the above embodiments of the present invention, the method of inter-frame filtering using multiple rawdata frames solves the problem of mura information loss caused by spatial filtering.

[0060] Figure 3 A schematic diagram of a screen compensation device according to an embodiment of the present invention is shown. The screen compensation device 100 according to an embodiment of the present invention is used to implement the above-described screen compensation method, such as... Figure 3As shown, the image compensation device includes an image acquisition unit 110 and a data preprocessing unit 120.

[0061] Specifically, the image acquisition unit 110 is used to capture image data of the test image displayed on the display panel.

[0062] The data preprocessing unit 120 is connected to the image acquisition unit 110 to acquire the image data and preprocess the image data to obtain processed image information. The data preprocessing unit 120 includes an acquisition module 121 and a processing module 122. The acquisition module 121 is used to acquire the image data of the current frame and the image data of adjacent frames. The processing module 122 is used to obtain the predicted image data of the current frame based on the image data of the adjacent frames, and to obtain the processed image information of the current frame based on the predicted image data of the current frame.

[0063] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0064] As described above, these embodiments of the present invention do not exhaustively cover all details, nor do they limit the invention to the specific embodiments described. Clearly, many modifications and variations can be made based on the above description. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to effectively utilize the invention and its modifications. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A picture compensation method, comprising: displaying, by a display panel, a plurality of test images with different gray scales; acquiring image data corresponding to the plurality of test images respectively; preprocessing the image data to remove noise to obtain processed image information, wherein the preprocessing the image data to obtain the processed image information comprises: acquiring image data of a current frame; acquiring image data of a neighboring frame adjacent to the current frame; obtaining predicted image data of the current frame according to the image data of the neighboring frame; and obtaining the processed image information of the current frame according to the predicted image data of the current frame. The picture compensation method further comprises:

2. The picture compensation method of claim 1, wherein, operating the processed image information to obtain compensation data of the display panel, wherein the compensation data is used for picture compensation of the display panel. The processed image information of the current frame is obtained according to the image data of the current frame and the predicted image data of the current frame.

3. The picture compensation method of claim 1, wherein, The neighboring frame is at least one frame.

4. The picture compensation method of claim 1, wherein, The display panel displays the plurality of test images in order of gray scale size; the neighboring frame includes a previous frame and a next frame of the current frame.

5. The picture compensation method of claim 4, wherein, A prediction proportion coefficient is obtained according to a gray scale brightness value of the current frame and a gray scale brightness value of the neighboring frame; 6. The picture compensation method of claim 4, wherein, The predicted image data of the current frame is obtained according to the image data of the neighboring frame and the prediction proportion coefficient. The neighboring frame includes a first neighboring frame and a second neighboring frame, the gray scale of the first neighboring frame is lower than that of the current frame, and the gray scale of the second neighboring frame is higher than that of the current frame; 7. The picture compensation method of claim 6, wherein, The prediction proportion coefficient is obtained according to a proportion of a difference between the gray scale brightness value of the current frame and the gray scale brightness value of the first neighboring frame and a difference between the gray scale brightness value of the second neighboring frame and the gray scale brightness value of the first neighboring frame. The predicted image data of the current frame at any position on the display panel is obtained according to the image data of the neighboring frame at the position and the prediction proportion coefficient.

8. The picture compensation method of claim 6, wherein, An average value of the image data of the current frame and the predicted image data of the current frame is taken as the processed image information of the current frame.

9. The picture compensation method of claim 8, wherein, 10.A picture compensation device adopting the picture compensation method according to any one of claims 1-9, comprising: an image acquisition unit configured to acquire image data of test images displayed by a display panel; and a data preprocessing unit connected to the image acquisition unit to acquire the image data and preprocess the image data to obtain processed image information, wherein the data preprocessing unit comprises: an acquisition module configured to acquire image data of a current frame and image data of a neighboring frame adjacent to the current frame; and a processing module configured to obtain predicted image data of the current frame according to the image data of the neighboring frame and obtain the processed image information of the current frame according to the predicted image data of the current frame. ​

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