WO2018040463A1 - DeMura表的数据压缩、解压缩方法及Mura补偿方法 - Google Patents

DeMura表的数据压缩、解压缩方法及Mura补偿方法 Download PDF

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WO2018040463A1
WO2018040463A1 PCT/CN2017/070218 CN2017070218W WO2018040463A1 WO 2018040463 A1 WO2018040463 A1 WO 2018040463A1 CN 2017070218 W CN2017070218 W CN 2017070218W WO 2018040463 A1 WO2018040463 A1 WO 2018040463A1
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sub
mura
pixel unit
demura table
region
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PCT/CN2017/070218
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English (en)
French (fr)
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陶秋健
许神贤
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深圳市华星光电技术有限公司
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Priority to US15/328,521 priority Critical patent/US10224955B2/en
Publication of WO2018040463A1 publication Critical patent/WO2018040463A1/zh

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    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M7/00Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
    • H03M7/30Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/14Digital output to display device ; Cooperation and interconnection of the display device with other functional units
    • G06F3/147Digital output to display device ; Cooperation and interconnection of the display device with other functional units using display panels
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M7/00Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
    • H03M7/30Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
    • H03M7/3059Digital compression and data reduction techniques where the original information is represented by a subset or similar information, e.g. lossy compression
    • H03M7/3062Compressive sampling or sensing
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09GARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/006Electronic inspection or testing of displays and display drivers, e.g. of LED or LCD displays
    • GPHYSICS
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    • G09GARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/20Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
    • G09G3/34Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source
    • G09G3/36Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source using liquid crystals
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09GARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/20Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
    • G09G3/34Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source
    • G09G3/36Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source using liquid crystals
    • G09G3/3611Control of matrices with row and column drivers
    • G09G3/3622Control of matrices with row and column drivers using a passive matrix
    • G09G3/3644Control of matrices with row and column drivers using a passive matrix with the matrix divided into sections
    • GPHYSICS
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    • G09G2300/04Structural and physical details of display devices
    • G09G2300/0421Structural details of the set of electrodes
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    • GPHYSICS
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    • G09GARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2320/00Control of display operating conditions
    • G09G2320/02Improving the quality of display appearance
    • G09G2320/0271Adjustment of the gradation levels within the range of the gradation scale, e.g. by redistribution or clipping
    • G09G2320/0276Adjustment of the gradation levels within the range of the gradation scale, e.g. by redistribution or clipping for the purpose of adaptation to the characteristics of a display device, i.e. gamma correction
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09GARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
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    • G09G2320/02Improving the quality of display appearance
    • G09G2320/0285Improving the quality of display appearance using tables for spatial correction of display data
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09GARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2320/00Control of display operating conditions
    • G09G2320/06Adjustment of display parameters
    • G09G2320/0673Adjustment of display parameters for control of gamma adjustment, e.g. selecting another gamma curve
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09GARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2320/00Control of display operating conditions
    • G09G2320/06Adjustment of display parameters
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    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09GARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2340/00Aspects of display data processing
    • G09G2340/04Changes in size, position or resolution of an image
    • G09G2340/0457Improvement of perceived resolution by subpixel rendering

Definitions

  • the invention belongs to the field of liquid crystal display, and particularly relates to a data compression, decompression method and a Mura compensation method of a DeMura table.
  • Mura refers to the phenomenon that the brightness of the display surface is uneven and causes various traces.
  • DeMura is actually a process of compensating for Mura. From the camera to capture the brightness of the panel picture, obtain the in-plane Mura information, and then extract and correct the Mura through some algorithms, and finally get a compensation table (DeMura Table) for hardware (such as processor) interpolation call.
  • a compensation table (DeMura Table) for hardware (such as processor) interpolation call.
  • the acquisition of the Mura information is performed by the camera, and the information is processed by the personal computer to obtain a compensation table, and finally the compensation table is burned in the storage device (for example, Flash).
  • the storage device for example, Flash
  • the size of the compensation table tends to be large. It has a great influence on the cost of the liquid crystal display. It can be said that the compensation table determines the size of the Flash capacity. Therefore, how to effectively compress the size of the compensation table to save the cost of Flash in production becomes an urgent problem to be solved.
  • One of the technical problems to be solved by the present invention is to provide a method for effectively compressing the size of the compensation table in the DeMura process to save costs.
  • the embodiment of the present application first provides a data compression method of a DeMura table, including: acquiring image information of a display panel; processing the image information by using a DeMura algorithm to obtain an original DeMura table; The original DeMura table performs region extraction to delineate the range of the Mura region; and performs edge detection based on the extracted Mura region to obtain Mura The boundary information of the region; the sub-pixel units included in the display panel are allocated according to the results of the region extraction and the edge detection, and the values of the sampling points in the DeMura table are determined.
  • the acquiring the image information of the display panel comprises: dividing the sub-pixel unit included in the display panel into four partitions; respectively acquiring image information of each partition; and acquiring the entire display based on the image information of each partition Image information of the panel.
  • four sub-pixel units obtained by intersecting every two rows and two columns are divided into one block, and four sub-pixel units within the block are divided into four different partitions.
  • said performing region extraction based on said original DeMura table to delineate a range of Mura regions comprises: calculating an average of data in said table based on said original DeMura table; each of said original DeMura tables Comparing the data with the average value, when the absolute value of the difference between the compared data and the average value is greater than a preset threshold, determining that the sub-pixel unit corresponding to the compared data is included in the Mura region When the absolute value of the difference between the compared data and the average value is less than or equal to a preset threshold, it is determined that the sub-pixel unit corresponding to the compared data is not included in the Mura region.
  • the sub-pixel unit included in the display panel is allocated according to the result of the region extraction and the edge detection, and the value of each sampling point in the DeMura table is determined, including: if the sub-pixel unit is not included in the Mura region or completely Included in the Mura region, a sub-pixel unit of a selected partition is determined from the block to which the sub-pixel unit belongs as a sampling point of the block, and the sub-pixel unit of the selected partition corresponds to the original DeMura table.
  • the data is used as the value of the sampling point of the block; if the sub-pixel unit is the boundary of the Mura region, the sub-pixel unit is used as the sampling point of the block to which the sub-pixel unit belongs, and the corresponding data of the sub-pixel unit in the original DeMura table is used as the data.
  • the value of the sample point for this block is used as the value of the sampling point of the block; if the sub-pixel unit is the boundary of the Mura region, the sub-pixel unit is used as the sampling point of the block to which the sub-pixel unit belongs, and the corresponding data of the sub-pixel unit in the original DeMura table is used as the data.
  • the value of the sample point for this block is used as the value of the sampling point of the block.
  • the partition to which the sampling point of each block represented by the two-digit binary number belongs is stored as a new DeMura table together with the value of the sampling point.
  • An embodiment of the present application further provides a data decompression method of a DeMura table, including: acquiring a value of a sampling point of nine neighboring blocks including a block in which a sub-pixel unit to be interpolated is located; if the value to be interpolated If the sub-pixel unit is completely contained in the Mura region or is the boundary of the Mura region, the points in the Mura region that are not included in the sampling points of the nine adjacent blocks are removed; if the sub-pixel unit to be interpolated is not included in the In the Mura region, the points of the sampling points of the nine neighboring blocks that are completely contained in the Mura region or the boundary of the Mura region are excluded; the sampling points of each neighboring block are calculated and the sub-pixel unit to be interpolated The distance corresponding to each sampling point is calculated according to the obtained values of the respective distances; the data corresponding to the sub-pixel unit to be interpolated in the DeMura table is determined according to the value and the weight of each sampling point. value.
  • the weight ⁇ i corresponding to each sample point is calculated according to the following expression:
  • D i is the distance between the sampling point of each adjacent block and the sub-pixel unit to be interpolated
  • n is the number of sampling points of the adjacent block
  • i is a sampling point for indicating each adjacent block. Natural number.
  • the value V P of the data corresponding to the sub-pixel unit to be interpolated in the DeMura table is determined according to the following expression:
  • V i is a value of a sampling point of each adjacent block
  • ⁇ i is a weight corresponding to a sampling point of each adjacent block
  • n is a number of sampling points of the adjacent block
  • i is used to represent each adjacent area The natural number of the sample points of the block.
  • a Mura compensation method which comprises: performing data compression on the original DeMura table by using the data compression method of the DeMura table described above, and storing the compressed DeMura table in the flash; reading from the flash Decompressing the DeMura table, and decompressing the compressed DeMura table by using the data decompression method of the DeMura table to obtain a Mura compensation value of all sub-pixel units including the liquid crystal panel; using the Mura compensation value pair The Mura of the liquid crystal panel is compensated.
  • the data is decompressed by the inverse distance weighted interpolation method and the position information of the sampling points, thereby effectively saving the storage cost of the DeMura table.
  • the data is small in loss during compression and decompression, simple to operate, and easy to implement.
  • 1 is a schematic diagram of performing DeMura compensation for Mura in the prior art
  • FIG. 2 is a schematic flow chart of a data compression method of a DeMura table according to an embodiment of the invention
  • FIG. 3 is a schematic diagram of photographing a grayscale screen of a display panel according to an embodiment of the invention.
  • FIG. 4 is a schematic diagram of performing Mura region extraction and edge detection on a DeMura table according to an embodiment of the invention
  • FIG. 5 is a schematic diagram of allocating sub-pixel units in a DeMura table according to an embodiment of the invention.
  • FIG. 6 is a schematic flow chart of a data decompression method of a DeMura table according to another embodiment of the present invention.
  • FIG. 7 is a schematic diagram showing an example of a data decompression method of a DeMura table according to another embodiment of the present invention.
  • FIG. 8 is a schematic flow chart of a Mura compensation method according to still another embodiment of the present invention.
  • the data compression method includes the following steps:
  • Step S210 Acquire image information of the display panel.
  • Step S220 Processing the image information of the display panel by using the DeMura algorithm to obtain an original DeMura table.
  • Step S230 performing region extraction based on the original DeMura table to demarcate the range of the Mura region.
  • Step S240 Perform edge detection based on the extracted Mura region to obtain boundary information of the Mura region.
  • Step S250 according to the result of region extraction and edge detection, each sub-pixel included in the display panel The unit is assigned to determine the value of each sample point in the DeMura table.
  • step S210 the sub-pixel unit included in the display panel is first divided into four partitions. Then obtain the image information of each partition separately. Then, the image information of the entire display panel is acquired based on the image information of each partition, and the image information of the four partitions is combined into one complete information.
  • the panel screen is divided into four screens of A/B/C/D for partition shooting, as shown in FIG. 3, each two rows and two columns are intersected (2*2 matrix).
  • the four sub-pixel units are divided into one block, and the four sub-pixel units in the block belong to four different partitions, and are named from the sub-pixel unit in the upper left corner.
  • each sub-pixel unit belongs to the partition A. , partition B, partition C, and partition D.
  • the display panel is divided into a plurality of blocks, and the gray scale information of the four sub-pixel units in each block is obtained in four different photographing processes, respectively.
  • the partitioning of the display panel is because, in general, if the resolution of the camera's CCD is close to the resolution of the actual panel, the brightness of the pixel A will be affected by the surrounding pixels BCD, resulting in the pixel point A.
  • the brightness is not accurate. Therefore, in the embodiment of the present invention, the picture is split into four pictures of A/B/C/D for shooting, which can reduce the interference of surrounding pixels, so that more CCDs correspond to one pixel point, and more accurate. Pixel brightness acquisition.
  • step S220 the image information is processed using the existing DeMura algorithm.
  • the gray scale coefficient of the Mura region the gray scale coefficient is set to be equal to the gray scale coefficient of the normal display area to improve the uniformity of the display.
  • the extraction process of the Mura region further includes calculating an average value of the data in the table based on the original DeMura table. Comparing each data in the original DeMura table with the calculated average value, and determining the child corresponding to the compared data when the absolute value of the difference between the compared data and the average value is greater than a preset threshold.
  • the pixel unit is included in the Mura region, and when the absolute value of the difference between the compared data and the average value is less than or equal to a preset threshold, it is determined that the sub-pixel unit corresponding to the compared data is not included in the Mura region.
  • the preset threshold may be determined according to the display effect of the display panel.
  • calculating gray scale data of all sub-pixel units in the compensation plane of the original DeMura table The average value x_avg, when the threshold threshold is set, is judged to be the Mura region when
  • step S240 based on the Mura region extraction, the data in the original DeMura table is binarized, and edge detection is performed based on the binarized DeMura table to obtain edge information of the Mura region.
  • edge detection method in the prior art can be implemented.
  • each sub-pixel unit marked by the letter is an edge point obtained by edge detection.
  • step S250 the process of allocating each sub-pixel unit included in the display panel further includes: examining each sub-pixel unit point one by one,
  • determining a sub-pixel unit of a selected partition from the block to which the sub-pixel unit belongs is used as a sampling point of the block, and the selected partition is The corresponding data of the sub-pixel unit in the original DeMura table is taken as the value of the sampling point of the block.
  • the sub-pixel unit is used as a sampling point of the block to which the sub-pixel unit belongs, and the corresponding data in the original DeMura table of the sub-pixel unit is used as the value of the sampling point of the block.
  • Fig. 5 the area circled by the dotted line is the Mura area.
  • point 1 is a sub-pixel unit that is not included in the Mura region, and point 1 is located in the lower left corner within the block to which it belongs, that is, point 1 belongs to partition C, in an embodiment of the present invention, Partition A is selected as the default partition. Therefore, for point 1, the point in the block that belongs to partition A is used as the sampling point of the block, that is, in the block where point 1 is located, including point 1.
  • the other three points (three sub-pixel units) are omitted and are not stored.
  • Point 2 is a sub-pixel unit completely contained in the Mura region, and point 2 is located in the lower right corner within the block to which it belongs, that is, point 2 belongs to partition D. Similarly, for point 2, the point in the block that belongs to partition A is taken as the sampling point of the block, that is, in the block where point 2 is located, the other three points including point 2 (three children) The pixel unit is omitted and not stored.
  • Point 3 is a sub-pixel unit located on the boundary of the Mura region, and the sub-pixel unit is used as a sampling point of the block to which it belongs, that is, three points (three sub-pixel units) other than the point 3 are omitted, and no storage.
  • the display panel is divided into blocks in the embodiment of the present invention, it is possible that multiple boundary points in the edge detection are simultaneously included in the same block, and further needs to be further according to the boundary point.
  • the specific location within the Mura area is assigned. Specifically, the coordinate information of each boundary point is obtained according to the result of the edge detection, and based on the coordinate information of each boundary point, which part of the Mura area is located, and different allocation strategies are formulated for different parts of the Mura area to perform sampling points. distribution.
  • the boundary coordinates of the up, down, left, and right directions in each boundary point are determined.
  • the abscissa of all boundary points Pij is compared, the minimum value MinPi of the abscissa is determined as the leftmost coordinate point of the Mura region, denoted as Lij, and the maximum value MaxPi of the abscissa is determined as the rightmost coordinate point of the Mura region, denoted as Rij .
  • the ordinates of all the boundary points Pij are compared, and the minimum value MinPj of the ordinate is determined as the uppermost coordinate point of the Mura region, denoted as Tij, and the maximum value MaxPj of the ordinate is determined as the lowest coordinate point of the Mura region, denoted as Bij.
  • Li ⁇ Pi ⁇ Ti and Tj ⁇ Pj ⁇ Lj it is determined that it is on the upper left side of the Mura region
  • Ti ⁇ Pi ⁇ Ri and Tj ⁇ Pj ⁇ Rj it is determined to be on the upper right side of the Mura region
  • Li ⁇ Pi ⁇ Bi and Lj ⁇ Pj ⁇ Bj it is determined that it is in the lower left side of the Mura region
  • Bi ⁇ Pi ⁇ Ri and Rj ⁇ Pj ⁇ Bj it is determined to be on the lower right side of the Mura region.
  • sampling points are allocated according to the preset allocation strategy of each part of the Mura region.
  • the default allocation strategy is as follows:
  • the lower side of the Mura area D ⁇ C ⁇ B ⁇ A;
  • the left side of the Mura area A ⁇ C ⁇ B ⁇ D;
  • the right side of the Mura area B ⁇ D ⁇ A ⁇ C;
  • the upper left side of the Mura area A ⁇ C ⁇ B ⁇ D;
  • the upper right side of the Mura area B ⁇ D ⁇ A ⁇ C;
  • the lower left side of the Mura area C ⁇ A ⁇ D ⁇ B;
  • the lower right side of the Mura area D ⁇ B ⁇ C ⁇ A;
  • the direction of the arrow indicates a preference.
  • the partition to which the sampling point of each block represented by the two-digit binary number belongs ie, 00, 01, 10 or 11
  • the values are stored together as a new DeMura table. For example, if the binary bit representing the partition is added to the end of the gray scale data (8-bit binary) of each sample point as an index, the capacity of the flash for storing the original DeMura table is reduced from at least 4*8 bit*Blocks to 10 bits*Blocks. .
  • the data compression method of the embodiment of the present invention can compress the size of the original DeMura table from 4 x 8 bits x Blocks to 10 bits x Blocks, and obtain a considerable compression ratio, which significantly reduces the amount of data, thereby saving storage cost and being simple in operation. .
  • the decompression method includes:
  • Step S610 Acquire a value of sampling points of nine adjacent blocks including a block in which the sub-pixel unit to be interpolated is located.
  • Step S620 If the sub-pixel unit to be interpolated is completely included in the Mura region or is the boundary of the Mura region, the points in the Mura region that are excluded from the sampling points of the nine adjacent blocks are removed, if the sub-interpolated sub-segment The pixel unit is not included in the Mura region, and the points of the sampling points of the nine adjacent blocks that are completely contained in the Mura region or at the boundary of the Mura region are excluded.
  • Step S630 Calculate a distance between a sampling point of each adjacent block and the sub-pixel unit to be interpolated.
  • Step S640 calculating weights corresponding to the respective sampling points according to the obtained values of the respective distances.
  • Step S650 determining the value of the data corresponding to the sub-pixel unit to be interpolated in the DeMura table according to the value and the weight of each sampling point.
  • pre-interpolation of the P1 point in the figure select a total of nine blocks in eight directions, such as the block where P1 is located, in the upper and lower directions of the block where P1 is located, these nine
  • the sampling points in the block are R1 (partition A), R2 (partition D), R3 (partition A), R4 (partition B), R5 (block where P1 is located, partition A), R6 (partition A), R7 (partition A), R8 (partition A), R9 (partition D).
  • P1 Judging from the point P1, P1 is a sub-pixel unit completely contained in the Mura region, and therefore, according to step S620, points not included in the Mura region are eliminated, that is, R1 (partition A) and R7 (partition A) are eliminated.
  • D i is the distance between the sampling point of each adjacent block and the sub-pixel unit to be interpolated
  • n is the number of sampling points of the adjacent block
  • i is the sampling point for indicating each adjacent block Natural number.
  • V i is a value of a sampling point of each adjacent block
  • ⁇ i is a weight corresponding to a sampling point of each adjacent block
  • n is a number of sampling points of the adjacent block
  • i is used to represent each adjacent area The natural number of the sample points of the block.
  • V P V R2 * ⁇ R2 +V R3 * ⁇ R3 +V R4 * ⁇ R4 +V R5 * ⁇ R5 +V R6 * ⁇ R6 +V R8 * ⁇ R8 +V R9 * ⁇ R9
  • the method of the embodiment of the invention can perform a decompression operation on the compressed DeMura table, and the decompressed data is closer to the original data, the error is small, the operation is simple, and the execution speed is fast.
  • a Mura compensation method is proposed, such as As shown in Figure 8, the following steps are included:
  • Step S810 Perform data compression on the original DeMura table by using the data compression method of the DeMura table in the above embodiment, and store the compressed DeMura table in the flash.
  • Step S820 reading the compressed DeMura table from the flash, and decompressing the compressed DeMura table by using the data decompression method of the DeMura table in the above embodiment to obtain the Mura compensation of all the sub-pixel units including the liquid crystal panel. value.
  • step S830 the Mura of the liquid crystal panel is compensated by the Mura compensation value.
  • the Mura compensation method of the embodiment of the invention can combine the advantages of the data compression method and the decompression method, can effectively reduce the capacity of the storage device, reduce the cost, and can quickly and accurately re-acquire the Mura compensation data, which can effectively compensate the Mura. defect.
  • the process of data compression on the original DeMura table is typically done by a personal computer or processor, including Mura extraction, Mura edge detection, sample point allocation, and generation of new DeMura tables.
  • the newly generated DeMura table is stored in a storage device (for example, flash), and then the compressed DeMura table is restored by the hardware system using an inverse distance weighted interpolation algorithm to obtain a whole compensation map, which is stored in DDR3, and according to The compensation map obtained by the restoration performs the DeMura process.

Abstract

一种DeMura表的数据压缩、解压缩方法及Mura补偿方法,该数据压缩方法包括获取液晶显示面板的图像信息(S210);利用DeMura算法对所述图像信息进行处理,得到原始的DeMura表(S220);基于原始的DeMura表进行区域提取以划定Mura区域的范围(S230);基于提取得到的Mura区域进行边缘侦测以获取Mura区域的边界信息(S240);根据区域提取与边缘侦测的结果对液晶显示面板所包含的各子像素单元进行分配,确定DeMura表中各采样点的数值(S250)。该方法能够节约DeMura表的存储成本。

Description

DeMura表的数据压缩、解压缩方法及Mura补偿方法
相关申请的交叉引用
本申请要求享有2016年08月31日提交的名称为“DeMura表的数据压缩、解压缩方法及Mura补偿方法”的中国专利申请CN201610796108.5的优先权,该申请的全部内容通过引用并入本文中。
技术领域
本发明属于液晶显示领域,尤其涉及一种DeMura表的数据压缩、解压缩方法及Mura补偿方法。
背景技术
Mura是指显示器面内亮度不均匀,造成各种痕迹的现象。DeMura实际上是一个对Mura进行补偿的过程。从相机拍摄面板画面的亮度,获取面内Mura信息,然后经过一些算法对Mura进行提取、修正,最终得到一张补偿表(DeMura Table)供硬件(例如处理器)插值调用。一般,Mura信息的获取由相机完成,利用个人计算机对这些信息进行处理得到补偿表,最后将补偿表烧录在存储设备中(例如Flash)。上述过程如图1所示。
然后,在现有技术中,由于DeMura的过程较复杂,所以补偿表的大小往往较大。相对于液晶显示器的成本具有很大的影响。可以说,补偿表决定着Flash的容量的大小,因此,怎样对补偿表的大小进行有效压缩以节省生产中Flash带来的成本成为一个亟待解决的问题。
发明内容
本发明所要解决的技术问题之一是需要提供一种对DeMura过程中的补偿表的大小进行有效压缩以节省成本的方法。
为了解决上述技术问题,本申请的实施例首先提供了一种DeMura表的数据压缩方法,包括:获取显示面板的图像信息;利用DeMura算法对所述图像信息进行处理,得到原始的DeMura表;基于所述原始的DeMura表进行区域提取以划定Mura区域的范围;基于提取得到的Mura区域进行边缘侦测以获取Mura 区域的边界信息;根据区域提取与边缘侦测的结果对显示面板所包含的各子像素单元进行分配,确定DeMura表中各采样点的数值。
优选地,所述获取显示面板的图像信息,包括:将显示面板所包含的子像素单元划分为四个分区;分别获取每个分区的图像信息;基于所述每个分区的图像信息获取整个显示面板的图像信息。
优选地,将每两行、两列相交得到的四个子像素单元划分为一个区块,且区块内的四个子像素单元分属于四个不同的分区。
优选地,所述基于所述原始的DeMura表进行区域提取以划定Mura区域的范围,包括:基于所述原始的DeMura表计算表中数据的平均值;将所述原始的DeMura表中的每个数据与所述平均值进行比较,当被比较的数据与所述平均值的差值的绝对值大于预设的阈值时,确定与该被比较的数据对应的子像素单元包含在Mura区域内;当被比较的数据与所述平均值的差值的绝对值小于等于预设的阈值时,确定与该被比较的数据对应的子像素单元不包含在Mura区域内。
优选地,所述根据区域提取与边缘侦测的结果对显示面板所包含的各子像素单元进行分配,确定DeMura表中各采样点的数值,包括:若子像素单元不包含在Mura区域内或完全包含在Mura区域内,则从该子像素单元所属区块内确定一选定分区的子像素单元作为该区块的采样点,以该选定分区的子像素单元在原始的DeMura表中对应的数据作为该区块的采样点的数值;若子像素单元为Mura区域的边界,则以该子像素单元作为其所属区块的采样点,以该子像素单元在原始的DeMura表中对应的数据作为该区块的采样点的数值。
优选地,在确定得到DeMura表中各采样点的数值之后,还包括将以两位二进制数表示的各区块的采样点所属的分区与该采样点的数值一起存储为新的DeMura表。
本申请的实施例还提供了一种DeMura表的数据解压缩方法,包括:获取包含待插值的子像素单元所在的区块在内的九个邻近区块的采样点的数值;若该待插值的子像素单元完全包含在Mura区域内或为Mura区域的边界,则剔除所述九个邻近区块的采样点中不包含在Mura区域内的点;若该待插值的子像素单元不包含在Mura区域内,则剔除所述九个邻近区块的采样点中完全包含在Mura区域内或为Mura区域的边界的点;计算各邻近区块的采样点与该待插值的子像素单元之间的距离;根据得到的各距离的值计算对应于各采样点的权重;根据各采样点的数值与权重确定待插值的子像素单元在DeMura表中所对应的数据的 值。
优选地,根据如下表达式计算对应于各采样点的权重λi
Figure PCTCN2017070218-appb-000001
其中,Di为各邻近区块的采样点与该待插值的子像素单元之间的距离,n为邻近区块的采样点的个数,i为用于表示各邻近区块的采样点的自然数。
优选地,根据如下表达式确定待插值的子像素单元在DeMura表中所对应的数据的值VP
Figure PCTCN2017070218-appb-000002
其中,Vi为各邻近区块的采样点的数值,λi为对应于各邻近区块的采样点的权重,n为邻近区块的采样点的个数,i为用于表示各邻近区块的采样点的自然数。
另一方面,还提供了一种Mura补偿方法,包括:利用上述DeMura表的数据压缩方法对原始的DeMura表进行数据压缩,并将压缩后的DeMura表存储在flash中;从flash中读取所述压缩后的DeMura表,并利用上述DeMura表的数据解压缩方法对所述压缩后的DeMura表进行解压缩以获取包含液晶面板的全部子像素单元的Mura补偿值;利用所述Mura补偿值对液晶面板的Mura进行补偿。
与现有技术相比,上述方案中的一个或多个实施例可以具有如下优点或有益效果:
通过设置区块,并对采样点进行分配实现原始的DeMura表的数据压缩,再通过反距离加权插值的方法及采样点的位置信息对数据进行解压缩,有效地节约了DeMura表的存储成本,数据在压缩和解压缩的过程中损失小,操作简单,易于实施。
本发明的其他优点、目标,和特征在某种程度上将在随后的说明书中进行阐述,并且在某种程度上,基于对下文的考察研究对本领域技术人员而言将是显而易见的,或者可以从本发明的实践中得到教导。本发明的目标和其他优点可以通过下面的说明书,权利要求书,以及附图中所特别指出的结构来实现和获得。
附图说明
附图用来提供对本申请的技术方案或现有技术的进一步理解,并且构成说明书的一部分。其中,表达本申请实施例的附图与本申请的实施例一起用于解释本申请的技术方案,但并不构成对本申请技术方案的限制。
图1为现有技术中实施DeMura对Mura进行补偿的示意图;
图2为根据本发明一实施例的DeMura表的数据压缩方法的流程示意图;
图3为根据本发明一实施例的对显示面板进行灰阶画面的拍摄的示意图;
图4为根据本发明一实施例的对DeMura表进行Mura区域提取及边缘侦测的示意图;
图5为根据本发明一实施例的对DeMura表中的各子像素单元进行分配的示意图;
图6为根据本发明另一实施例的DeMura表的数据解压缩方法的流程示意图;
图7为根据本发明另一实施例的DeMura表的数据解压缩方法示例说明示意图;
图8为根据本发明又一实施例的Mura补偿方法的流程示意图。
具体实施方式
以下将结合附图及实施例来详细说明本发明的实施方式,借此对本发明如何应用技术手段来解决技术问题,并达成相应技术效果的实现过程能充分理解并据以实施。本申请实施例以及实施例中的各个特征,在不相冲突前提下可以相互结合,所形成的技术方案均在本发明的保护范围之内。
图2为根据本发明一实施例的DeMura表的数据压缩方法的流程示意图,该数据压缩方法包括以下步骤:
步骤S210、获取显示面板的图像信息。
步骤S220、利用DeMura算法对显示面板的图像信息进行处理,得到原始的DeMura表。
步骤S230、基于原始的DeMura表进行区域提取以划定Mura区域的范围。
步骤S240、基于提取得到的Mura区域进行边缘侦测以获取Mura区域的边界信息。
步骤S250、根据区域提取与边缘侦测的结果对显示面板所包含的各子像素 单元进行分配,确定DeMura表中各采样点的数值。
具体的,在步骤S210中,首先将显示面板所包含的子像素单元划分为四个分区。再分别获取每个分区的图像信息。然后,基于每个分区的图像信息获取整个显示面板的图像信息,将四个分区的图像信息拼成一个完整的信息。
在获取显示面板的灰阶信息过程中,将面板画面分成A/B/C/D四个画面进行分区拍摄,如图3所示,将每两行、两列相交(2*2矩阵)得到的四个子像素单元划分为一个区块,且区块内的四个子像素单元分属于四个不同的分区,从左上角的子像素单元开始命名,逆时针方向,各子像素单元分别属于分区A、分区B、分区C和分区D。这样,显示面板被划分为多个区块,且每个区块内的四个子像素单元的灰阶信息分别在四个不同的拍摄过程获得。
对显示面板进行分区拍摄是因为,通常情况下,如果相机的CCD的分辨率接近实际面板的分辨率,则在获取像素点A的亮度时会受到其周围像素BCD的影响,导致像素点A的亮度不准确。因此,在本发明的实施例中,将画面拆分成A/B/C/D四张图进行拍摄,可以减少周围像素的干扰,使更多的CCD对应一颗像素点,达到更准确的像素亮度获取。
A/B/C/D四个画面拍摄完成后,接下来在步骤S220中,利用现有的DeMura算法对图像信息进行处理。主要是通过调整Mura区域的灰阶系数,将灰阶系数设定至与正常显示区的灰阶系数一定,来提高显示的均匀性。
通过DeMura算法的处理得到原始的DeMura表,记为DTorigin。如果以8位二进制数表示一个子像素单元的灰阶数值,则原始的DeMura表的大小为DTorigin=4*8bit*Blocks(Blocks是指显示面板所包含的区块数)。也就是说,如果用flash存储原始的DeMura表,其容量不能小于4*8bit*Blocks。
接下来是对原始的DeMura表进行数据压缩的过程,具体的:
在步骤S230中,Mura区域的提取过程进一步包括,基于原始的DeMura表计算表中数据的平均值。将原始的DeMura表中的每个数据与计算得到的平均值进行比较,当被比较的数据与平均值的差值的绝对值大于预设的阈值时,确定与该被比较的数据对应的子像素单元包含在Mura区域内,当被比较的数据与平均值的差值的绝对值小于等于预设的阈值时,确定与该被比较的数据对应的子像素单元不包含在Mura区域内。其中,预设的阈值可以根据显示面板的显示效果进行确定。
举例而言,计算原始的DeMura表的补偿图面内所有子像素单元的灰阶数据 的平均值x_avg,设定阈值threshold,则当|x_ij-x_avg|>threshold,判断为Mura区域,最终提取得到的Mura区域,如图4中位于图像中间部分的暗色区域所示。
在步骤S240中,在Mura区域提取的基础上,将原始的DeMura表中的数据进行二值化,并基于二值化的DeMura表进行边缘侦测,得到Mura区域的边缘信息。实际中,可以采用现有技术中的边缘侦测方法进行实施,举例而言,在本发明的一个实施例中采用canny算法,如DTedge=edge(imIn,’canny’)。
该步骤的执行结果如图4所示,除图中由虚线框圈出的那个区块外,字母标示出的各子像素单元均为边缘侦测得到的边缘点。
在步骤S250中,对显示面板所包含的各子像素单元进行分配的过程进一步包括:逐个考察每一个子像素单元点,
若子像素单元不包含在Mura区域内或完全包含在Mura区域内,则从该子像素单元所属区块内确定一选定分区的子像素单元作为该区块的采样点,以该选定分区的子像素单元在原始的DeMura表中对应的数据作为该区块的采样点的数值。
若子像素单元为Mura区域的边界,则以该子像素单元作为其所属区块的采样点,以该子像素单元在原始的DeMura表中对应的数据作为该区块的采样点的数值。
下面结合图5举例说明,其中,由虚线框圈出来的区域为Mura区域。如图所示,点1为不包含在Mura区域内的子像素单元,且点1在其所属的区块内位于左下角,也就是说点1属于分区C,在本发明的实施例中,选定分区A作为默认的分区,因此,对于点1,以其所在区块中属于分区A处的那个点来作为该区块的采样点,即将点1所在区块内,包含点1在内的其它三个点(三个子像素单元)省略掉,不做存储。
点2为完全包含在Mura区域内的子像素单元,且点2在其所属的区块内位于右下角,也就是说点2属于分区D。同样的,对于点2,以其所在区块中属于分区A处的那个点来作为该区块的采样点,即将点2所在区块内,包含点2在内的其它三个点(三个子像素单元)省略掉,不做存储。
点3为位于Mura区域的边界上的子像素单元,则以该子像素单元作为其所属区块的采样点,即将除点3以外的其它三个点(三个子像素单元)省略掉,不做存储。
需要说明的是,由于在本发明实施例中对显示面板进行了区块划分,因此有可能边缘侦测中的多个边界点同时包含在同一个区块内,这时需要进一步根据边界点在所属Mura区域内的具体位置进行分配。具体为,根据边缘侦测的结果获取各边界点的坐标信息,再基于各边界点的坐标信息,判断其位于Mura区域的哪一部分,针对Mura区域的不同部分制定不同的分配策略对采样点进行分配。
举例而言,首先确定各边界点中的上下左右四个方向的边界坐标。比较所有边界点Pij的横坐标,将横坐标的最小值MinPi确定为Mura区域的最左坐标点,记为Lij,将横坐标的最大值MaxPi确定为Mura区域的最右坐标点,记为Rij。比较所有边界点Pij的纵坐标,将纵坐标的最小值MinPj确定为Mura区域的最上坐标点,记为Tij,将纵坐标的最大值MaxPj确定为Mura区域的最下坐标点,记为Bij。
然后,将各边界点的坐标Pij与Lij、Rij、Tij和Bij进行比较,确定边界点所属的Mura区域的具体的部分。例如,当Pi=Li时,则判断为处于Mura区域的左侧,当Pi=Ri时,则判断为处于Mura区域的右侧,当Pj=Tj时,则判断为处于Mura区域的上侧,当Pj=Bj时,则判断为处于Mura区域的下侧。
进一步地,当Li<Pi<Ti且Tj<Pj<Lj时,则判断为处于Mura区域的左上侧,当Ti<Pi<Ri且Tj<Pj<Rj时,则判断为处于Mura区域的右上侧,当Li<Pi<Bi且Lj<Pj<Bj时,则判断为处于Mura区域的左下侧,当Bi<Pi<Ri且Rj<Pj<Bj时,则判断为处于Mura区域的右下侧。
最后,根据Mura区域各部分的预设的分配策略,对采样点进行分配。例如,预设的分配策略如下:
Mura区域的上侧:A←B←C←D;
Mura区域的下侧:D←C←B←A;
Mura区域的左侧:A←C←B←D;
Mura区域的右侧:B←D←A←C;
Mura区域的左上侧:A←C←B←D;
Mura区域的右上侧:B←D←A←C;
Mura区域的左下侧:C←A←D←B;
Mura区域的右下侧:D←B←C←A;
箭头的方向表示优先选取。经过上述分配,当一个区块中包含两个或两个以上的边界点时,对边界点进行取舍,只存储一个边界点作为所属区块的采样点。
还需要说明的是,上述分配策略仅用于说明对子像素单元进行分配的优选实施方式,并不构成对本发明的限定。
只对保留的作为区块的采样点的值按照对应于该点的子像素单元在原始的DeMura表中的数据进行存储。容易理解的是,经过分配后的DeMura表的大小压缩为原始的DeMura表的四分之一。
进一步地,在确定得到DeMura表中各采样点的数值(二进制)之后,将以两位二进制数表示的各区块的采样点所属的分区(即00、01、10或11)与该采样点的数值一起存储为新的DeMura表。例如将表示分区的二进制位添加至各采样点的灰阶数据(8位二进制)的末尾作为索引,则用于存储原始的DeMura表的flash的容量由至少4*8bit*Blocks降至10bits*Blocks。
本发明实施例的数据压缩方法,能够使原始的DeMura表的大小从4 x 8bits x Blocks压缩至10bits x Blocks,得到可观的压缩率,显著地降低了数据量,进而节约存储成本,且操作简单。
压缩后的DeMura表在使用时,需要对其中的数据进行还原,针对这个问题,在本发明的另一实施例中,提出了一种通过插值的方法进行数据解压缩的方法,如图6所示,该解压缩方法包括:
步骤S610、获取包含待插值的子像素单元所在的区块在内的九个邻近区块的采样点的数值。
步骤S620、若该待插值的子像素单元完全包含在Mura区域内或为Mura区域的边界,则剔除九个邻近区块的采样点中不包含在Mura区域内的点,若该待插值的子像素单元不包含在Mura区域内,则剔除九个邻近区块的采样点中完全包含在Mura区域内或为Mura区域的边界的点。
步骤S630、计算各邻近区块的采样点与该待插值的子像素单元之间的距离。
步骤S640、根据得到的各距离的值计算对应于各采样点的权重。
步骤S650、根据各采样点的数值与权重确定待插值的子像素单元在DeMura表中所对应的数据的值。
下面结合图7进行说明。
如图7所示,预对图中的P1点进行插值,则选取包含P1所在的区块在内,位于P1所在的区块上下左右等八个方向上的共九个区块,这九个区块内的采样点分别为R1(分区A)、R2(分区D)、R3(分区A)、R4(分区B)、R5(P1点所在区块,分区A)、R6(分区A)、R7(分区A)、R8(分区A)、 R9(分区D)。
对P1点进行判断,P1为完全包含在Mura区域内的子像素单元,因此根据步骤S620,剔除不包含在Mura区域内的点,即剔除R1(分区A)和R7(分区A)。
计算保留下来的各邻近的采样点与P1点之间的距离,分别记为DR2,DR3,DR4,DR5,DR6,DR8,DR9
然后,根据表达式(1)计算对应于各采样点的权重λi
Figure PCTCN2017070218-appb-000003
式中,Di为各邻近区块的采样点与该待插值的子像素单元之间的距离,n为邻近区块的采样点的个数,i为用于表示各邻近区块的采样点的自然数。
根据表达式(2)确定待插值的子像素单元在DeMura表中所对应的数据的值VP
Figure PCTCN2017070218-appb-000004
其中,Vi为各邻近区块的采样点的数值,λi为对应于各邻近区块的采样点的权重,n为邻近区块的采样点的个数,i为用于表示各邻近区块的采样点的自然数。
在本示例中,
VP=VR2R2+VR3R3+VR4R4+VR5R5+VR6R6+VR8R8+VR9R9
本发明实施例的方法,能够针对压缩后的DeMura表进行解压缩操作,解压缩得到的数据较接近原始数据,误差小,操作简单,执行速度快。
将上述实施例中的DeMura表的数据压缩和解压缩方法结合使用,便能够针对液晶显示设备的Mura缺陷进行补偿,具体的,在本发明的另一个实施例中,提出一种Mura补偿方法,如图8所示,包括以下步骤:
步骤S810、利用上述实施例中的DeMura表的数据压缩方法对原始的DeMura表进行数据压缩,并将压缩后的DeMura表存储在flash中。
步骤S820、从flash中读取压缩后的DeMura表,并利用上述实施例中的DeMura表的数据解压缩方法对压缩后的DeMura表进行解压缩以获取包含液晶面板的全部子像素单元的Mura补偿值。
步骤S830、利用Mura补偿值对液晶面板的Mura进行补偿。
上述各步骤的操作过程可以从前述实施例中获取,不再赘述。
本发明实施例的Mura补偿方法,能够结合数据压缩方法和解压缩方法的优点,既能够有效地降低存储设备的容量,降低成本,又能够快速、准确地重新获取Mura补偿数据,可以有效地补偿Mura缺陷。
实际中,对原始的DeMura表进行数据压缩的过程一般由个人计算机或处理器完成,包括Mura提取、Mura边缘侦测、采样点分配以及新的DeMura表的生成等。将新生成的DeMura表存储在存储设备中(例如flash),然后,由硬件系统利用反距离加权插值算法对压缩后的DeMura表进行还原,得到整张补偿图,并存储于DDR3中,以及根据还原得到的补偿图执行DeMura过程。
虽然本发明所揭露的实施方式如上,但所述的内容只是为了便于理解本发明而采用的实施方式,并非用以限定本发明。任何本发明所属技术领域内的技术人员,在不脱离本发明所揭露的精神和范围的前提下,可以在实施的形式上及细节上作任何的修改与变化,但本发明的专利保护范围,仍须以所附的权利要求书所界定的范围为准。

Claims (10)

  1. 一种DeMura表的数据压缩方法,包括:
    获取显示面板的图像信息;
    利用DeMura算法对所述图像信息进行处理,得到原始的DeMura表;
    基于所述原始的DeMura表进行区域提取以划定Mura区域的范围;
    基于提取得到的Mura区域进行边缘侦测以获取Mura区域的边界信息;
    根据区域提取与边缘侦测的结果对显示面板所包含的各子像素单元进行分配,确定DeMura表中各采样点的数值。
  2. 根据权利要求1所述的数据压缩方法,其中,所述获取显示面板的图像信息,包括:
    将显示面板所包含的子像素单元划分为四个分区;
    分别获取每个分区的图像信息;
    基于所述每个分区的图像信息获取整个显示面板的图像信息。
  3. 根据权利要求2所述的数据压缩方法,其中,将每两行、两列相交得到的四个子像素单元划分为一个区块,且区块内的四个子像素单元分属于四个不同的分区。
  4. 根据权利要求3所述的数据压缩方法,其中,所述基于所述原始的DeMura表进行区域提取以划定Mura区域的范围,包括:
    基于所述原始的DeMura表计算表中数据的平均值;
    将所述原始的DeMura表中的每个数据与所述平均值进行比较,
    当被比较的数据与所述平均值的差值的绝对值大于预设的阈值时,确定与该被比较的数据对应的子像素单元包含在Mura区域内;
    当被比较的数据与所述平均值的差值的绝对值小于等于预设的阈值时,确定与该被比较的数据对应的子像素单元不包含在Mura区域内。
  5. 根据权利要求4所述的数据压缩方法,其中,所述根据区域提取与边缘侦测的结果对显示面板所包含的各子像素单元进行分配,确定DeMura表中各采样点的数值,包括:
    若子像素单元不包含在Mura区域内或完全包含在Mura区域内,则从该子像素单元所属区块内确定一选定分区的子像素单元作为该区块的采样点,以该选定分区的子像素单元在原始的DeMura表中对应的数据作为该区块的采样点的数值;
    若子像素单元为Mura区域的边界,则以该子像素单元作为其所属区块的采样点,以该子像素单元在原始的DeMura表中对应的数据作为该区块的采样点的数值。
  6. 根据权利要求5所述的数据压缩方法,其中,在确定得到DeMura表中各采样点的数值之后,还包括将以两位二进制数表示的各区块的采样点所属的分区与该采样点的数值一起存储为新的DeMura表。
  7. 一种DeMura表的数据解压缩方法,包括:
    获取包含待插值的子像素单元所在的区块在内的九个邻近区块的采样点的数值;
    若该待插值的子像素单元完全包含在Mura区域内或为Mura区域的边界,则剔除所述九个邻近区块的采样点中不包含在Mura区域内的点;若该待插值的子像素单元不包含在Mura区域内,则剔除所述九个邻近区块的采样点中完全包含在Mura区域内或为Mura区域的边界的点;
    计算各邻近区块的采样点与该待插值的子像素单元之间的距离;
    根据得到的各距离的值计算对应于各采样点的权重;
    根据各采样点的数值与权重确定待插值的子像素单元在DeMura表中所对应的数据的值。
  8. 根据权利要求7所述的数据解压缩方法,其中,根据如下表达式计算对应于各采样点的权重λi
    Figure PCTCN2017070218-appb-100001
    其中,Di为各邻近区块的采样点与该待插值的子像素单元之间的距离,n为邻近区块的采样点的个数,i为用于表示各邻近区块的采样点的自然数。
  9. 根据权利要求7所述的数据解压缩方法,其中,根据如下表达式确定待插值的子像素单元在DeMura表中所对应的数据的值VP
    Figure PCTCN2017070218-appb-100002
    其中,Vi为各邻近区块的采样点的数值,λi为对应于各邻近区块的采样点的权重,n为邻近区块的采样点的个数,i为用于表示各邻近区块的采样点的自然数。
  10. 一种Mura补偿方法,包括:
    利用DeMura表的数据压缩方法对原始的DeMura表进行数据压缩,并将压缩后的DeMura表存储在flash中;所述DeMura表的数据压缩方法包括:
    获取显示面板的图像信息;
    利用DeMura算法对所述图像信息进行处理,得到原始的DeMura表;
    基于所述原始的DeMura表进行区域提取以划定Mura区域的范围;
    基于提取得到的Mura区域进行边缘侦测以获取Mura区域的边界信息;
    根据区域提取与边缘侦测的结果对显示面板所包含的各子像素单元进行分配,确定DeMura表中各采样点的数值;
    从flash中读取所述压缩后的DeMura表,并利用DeMura表的数据解压缩方法对所述压缩后的DeMura表进行解压缩以获取包含液晶面板的全部子像素单元的Mura补偿值;所述DeMura表的数据解压缩方法包括:
    获取包含待插值的子像素单元所在的区块在内的九个邻近区块的采样点的数值;
    若该待插值的子像素单元完全包含在Mura区域内或为Mura区域的边界,则剔除所述九个邻近区块的采样点中不包含在Mura区域内的点;若该待插值的子像素单元不包含在Mura区域内,则剔除所述九个邻近区块的采样点中完全包含在Mura区域内或为Mura区域的边界的点;
    计算各邻近区块的采样点与该待插值的子像素单元之间的距离;
    根据得到的各距离的值计算对应于各采样点的权重;
    根据各采样点的数值与权重确定待插值的子像素单元在DeMura表中所对应的数据的值;
    利用所述Mura补偿值对液晶面板的Mura进行补偿。
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