CN117809574B - Demura method based on clustering and display device - Google Patents
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Abstract
The invention provides a Demura method and a display device based on clustering processing, comprising the following steps: s10: taking a pixel unit of the display panel as an initial pixel unit, radiating outwards from the initial pixel unit, and sequentially calculating the Mura compensation value difference value of the peripheral pixel unit and the initial pixel unit from the near to the far; s20: dividing pixel units with the difference value of the Mura compensation value smaller than or equal to a preset Mura compensation value threshold value with the initial pixel unit into the same category region, distributing the ID of the category region, obtaining the position information of peripheral boundary pixel units of the category region, the Mura compensation value of the category region and the preset Mura compensation value threshold value, recording the Mura compensation value without precision loss by the algorithm, and saving the space for storing the Mura compensation value while maintaining the complete image information.
Description
Technical Field
The application relates to the field of image processing, in particular to a Demura method based on clustering processing and a display device.
Background
Display non-uniformity, i.e. Mura, is a potential side effect of today's display panel manufacturing processes. Display panels are typically composed of a plurality of materials and a substrate layer bonded together. It is almost impossible to bond all of these layers together with absolute accuracy each time; various seams, migration, contaminants, bubbles, or other imperfections may silently dive; furthermore, different constitutions of the same component can also cause Mura phenomenon; for example, an OLED display panel has many advantages such as high contrast ratio, ultra-thin, and flexibility, but brightness uniformity is two major problems that it needs to face at present, for example, the TFT (Thin Film Transistor ) at different positions has non-uniformity in electrical parameters such as threshold voltage, mobility, etc., and this non-uniformity may be converted into current difference and brightness difference of the OLED display device, which is known as Mura phenomenon. In order to improve the Mura phenomenon, it is generally necessary to compensate for the pixel driving process of the display panel. The Demura method is widely used for eliminating the Mura phenomenon of the display panel by calculating a Mura compensation value, for example, in the Demura method commonly used, an effective display area of the display panel is divided into a plurality of modules, for example, modules with pixel sizes of 2×2, 4*4, 8×8 or 16×16, the Mura compensation value of each module is calculated and stored in an external flash memory, and in the display stage, the Mura compensation value of each module is read from the flash memory to perform pixel compensation. In this regard, since the number of modules is large, the calculation amount of the compensation data of all modules is large, so that the requirement on the storage space such as the flash memory is large, and the real-time performance of pixel compensation is not improved. For example, patent CN 113963663A is to divide the display panel based on the concept of macro blocks and use the average value of the chromaticity of pixels in a region as the chromaticity value of all pixels in the region. This approach, while spatially saving space, loses the accuracy of the pixel Mura compensation values, thereby reducing the effect of the compensation to some extent. Other existing algorithms also have attempts to cluster on Demura storage, such as patent CN 109672451A, but because the Mura compensation values are degraded based on PCA principal component analysis, there is still the problem of losing accuracy and reducing the compensation effect.
Disclosure of Invention
In order to solve the technical problems, the invention provides a Demura method based on clustering processing, which comprises the following steps: s10: taking a pixel unit of the display panel as an initial pixel unit, radiating outwards from the initial pixel unit, and sequentially calculating the Mura compensation value difference value of the peripheral pixel unit and the initial pixel unit from the near to the far; s20: dividing pixel units with the difference value of the Mura compensation value from the initial pixel unit being smaller than or equal to a preset Mura compensation value threshold into the same category area, distributing the ID of the category area, and obtaining the position information of peripheral boundary pixel units of the category area, the Mura compensation value of the category area and the preset Mura compensation value threshold; s30: selecting a pixel unit from the pixel units of the non-divided category areas of the display panel as a starting pixel unit, and continuing the operations in the steps S10 to S20 until all the pixel units are divided into the category areas; s40: and storing the position information of the peripheral boundary pixel units of each category area and the Mura compensation value of the corresponding category area.
The invention also provides a display device for calculating and displaying the Mura compensation value by the Demura method.
The Demura method based on clustering saves space in a lossless manner, and only records category region ID and edge point position information for a category region, so that Mura compensation values required by all points in the category region are included. When the threshold value of the Mura compensation value=0 is preset, the algorithm records the Mura compensation value without precision loss, and the storage space of the Mura compensation value is saved while the complete image information is reserved.
Furthermore, the Mura compensation value and the position information of the edge pixel unit of the category area are obtained at the same time, and the method judges and marks the points at the edge of the category area while marking the category area. Thereby distinguishing the algorithm from conventional image segmentation or image clustering algorithms.
Further, the adjustability and flexibility, due to the storage space and accuracy, can be adjusted by adjusting the allowable preset Mura compensation value threshold of the starting pixel unit and the peripheral pixel units, i.e. the redundancy difference value β. Thereby further reducing the required storage space substantially within the allowed accuracy. This adjustability has a very strong utility. Namely, when (1) the method aims at different Mura compensation value precision requirements, the storage can be correspondingly adjusted so as to realize the highest precision/storage ratio. (2) When the storage space of the Mura compensation value is fixed, the self-adaptive adjustment of beta can be used for obtaining the Mura compensation value division area information (ID, mura compensation value and edge point position information) meeting the storage condition, so that the method is more flexible in practical application, and the storage cost is more controllable in production of fixed storage Flash.
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The foregoing and other objects, features and advantages of the invention will be apparent from the following more particular descriptions of exemplary embodiments of the invention as illustrated in the accompanying drawings wherein like reference numbers generally represent like parts throughout the exemplary embodiments of the invention.
FIG. 1 is a schematic diagram of steps of a Mura data acquisition method of the present invention;
FIGS. 2-4 are schematic diagrams illustrating an embodiment of a Mura data acquisition method according to the present invention;
FIG. 5 is a diagram of another embodiment of the Mura data acquisition method of the present invention;
Fig. 6 is a schematic diagram of a Mura data obtaining method according to another embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described in the following with reference to the drawings in the embodiments of the present invention, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, and thus the protection scope of the present invention is more clearly and clearly defined. It should be apparent that the described embodiments of the invention are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the present application, the use of "or" means "and/or" unless stated otherwise. Furthermore, the use of the terms "include," "include," and "comprising," among other forms, are not limiting. In addition, unless specifically stated otherwise, terms such as "element" or "component" encompass both elements and components comprising one unit as well as elements and components comprising more than one unit.
As described in the background, the pixel compensation is attempted by using the Demura method of clustering, but the existing clustering algorithm itself does not have the capability of distinguishing edge points at the same time, and therefore does not have the function of representing an entire region with a very small amount of information. And the Mura compensation value is degraded based on the PCA principal component analysis method, so that the problem of losing accuracy and reducing compensation effect still exists.
As shown in fig. 1, the present invention provides a method Demura based on clustering, including: s10: taking a pixel unit of the display panel as an initial pixel unit, radiating outwards from the initial pixel unit, and sequentially calculating the Mura compensation value difference value of the peripheral pixel unit and the initial pixel unit from the near to the far; s20: dividing pixel units with the difference value of the Mura compensation value from the initial pixel unit being smaller than or equal to a preset Mura compensation value threshold into the same category area, distributing the ID of the category area, and obtaining the position information of peripheral boundary pixel units of the category area, the Mura compensation value of the category area and the preset Mura compensation value threshold; s30: selecting a pixel unit from the pixel units of the non-divided category areas of the display panel as a starting pixel unit, and continuing the operations in the steps S10 to S20 until all the pixel units are divided into the category areas; wherein the pixel units of the category areas are not divided again; s40: and storing the position information, the ID and the Mura compensation value of the peripheral boundary pixel units of each category area.
In this embodiment, the Mura compensation value is first obtained from any one of the pixel units in the display panel as a start pixel unit, for example, as shown in fig. 2, one pixel unit in the central area of the display panel is selected as the start pixel unit, which is located in the ith row and j columns of the pixel unit array, that is, the pixel unit (i, j). Then, the light is emitted outwards from the initial pixel unit, and in one embodiment, the specific method of outwards emitting is as follows: with the four neighbors of the starting pixel cell extending outward in both dimensions in the column direction and in both dimensions in the row direction, pixel cell (i+1, j), pixel cell (i, j-1), pixel cell (i, j+1) are selected on the four neighbors as shown in FIG. 2. Then, a Mura compensation value threshold is set, wherein the setting of the Mura compensation value threshold can be preset according to the display precision of the display panel, or the Mura compensation value threshold can be automatically set according to the storage space of the flash memory, for example, the data of a plurality of category areas can be stored according to the size estimation of the storage space, then the proper Mura compensation value threshold is calculated according to the number of the category areas, and the minimum Mura compensation value threshold which accords with the storage capacity is adjusted. Of course, this process is achieved through repeated estimation adjustment.
Next, obtaining Mura compensation values of the four pixel units, comparing the Mura compensation values with the Mura compensation value of the initial pixel unit one by one, and when the difference value of the Mura compensation values of the four peripheral pixel units and the initial pixel unit does not exceed a preset Mura compensation value threshold value, as shown in fig. 3, continuing to extend the peripheral pixel unit as a center in the four dimensions in the column direction and the four adjacent regions in the two dimensions in the row direction; as shown in fig. 2, since the pixel unit (i-1, j) does not exceed the preset Mura compensation value threshold, the pixel unit (i-1, j) and the starting pixel unit are classified into the same category region, and then continue to extend with the pixel unit (i-1, j) as the center, in this embodiment, the pixel unit (i, j) is divided into the category region, so that the pixel unit (i, j) is not divided again, that is, is not in the range of this time of outward radiation, and the comparison of the Mura compensation value difference is not performed. Since the pixel unit (i-2, j) is an edge area pixel unit again, as shown in fig. 3, the pixel unit (i-1, j-1) continues to extend towards two adjacent areas in the row direction, the Mura data of the pixel unit (i-1, j+1) and the pixel unit (i, j+1) are compared with the Mura compensation value difference value of the initial pixel unit (i, j), if the difference value does not exceed the preset Mura compensation value threshold, the difference value is classified as the same category area, and the other directions of the same method extend outwards.
Then, the ID of the category region is allocated, and position information of peripheral boundary pixel units of the category region, a Mura compensation value of the category region and a preset Mura compensation value threshold are obtained. The Mura compensation value of the category area is a Mura compensation value weighted according to the Mura compensation value of the pixel unit in the category area, for example, the Mura compensation value of the category area may be: the Mura compensation values of the initial pixel units in the eye area, the average value of the Mura compensation values of the pixel units in the eye area or the upward/downward rounding, the sum of the Mura compensation values of the pixel units in the eye area or the Mura data obtained by weighting calculation according to the Mura compensation values of the pixel units in the eye area are all possible according to a certain weighting algorithm, and the examples of the invention do not limit the protection scope.
Specifically, the Mura compensation values are divided into regions by the similarity of chromaticity among pixel units according to the region continuity and the boundary of the Mura compensation values.
For the same category region, only category region category ID, position information of peripheral boundary pixels of the category region, namely, a position set of edge pixel points, and Mura compensation values of the category region, namely, a representative chromaticity value in the region range are used as identification to represent the Mura compensation values of the whole region. For example, the gray area and the black area shown in fig. 4 are the same category area, the Mura compensation value is a gray value, and the position information of the peripheral boundary pixels is a position set of a circle of black pixel units at the edge of the gray area, where category ids=1 of the black and gray areas.
When the difference between the Mura compensation value of the pixel units around the black pixel unit area and the Mura compensation value of the starting pixel unit in fig. 4 is greater than the threshold value of the Mura compensation value, the black pixel unit is extended outwards to be adjacent to one pixel unit as a new starting pixel unit, or one pixel unit is selected from the pixel units in the undivided category area of the display panel as the starting pixel unit, the operations in steps S10 to S20 are continued until the difference between the Mura compensation value of the peripheral pixel unit and the starting pixel unit is greater than the threshold value of the preset Mura compensation value, and then the ID of the category area is updated. And obtaining the position information of the peripheral boundary pixel units of the category area, the Mura compensation value of the category area and a preset Mura compensation value threshold value, and storing the Mura compensation value as the Mura compensation value of the category area. In other words, until the area of a certain category cannot continue to expand, another unclassified pixel unit is opened, and the ID is updated, for example, to id=id+1. The region expansion is resumed. The cycle is repeated until all pixels are assigned a classification of one ID.
Then, the preset Mura compensation value threshold is adjusted, and after the threshold is changed, steps S10 to S40 are continued with the new threshold. Specifically, the preset Mura compensation value threshold may be adjusted according to the display accuracy of the display panel or the threshold may be adaptively adjusted according to the storage space of the flash memory, and the steps S10 to S40 may be continued after the adjustment to the minimum value corresponding to the storage capacity.
In another embodiment, as shown in fig. 5, the method of radiating outward from the starting pixel cell is:
extending outwards on eight adjacent areas of the periphery by using the initial pixel units; when the difference value of the Mura compensation values of the peripheral pixel units and the initial pixel units does not exceed the preset Mura compensation value threshold value, continuing to extend outwards on the eight adjacent areas of the periphery by taking the peripheral pixel units as the centers; stopping until the difference value of the Mura compensation values of the peripheral pixel units and the starting pixel units is larger than a preset Mura compensation value threshold value.
In another embodiment, as shown in fig. 6, in step S10, first, a pixel unit on the peripheral boundary of the display panel is an initial pixel unit, such as pixel unit (1, 1); in step S30, when the Mura compensation value is greater than the preset Mura compensation value threshold, the operations of steps 10 to 30 are continued with the pixel unit as the starting pixel unit.
The Mura compensation value obtained by the Demura method saves space in a lossless manner, and only the category region ID and the edge point position information are recorded for the category region, so that the Mura compensation value required by all points in the category region is included. When the threshold value of the Mura compensation value=0 is preset, the algorithm records the Mura compensation value without precision loss, and the space for storing the Mura compensation value is saved while the complete image information is reserved.
Furthermore, the Mura compensation value and the position information of the edge pixel unit of the category area are obtained at the same time, and the method judges and marks the points at the edge of the category area while marking the category area. Thus, the algorithm is distinguished from the traditional image segmentation or image clustering algorithm, and the algorithm does not have the function of distinguishing edge information at the same time.
Further, the adjustability and flexibility, due to the storage space and accuracy, can be adjusted by adjusting the allowable preset Mura compensation value threshold of the starting pixel unit and the peripheral pixel units, i.e. the redundancy difference value β. Thereby further reducing the required storage space substantially within the allowed accuracy. This adjustability has a very strong utility. Namely, when (1) the method aims at different Mura compensation value precision requirements, the storage can be correspondingly adjusted so as to realize the highest precision/storage ratio. (2) When the storage space of the Mura compensation value is fixed, the self-adaptive adjustment of beta can be used for obtaining the Mura compensation value division area information meeting the storage condition, wherein the Mura compensation value division area information comprises an ID, the Mura compensation value and the edge point position information, so that the method is more flexible in practical application, and the storage cost is more controllable in production of fixed storage Flash.
Then, the position information of peripheral boundary pixel units of various category areas, the Mura compensation value of the same category area of the starting pixel unit and a preset Mura compensation value threshold are stored into a flash memory.
The invention also provides a display device for calculating and displaying the Mura compensation value by using the Dmura method. Specifically, the display panel can be an OLED display panel.
The foregoing is merely illustrative of the preferred embodiments of the present invention and is not intended to limit the embodiments and scope of the present invention, and it should be appreciated by those skilled in the art that equivalent substitutions and obvious variations may be made using the description and illustrations herein, which should be included in the scope of the present invention.
Claims (9)
1. A method Demura based on clustering, comprising:
S10: taking a pixel unit of the display panel as an initial pixel unit, radiating outwards from the initial pixel unit, and sequentially calculating the Mura compensation value difference value of the peripheral pixel unit and the initial pixel unit from the near to the far;
S20: dividing pixel units with the difference value of the Mura compensation value from the initial pixel unit being smaller than or equal to a preset Mura compensation value threshold into the same category area, distributing the ID of the category area, and obtaining the position information of peripheral boundary pixel units of the category area, the Mura compensation value of the category area and the preset Mura compensation value threshold;
S30: selecting a pixel unit from the pixel units of the non-divided category areas of the display panel as a starting pixel unit, and continuing the operations in the steps S10 to S20, wherein the pixel units of the divided category areas are not divided again until all the pixel units are divided into the category areas;
S40: and storing the position information, the ID and the Mura compensation value of the peripheral boundary pixel units of each category area.
2. The method of claim Demura, wherein the Mura compensation values for the category area are Mura compensation values weighted according to the Mura compensation values of the pixel units in the category area.
3. The method Demura as defined in claim 2, further comprising the step of: and (5) adjusting a preset Mura compensation value threshold, and continuing to step S10 to step S40.
4. The method of claim Demura, wherein the method of radiating outward from the starting pixel cell is:
Extending outwards by utilizing four adjacent domains of the initial pixel unit in two dimensions of the column direction and two dimensions of the row direction;
When the difference value of the Mura compensation values of the peripheral pixel units and the initial pixel units does not exceed the preset Mura compensation value threshold value, continuing to extend the peripheral pixel units as centers in the two dimensions of the column direction and the four adjacent domains of the two dimensions of the row direction;
Stopping until the difference value of the Mura compensation values of the peripheral pixel units and the starting pixel units is larger than or equal to a preset Mura compensation value threshold value.
5. The method of claim Demura, wherein the method of radiating outward from the starting pixel cell is:
extending outwards on eight adjacent areas of the periphery by using the initial pixel units;
When the difference value of the Mura compensation values of the peripheral pixel units and the initial pixel units does not exceed the preset Mura compensation value threshold value, continuing to extend outwards on the eight adjacent areas of the periphery by taking the peripheral pixel units as the centers;
Stopping until the difference value of the Mura compensation values of the peripheral pixel units and the starting pixel units is larger than or equal to a preset Mura compensation value threshold value.
6. The method of claim 1, wherein the step of determining the target value comprises,
In step S10, first, a pixel unit on the peripheral boundary of the display panel is an initial pixel unit;
In step S30, when the Mura compensation value is greater than or equal to the preset Mura threshold, the operations of steps 10 to 40 are continued with the pixel unit as the starting pixel unit.
7. The method Demura as defined in claim 1, further comprising the step of: and (5) adjusting a preset Mura compensation value threshold according to the display precision of the display panel or performing threshold self-adaptive adjustment according to the storage space to a minimum value conforming to the storage capacity, and continuing to step S10 to step S40.
8. The method Demura as defined in claim 1, further comprising:
and reading the stored Mura compensation value from the storage space to compensate the pixels of each pixel unit of the display device, and displaying the display device through the compensated pixels.
9. A display device for calculating and displaying Mura compensation values by using the method Demura according to any one of claims 1 to 8.
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