CN109166511B - Compression method for compensating gauge of display device - Google Patents
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Abstract
The invention relates to a compression method of a display device compensation gauge. The display device compensation gauge compression method comprises the following steps: detecting all Mura regions according to an original compensation table, and feeding back to obtain four vertex coordinates and central point gray scales of tangent rectangles of the Mura regions and a gray scale average value of non-Mura regions; determining a Gaussian parameter and a Gaussian model of each Mura area; subtracting Gaussian models of all Mura regions from the original compensation table to obtain a new compensation table; compressing the new compensation table to obtain a compression packet of the new compensation table; and storing the gray scale average value of the non-Mura regions in the original compensation table, the Gaussian parameters of each Mura region and the compression packet of the new compensation table. The compression method for the compensation table of the display device utilizes the Gaussian model to eliminate and weaken the Mura area, so that the gray scale of the original compensation table is closer, and the compression is more convenient, thereby greatly increasing the compression efficiency, reducing the occupation of the memory space, saving the hardware resources of the system, reducing the cost and reducing the time consumed by transmitting and burning data.
Description
Technical Field
The invention relates to the technical field of display, in particular to a compression method for compensating gauge of a display device.
Background
The flat panel display device has many advantages of thin body, power saving, no radiation, etc., and is widely used. The current display panel often has the defect of uneven brightness (Mura) due to the production process and the like.
The existence of the Mura area does not affect the use function of the display panel, but reduces the viewing comfort of users, thereby restricting the development of the LCD display panel and the OLED display panel. Existing display panels typically need to go through an automatic optical inspection device after manufacturing to detect the presence of Mura areas.
To eliminate the Mura area of the display panel, a compensation table is generally used to store compensation information for each pixel. When the image is projected, the driving board searches the compensation table, adjusts the signal, heightens the signal of the panel in the dark area, and lowers the signal of the panel in the bright area, so that the uniform display effect is presented. In the compensation table, each pixel corresponds to a set of compensation information, each set of compensation information containing one or more compensation data. The physical meaning of the compensation data depends on the algorithm, usually the adjustment value for a particular gray level, and there is also an algorithm that sets it to the voltage value to be adjusted.
The compensation table records compensation information of each pixel/sub-pixel, and the size of the compensation table is equal to the number of panel pixels multiplied by the size of each group of compensation information. If a 55-inch UHD (ultra high definition) RGB panel is compensated, assuming that the compensation information of each sub-pixel is 24 bits, the data amount of the compensation table is 2160 × 3840 × 24 bits × 3 is equal to 597 Mb. The compensation table occupies a large amount of system storage resources and has higher requirements on a hardware system; and the process of transmitting and burning data on the production line takes time.
In fact, in the compensation table, the respective gray levels have correlation, and there is a possibility of compression.
Disclosure of Invention
Therefore, an object of the present invention is to provide a compression method for compensating gauge of a display device, which uses a gaussian model to replace a Mura region, so as to make gray scales of a compensation table close and facilitate compression.
To achieve the above object, the present invention provides a display device compression compensation method, including:
detecting all Mura regions according to an original compensation table, and feeding back to obtain four vertex coordinates and central point gray scales of tangent rectangles of the Mura regions and a gray scale average value of non-Mura regions;
determining a Gaussian parameter and a Gaussian model of each Mura area;
subtracting Gaussian models of all Mura regions from the original compensation table to obtain a new compensation table;
compressing the new compensation table to obtain a compression packet of the new compensation table;
and storing the gray scale average value of the non-Mura regions in the original compensation table, the Gaussian parameters of each Mura region and the compression packet of the new compensation table.
Wherein, still include the step: before determining the Gaussian parameters and the Gaussian models of the Mura regions, determining the Mura regions through threshold segmentation.
Wherein the Gaussian model is
Wherein, four vertex coordinates of the Mura area tangent rectangle are used for obtaining a central point coordinate muxAnd muy(ii) a And traversing all points of the Mura region to find two points farthest from the central point to obtain the inclination angle theta, thereby determining the length and the width of the Mura region.
Wherein, still include the step: and during decompression, decompressing a compressed packet of the new compensation table to obtain a new compensation table, constructing Gaussian models of all Mura regions according to the stored gray-scale average value of the non-Mura regions in the original compensation table and the Gaussian parameters of all the Mura regions, and adding the Gaussian models of all the Mura regions into the new compensation table to obtain the original compensation table.
The invention also provides a compression method for compensating gauge of a display device, which comprises the following steps:
detecting all Mura regions according to an original compensation table, and feeding back to obtain four vertex coordinates and central point gray scales of tangent rectangles of the Mura regions and a gray scale average value of non-Mura regions;
determining a Gaussian parameter and a Gaussian model of each Mura area;
each Mura region is reconstructed by a Gaussian model according to the own Gaussian parameter to obtain corresponding reconstructed Mura regions;
subtracting each reconstructed Mura area from each Mura area to obtain each residual error of the Mura area, and compressing each residual error of the Mura area to obtain a compression packet of each residual error of the Mura area;
and storing the gray scale average value of the non-Mura regions, the Gaussian parameters of each Mura region and the compression packet of the residual error of each Mura region in the original compensation table.
Wherein, still include the step: before determining the Gaussian parameters and the Gaussian models of the Mura regions, determining the Mura regions through threshold segmentation.
Wherein the Gaussian model is
Wherein, four vertex coordinates of the Mura area tangent rectangle are used for obtaining a central point coordinate muxAnd muy(ii) a And traversing all points of the Mura region to find two points farthest from the central point to obtain the inclination angle theta, thereby determining the length and the width of the Mura region.
Wherein, still include the step: and during decompression, decompressing the compressed packet of each Mura region residual to obtain each Mura region residual, constructing Gaussian models of all Mura regions according to the gray scale average value of non-Mura regions in the stored original compensation table and the Gaussian parameters of each Mura region, respectively adding each Mura region residual to the Gaussian models of each Mura region to obtain all Mura regions of the original compensation table, and reconstructing the original compensation table according to the gray scale average value of the non-Mura regions.
In summary, the compression method for the compensation table of the display device utilizes the Gaussian model to eliminate and weaken the Mura area, so that the gray scale of the original compensation table is closer and the compression is more convenient, thereby greatly increasing the compression efficiency, reducing the occupation of the memory space, saving the hardware resources of the system, reducing the cost and reducing the time consumed by transmitting and burning data.
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The technical solution and other advantages of the present invention will become apparent from the following detailed description of specific embodiments of the present invention, which is to be read in connection with the accompanying drawings.
In the drawings, there is shown in the drawings,
FIG. 1A is a flow chart of a method of compensating for gauge compression in a display device according to the present invention;
FIG. 1B is a schematic diagram of the main stages of the method shown in FIG. 1A;
FIG. 2A is a flow chart illustrating a method of compensating for gauge compression in yet another illustrative apparatus of the present invention;
FIG. 2B is a schematic diagram of the main stages of the method shown in FIG. 2A;
FIG. 3 is a flow chart of a preferred embodiment of a method of compensating for gauge compression in a display device according to the present invention;
FIG. 4 is a flow chart of a preferred embodiment of a method of compensating for gauge compression in an apparatus according to the present invention.
Detailed Description
The compression method for the compensation table of the display device utilizes the Gaussian model to eliminate and weaken the Mura area, so that the gray scale of the original compensation table is closer, and the compression is more convenient.
Referring to fig. 1A and 1B, fig. 1A is a flow chart illustrating a method of compensating for gauge compression of a display device according to the present invention, and fig. 1B is a schematic view illustrating a main stage of the method of compensating for gauge compression of a display device according to the present invention. The compression method for compensating gauge of display device mainly includes the following steps:
s1, detecting all Mura regions according to the original compensation table, and feeding back to obtain four vertex coordinates, central point gray scales and gray scale average values of non-Mura regions of tangent rectangles of each Mura region;
in FIG. 1B, the gray-scale image is used to represent the original compensation table for recording compensation information, and the Mura region correspondingly forms a Mura image in the compensation table; detecting all Mura regions such as Mura region 1, Mura region 2 and Mura region 3 according to the original compensation table; and feeding back coordinates of four vertexes of the tangent rectangle, the gray scale of the central point and the average value of the gray scales of the non-Mura area.
S2, determining Gaussian parameters and Gaussian models of the Mura regions;
the gaussian model of the present invention can take the form:
wherein, the Gaussian parameter A is the central point gray scale, theta is the inclination angle, muxAnd muyIs the center point coordinate, σ, of the Gaussian modelxAnd σyLength representing gaussian modelAnd wide, offset is the gray-scale average of the non-mura area.
1. If the Mura region is not inclined, as Mura region 1 and Mura region 2 in FIG. 1B, the coordinates of the center point, i.e., μ, are obtained by using the coordinates of the four verticesxAnd muy. Length and width of Mura region, i.e. sigmaxAnd σy. And determining the Gaussian model of the current Mura region by combining the gray scale of the central point and the gray scale average value of the non-Mura region when theta is 0.
2. If the Mura region is tilted, as in Mura region 3 of FIG. 1B, the coordinates of the center point, i.e., μ, are obtained using the coordinates of the four verticesxAnd muy. Traversing all the points to find two points farthest from the central point to obtain an inclination angle theta, thereby determining the length and width of the Mura region, namely sigmaxAnd σy. And determining the Gaussian model of the current Mura region by combining the gray scale of the central point and the gray scale average value of the non-Mura region.
S3, subtracting Gaussian models of all Mura regions from the original compensation table to obtain a new compensation table;
and when the Gaussian models of the Mura regions in the original compensation table are determined, subtracting the Gaussian models of all the Mura regions from the original compensation table. According to the method, the Mura region is eliminated and weakened by using the Gaussian model, so that the gray scale of the original compensation table is closer, and the subsequent compression is more convenient; after the elimination of the Mura region, the weakened Mura region 1, Mura region 2, and Mura region 3 of the original compensation table are shown by broken lines in fig. 1B.
S4, compressing the new compensation table to obtain a compression packet of the new compensation table;
s5, storing the gray scale average value of the non-Mura area in the original compensation table, the Gaussian parameter of each Mura area and the compression packet of the new compensation table.
And compressing the new compensation table, and finally decompressing the new compensation table into the original compensation table in the subsequent use only by storing the gray scale average value of the non-Mura region in the original compensation table, the central point gray scale, the central point coordinate, the length, the width and the inclination angle of each Mura region and the compression packet of the new compensation table.
When decompressing, firstly decompressing the compressed packet of the new compensation table, then constructing the Gaussian models of all Mura regions according to the stored information, and adding the Gaussian models into the new compensation table, thus reconstructing the original compensation table. And decompressing the compressed packet of the new compensation table to obtain a new compensation table, constructing Gaussian models of all Mura regions according to the stored gray-scale average value of the non-Mura regions in the original compensation table and the Gaussian parameters of all the Mura regions, and adding the Gaussian models of all the Mura regions into the new compensation table to obtain the original compensation table.
Referring to fig. 3, a flow chart of a preferred embodiment of a method for compensating compression of a display device according to the present invention mainly comprises:
1. and detecting the Mura region, and feeding back four vertex coordinates of the tangent rectangle, the central point gray scale and the gray scale average value of the non-Mura region.
2. Optionally, before determining the gaussian parameters and the gaussian model of the current Mura region, the Mura region is determined by threshold segmentation. And taking the gray-scale image representing the original compensation table as a detection image, and taking each Mura area as a foreground to be divided from the detection image as a background, so that the Mura area and the non-Mura area can be accurately divided.
The gray level of each Mura region may be greater than the background gray level or less than the background gray level, so a multi-threshold processing method, i.e., a plurality of global threshold processing methods, may be used to segment the Mura regions. For example, the gray scale value of the detection image may be calculated by the ohio method (Otsu), and the variance between the respective areas obtained by dividing the detection image is maximized to complete the threshold division, thereby dividing each Mura area as a foreground from the detection image as a background.
For example, when the detection image needs to be divided into three regions, two thresholds are needed, a histogram of the original image of the detection image is made, and the centers of two histogram valleys in the histogram are taken as two thresholds T1, T2The threshold value is related to the gray level distribution of the whole image, and the image after threshold value division processing is given by the following formula:
3. And acquiring the Gaussian parameters of the current Mura area by using the four vertex coordinates, wherein the Gaussian parameters are respectively the coordinates of the central point. And traversing all the points to find two points farthest from the central point to obtain the inclination angle, thereby determining the length and the width of the Mura region. And determining the Gaussian model of the current Mura region by combining the gray scale of the central point and the gray scale average value of the non-Mura region.
4. And (3) determining Gaussian models of all Mura regions in the compensation table according to the step (3), subtracting the Gaussian models of all the Mura regions from the original compensation table to obtain a new compensation table, and compressing the new compensation table. And finally, the gray scale average value of the non-Mura regions in the original compensation table, the central point gray scale, the central point coordinate, the length, the width and the inclination angle of each Mura region and the compression packet of the new compensation table are only needed to be stored to be decompressed into the original compensation table.
5. When decompressing, firstly decompressing the compressed packet of the new compensation table, then constructing the Gaussian models of all Mura regions according to the stored information, and adding the Gaussian models into the new compensation table, thus reconstructing the original compensation table.
Referring to fig. 2A and 2B, fig. 2A is a flow chart illustrating a method of compensating for gauge compression according to another embodiment of the present invention, and fig. 2B is a schematic diagram illustrating a main stage of the method of compensating for gauge compression according to another embodiment of the present invention. The compression compensating method for display unit includes the following steps:
s10, detecting all Mura regions according to the original compensation table, and feeding back to obtain four vertex coordinates, central point gray scales and gray scale average values of non-Mura regions of tangent rectangles of each Mura region;
in fig. 2B, the original compensation table for recording compensation information is represented by a gray-scale image, and the Mura area correspondingly forms a Mura image in the compensation table; detecting all Mura regions such as Mura region 1, Mura region 2 and Mura region 3 according to the original compensation table; and feeding back coordinates of four vertexes of the tangent rectangle, the gray scale of the central point and the average value of the gray scales of the non-Mura area.
S20, determining Gaussian parameters and Gaussian models of the Mura regions; the specific form of the gaussian parameters and gaussian model can be seen from the description of the method shown in fig. 1A.
S30, respectively utilizing a Gaussian model to reconstruct each Mura area according to the own Gaussian parameter to obtain each corresponding reconstructed Mura area;
if the gaussian parameters of the respective Mura regions in fig. 2B are determined, the Mura regions can be reconstructed using a gaussian model, for example, the reconstruction using the gaussian parameters of the Mura region 1 in fig. 2B results in the Mura region 1'.
S40, subtracting each reconstructed Mura area from each Mura area to obtain each Mura area residual error, and compressing each Mura area residual error to obtain a compression packet of each Mura area residual error;
according to the method, the Mura region is eliminated and weakened by using the Gaussian model, so that the gray scale of the original compensation table is closer, and the subsequent compression is more convenient; in the compensation gauge compression method of the display device, the reconstructed Mura region is subtracted from the original Mura region, for example, the reconstructed Mura region 1' is subtracted from the original Mura region 1 in fig. 2B, and then the residual error is compressed; the method reconstructs all Mura regions of the original compensation table, and respectively calculates the difference with the original Mura regions, and compresses the residual error.
S50, storing the gray scale average value of the non-Mura region in the original compensation table, the Gaussian parameter of each Mura region and the compression packet of the residual error of each Mura region.
And finally, the gray scale average value of the non-Mura regions in the original compensation table, the central point gray scale, the central point coordinate, the length, the width and the inclination angle of each Mura region and the compression packet of all the residual errors of the Mura regions are only needed to be stored, and the compression packet can be decompressed into the original compensation table in the subsequent use.
When decompressing, firstly decompressing the compression packet of each Mura region residual to obtain each Mura region residual, then constructing the Gaussian models of all Mura regions according to the stored gray scale average value of the non-Mura regions in the original compensation table and the Gaussian parameters of each Mura region, respectively adding the Gaussian models of each Mura region with each Mura region residual to obtain all Mura regions of the original compensation table, and then reconstructing the original compensation table according to the gray scale average value of the non-Mura regions.
Referring to fig. 4, a flow chart of a preferred embodiment of a method for compensating compression of a display device according to the present invention mainly includes:
10. and detecting the Mura region, and feeding back four vertex coordinates of the tangent rectangle, the central point gray scale and the gray scale average value of the non-Mura region.
20. Optionally, before determining the gaussian parameters and the gaussian model of the current Mura region, the Mura region is determined by threshold segmentation.
30. And acquiring the Gaussian parameters of the current Mura area by using the four vertex coordinates, wherein the Gaussian parameters are respectively the coordinates of the central point. And traversing all the points to find two points farthest from the central point to obtain the inclination angle, thereby determining the length and the width of the Mura region. And determining the Gaussian model of the current Mura region by combining the gray scale of the central point and the gray scale average value of the non-Mura region.
40. If the gaussian parameters of 1 Mura region have been determined by step 30, the Mura region can be reconstructed using the model, subtracted from the original Mura region, and the residual thereof compressed. Similarly, all the Mura regions are reconstructed and respectively subtracted from the original Mura regions, and the residual error is compressed. And finally, only the gray scale average value of the non-Mura regions in the original compensation table, the central point gray scale, the central point coordinate, the length, the width and the inclination angle of each Mura region and the compression packet of all the residual errors of the Mura regions are saved and decompressed into the original compensation table.
50. When decompressing, firstly decompressing the compressed packet of the residual error of each Mura area, then constructing the Gaussian models of all the Mura areas according to the stored information, respectively adding the reconstructed Gaussian models to the residual error of the Mura area to obtain all the Mura areas on the original compensation table, and then reconstructing the original compensation table according to the gray scale average value of the non-Mura areas.
In summary, the compression method for the compensation table of the display device utilizes the Gaussian model to eliminate and weaken the Mura area, so that the gray scale of the original compensation table is closer and the compression is more convenient, thereby greatly increasing the compression efficiency, reducing the occupation of the memory space, saving the hardware resources of the system, reducing the cost and reducing the time consumed by transmitting and burning data.
As described above, it will be apparent to those skilled in the art that various other changes and modifications can be made based on the technical solution and the technical idea of the present invention, and all such changes and modifications should fall within the protective scope of the appended claims.
Claims (8)
1. A method of compensating for gauge compression in a display device, comprising:
detecting all Mura regions according to an original compensation table, and feeding back to obtain four vertex coordinates and central point gray scales of tangent rectangles of the Mura regions and a gray scale average value of non-Mura regions;
determining a Gaussian parameter and a Gaussian model of each Mura area;
subtracting Gaussian models of all Mura regions from the original compensation table to obtain a new compensation table;
compressing the new compensation table to obtain a compression packet of the new compensation table;
storing the gray scale average value of the non-Mura regions in the original compensation table, the Gaussian parameters of each Mura region and the compression packet of the new compensation table;
the Gaussian model is
Wherein, the Gaussian parameter A is the central point gray scale of the Mura area, the Gaussian parameter theta is the inclination angle, and the Gaussian parameter muxAnd muyIs the coordinate of the center point of the Mura region and the Gaussian parameter sigmaxAnd σyRepresents the length and width of the Mura region; offset is the gray-scale average of the non-Mura regions.
2. The method of compensating for gauge compression of a display device of claim 1, further comprising the steps of: before determining the Gaussian parameters and the Gaussian models of the Mura regions, determining the Mura regions through threshold segmentation.
3. The method of claim 1, wherein the coordinates μ of the center point are obtained using coordinates of four vertices of a tangent rectangle of the Mura regionxAnd muy(ii) a And traversing all points of the Mura region to find two points farthest from the central point, obtaining the inclination angle theta, and determining the length and the width of the Mura region.
4. The method of compensating for gauge compression of a display device of claim 1, further comprising the steps of: and during decompression, decompressing a compressed packet of the new compensation table to obtain a new compensation table, constructing Gaussian models of all Mura regions according to the stored gray-scale average value of the non-Mura regions in the original compensation table and the Gaussian parameters of all the Mura regions, and adding the Gaussian models of all the Mura regions into the new compensation table to obtain the original compensation table.
5. A method of compensating for gauge compression in a display device, comprising:
detecting all Mura regions according to an original compensation table, and feeding back to obtain four vertex coordinates and central point gray scales of tangent rectangles of the Mura regions and a gray scale average value of non-Mura regions;
determining a Gaussian parameter and a Gaussian model of each Mura area;
each Mura region is reconstructed by a Gaussian model according to the own Gaussian parameter to obtain corresponding reconstructed Mura regions;
subtracting each reconstructed Mura area from each Mura area to obtain each residual error of the Mura area, and compressing each residual error of the Mura area to obtain a compression packet of each residual error of the Mura area;
storing the gray scale average value of the non-Mura regions in the original compensation table, the Gaussian parameters of each Mura region and the compression packet of the residual error of each Mura region;
the Gaussian model is
Wherein, the Gaussian parameter A is the central point gray scale of the Mura area, the Gaussian parameter theta is the inclination angle, and the Gaussian parameter muxAnd muyIs the coordinate of the center point of the Mura region and the Gaussian parameter sigmaxAnd σyRepresents the length and width of the Mura region; offset is the gray-scale average of the non-Mura regions.
6. The method of compensating for gauge compression of a display device of claim 5, further comprising the steps of: before determining the Gaussian parameters and the Gaussian models of the Mura regions, determining the Mura regions through threshold segmentation.
7. The method of claim 5, wherein the coordinates μ of the center point are obtained using coordinates of four vertices of a tangent rectangle of the Mura regionxAnd muy(ii) a And traversing all points of the Mura region to find two points farthest from the central point, obtaining the inclination angle theta, and determining the length and the width of the Mura region.
8. The method of compensating for gauge compression of a display device of claim 5, further comprising the steps of: and during decompression, decompressing the compressed packet of each Mura region residual to obtain each Mura region residual, constructing Gaussian models of all Mura regions according to the gray scale average value of non-Mura regions in the stored original compensation table and the Gaussian parameters of each Mura region, respectively adding each Mura region residual to the Gaussian models of each Mura region to obtain all Mura regions of the original compensation table, and reconstructing the original compensation table according to the gray scale average value of the non-Mura regions.
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