WO2022057495A1 - 灰阶数据确定方法、装置、设备及屏幕驱动板 - Google Patents

灰阶数据确定方法、装置、设备及屏幕驱动板 Download PDF

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Publication number
WO2022057495A1
WO2022057495A1 PCT/CN2021/110837 CN2021110837W WO2022057495A1 WO 2022057495 A1 WO2022057495 A1 WO 2022057495A1 CN 2021110837 W CN2021110837 W CN 2021110837W WO 2022057495 A1 WO2022057495 A1 WO 2022057495A1
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Prior art keywords
panel
pixel
grayscale
pixels
value
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PCT/CN2021/110837
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English (en)
French (fr)
Inventor
张硕
习艳会
史天阔
张小牤
姬治华
孙炎
赵晨曦
彭项君
侯一凡
楚明磊
Original Assignee
京东方科技集团股份有限公司
北京京东方光电科技有限公司
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Priority to DE112021003225.9T priority Critical patent/DE112021003225T5/de
Priority to US17/795,088 priority patent/US20230088891A1/en
Publication of WO2022057495A1 publication Critical patent/WO2022057495A1/zh

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    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/20—Control 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
    • G09G3/2007—Display of intermediate tones
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/20—Control 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
    • G—PHYSICS
    • G02—OPTICS
    • G02F—OPTICAL DEVICES OR ARRANGEMENTS FOR THE CONTROL OF LIGHT BY MODIFICATION OF THE OPTICAL PROPERTIES OF THE MEDIA OF THE ELEMENTS INVOLVED THEREIN; NON-LINEAR OPTICS; FREQUENCY-CHANGING OF LIGHT; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
    • G02F1/00—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics
    • G02F1/01—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour 
    • G02F1/13—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour  based on liquid crystals, e.g. single liquid crystal display cells
    • G02F1/133—Constructional arrangements; Operation of liquid crystal cells; Circuit arrangements
    • G02F1/1333—Constructional arrangements; Manufacturing methods
    • G02F1/1347—Arrangement of liquid crystal layers or cells in which the final condition of one light beam is achieved by the addition of the effects of two or more layers or cells
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/20—Control 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
    • G09G3/2092—Details of a display terminals using a flat panel, the details relating to the control arrangement of the display terminal and to the interfaces thereto
    • G09G3/2096—Details of the interface to the display terminal specific for a flat panel
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/20—Control 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
    • G09G3/34—Control 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
    • G09G3/36—Control 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
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/20—Control 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
    • G09G3/34—Control 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
    • G09G3/36—Control 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
    • G09G3/3611—Control of matrices with row and column drivers
    • G09G3/3648—Control of matrices with row and column drivers using an active matrix
    • G—PHYSICS
    • G02—OPTICS
    • G02F—OPTICAL DEVICES OR ARRANGEMENTS FOR THE CONTROL OF LIGHT BY MODIFICATION OF THE OPTICAL PROPERTIES OF THE MEDIA OF THE ELEMENTS INVOLVED THEREIN; NON-LINEAR OPTICS; FREQUENCY-CHANGING OF LIGHT; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
    • G02F2201/00—Constructional arrangements not provided for in groups G02F1/00 - G02F7/00
    • G02F2201/58—Arrangements comprising a monitoring photodetector
    • G—PHYSICS
    • G02—OPTICS
    • G02F—OPTICAL DEVICES OR ARRANGEMENTS FOR THE CONTROL OF LIGHT BY MODIFICATION OF THE OPTICAL PROPERTIES OF THE MEDIA OF THE ELEMENTS INVOLVED THEREIN; NON-LINEAR OPTICS; FREQUENCY-CHANGING OF LIGHT; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
    • G02F2203/00—Function characteristic
    • G02F2203/30—Gray scale
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2300/00—Aspects of the constitution of display devices
    • G09G2300/02—Composition of display devices
    • G09G2300/023—Display panel composed of stacked panels
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2330/00—Aspects of power supply; Aspects of display protection and defect management
    • G09G2330/02—Details of power systems and of start or stop of display operation
    • G09G2330/021—Power management, e.g. power saving
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2360/00—Aspects of the architecture of display systems
    • G09G2360/16—Calculation or use of calculated indices related to luminance levels in display data

Definitions

  • the present disclosure relates to the field of display technology, and in particular, to a grayscale data determination method, apparatus, device, and screen driver board.
  • Stacked screen refers to a solution where two upper and lower panels are overlapped for display.
  • the upper panel is a color screen, focusing on precise color control and faithfully restoring colors
  • the lower panel is a black and white screen, focusing on fine dimming, showing high contrast and dark field details. .
  • Embodiments of the present disclosure provide a grayscale data determination method, device, device, and screen driver board, which can improve the display effect when overlapping screens are misaligned.
  • the technical solution is as follows:
  • a method for determining grayscale data is provided, which is applied to a stacked screen display device, wherein the stacked screen display device includes an overlapping first panel and a second panel, the first panel includes main pixels, the second panel The panel includes auxiliary pixels, and the orthographic projection of the first edge of the first panel on the display surface of the second panel is located outside the display surface of the second panel, and the method includes:
  • the source image includes a plurality of pixels
  • the first pixel point is the source image and the first pixel point.
  • a pixel point corresponding to an edge, the second pixel point is a pixel point adjacent to the first pixel point in the source image;
  • the grayscale data of the first panel includes grayscale values of the main pixels, and the second panel
  • the grayscale data includes grayscale values of the sub-pixels.
  • the separately calculating the weighted value of each channel value of the first pixel and the channel value of the corresponding color of the second pixel includes:
  • the weight of the first pixel point and the weight of the second pixel point are determined based on the dislocation size of the overlapping screen.
  • the larger the weight of the larger the weight; wherein, the dislocation size of the stacked screen refers to the number of rows of the main pixels whose orthographic projection is located outside the display surface of the second panel, and the arrangement direction of each row of the main pixels is parallel to the the first edge of the first panel;
  • a weighted value of each channel value of the first pixel point and the channel value of the corresponding color of the second pixel point is calculated.
  • the row number of the second pixel is the same as the row number of the third pixel
  • the weights used for calculating the pixel values of the third pixel points in different rows are different.
  • the method further includes:
  • the size of the stacked screen dislocation of the first panel and the second panel is determined.
  • determining the grayscale data of the second panel includes:
  • the first grayscale data is shifted to obtain the second grayscale data of the second panel.
  • the dislocation size of the stacked screen refers to the number of rows of the main pixels whose orthographic projection is located outside the display surface of the second panel;
  • a weighted value of the gray-scale values of the auxiliary pixel and several surrounding auxiliary pixels is calculated to obtain third gray-scale data of the second panel.
  • the first grayscale data is shifted based on the dislocation size of the stacked screens to obtain the second grayscale data of the second panel, including:
  • the first grayscale data is shifted in a direction toward the first edge, and the magnitude of the shift is equal to an integer part of the size of the overlapped screen dislocation.
  • the translating the first gray-scale data along the direction toward the first edge includes:
  • the at least one row of data bits vacated at the end is filled with the last at least one row of data of the first grayscale data.
  • the resolutions of the first panel and the second panel are the same, and the weighted value of the grayscale values of the auxiliary pixel and the surrounding auxiliary pixels is calculated based on the second grayscale data to obtain:
  • the third grayscale data of the second panel includes:
  • the grayscale corresponding to the auxiliary pixel Calculate the weighted value of the grayscale mean value corresponding to the auxiliary pixel and the maximum grayscale value corresponding to the auxiliary pixel in the grayscale data to be calculated, to obtain third grayscale data; wherein, the grayscale corresponding to the auxiliary pixel
  • the mean value is the gray-scale mean value of the plurality of first sub-pixels in the first range of the sub-pixels
  • the maximum gray-scale value corresponding to the sub-pixels is the average value of the plurality of second sub-pixels in the second range of the sub-pixels.
  • the maximum grayscale value, the first range and the second range are the same or different, and at least one of the first sub-pixels and the second sub-pixels overlap or none of the first sub-pixels The second sub-pixels are coincident.
  • the third grayscale data of the second panel includes:
  • the grayscale corresponding to the auxiliary pixel Calculate the weighted value of the grayscale mean value corresponding to the auxiliary pixel and the maximum grayscale value corresponding to the auxiliary pixel in the grayscale data to be calculated, to obtain third grayscale data; wherein, the grayscale corresponding to the auxiliary pixel
  • the mean value is the gray-scale mean value of the plurality of first sub-pixels in the first range of the sub-pixels
  • the maximum gray-scale value corresponding to the sub-pixels is the average value of the plurality of second sub-pixels in the second range of the sub-pixels.
  • the maximum grayscale value, the first range and the second range are the same or different, and at least one of the first sub-pixels and the second sub-pixels overlap or none of the first sub-pixels The second sub-pixels are coincident.
  • calculating the weighted value of the grayscale mean value corresponding to the auxiliary pixel and the maximum grayscale value corresponding to the auxiliary pixel in the to-be-calculated grayscale data including:
  • the second filter is used to filter the auxiliary pixels in the second range of the auxiliary pixels, and the maximum grayscale value of the plurality of second auxiliary pixels is selected and determined;
  • a weighted value of the gray-scale mean value of the plurality of first sub-pixels and the maximum gray-scale value of the plurality of second sub-pixels is calculated.
  • the sizes of the first filter and the second filter are both 3 ⁇ 3.
  • determining the grayscale data of the second panel based on the first image further comprising:
  • the grayscale value of the fourth grayscale data is not less than the corresponding grayscale value in the third grayscale data; if the If the resolutions of the first panel and the second panel are different, when the grayscale value exceeds a threshold, the grayscale value of the fourth grayscale data is not less than the corresponding grayscale in the third grayscale data value.
  • the grayscale values of the third grayscale data are divided into a plurality of consecutive first ranges, and the grayscale values of the fourth grayscale data are divided into continuous and a plurality of second ranges one-to-one corresponding to the plurality of first ranges;
  • Using a grayscale mapping table to map the third grayscale data to fourth grayscale data including:
  • Linear interpolation is performed according to the determined endpoints of the second range to determine the grayscale value in the fourth grayscale data corresponding to the grayscale value in the third grayscale data.
  • the resolution of the first panel is 4K or 8K, and the resolution of the second panel is 4K;
  • the resolutions of the first panels are different, and the corresponding grayscale mapping tables are different.
  • determining the grayscale data of the second panel based on the first image further comprising:
  • the fourth gray-scale data is compensated based on the gray-scale values of the auxiliary pixels on both sides of the abnormal auxiliary pixel to obtain compensated fourth gray-scale data.
  • the detecting whether there are abnormal auxiliary pixels in the second panel based on the fourth grayscale data includes:
  • auxiliary pixel to be detected based on the grayscale values of the auxiliary pixel to be detected and the adjacent auxiliary pixels, it is determined whether there is a single-pixel dark line, a double-pixel dark line, or a three-pixel dark line at the auxiliary pixel to be detected.
  • determining the grayscale data of the first panel includes:
  • grayscale data of the first panel is determined.
  • an apparatus for determining grayscale data which is applied to a stacked-screen display device, the stacked-screen display device includes a first panel and a second panel that overlap, the first panel includes main pixels, the second panel The panel includes auxiliary pixels, and the orthographic projection of the first edge of the first panel on the display surface of the second panel is located outside the display surface of the second panel, and the device includes:
  • an acquisition module configured to acquire a source image, the source image includes a plurality of pixel points;
  • the calculation module is configured to calculate the weighted value of each channel value of the first pixel point and the channel value of the corresponding color of the second pixel point respectively to obtain the pixel value of the third pixel point, the first pixel point being the source a pixel point corresponding to the first edge in the image, and the second pixel point is a pixel point adjacent to the first pixel point in the source image;
  • a replacement module configured to replace the pixel value of the second pixel in the source image with the pixel value of the third pixel to obtain a first image
  • a processing module configured to determine grayscale data of the first panel and grayscale data of the second panel based on the first image, where the grayscale data of the first panel includes grayscale values of the main pixels , the grayscale data of the second panel includes the grayscale values of the auxiliary pixels.
  • a computer device comprising a processor and a memory
  • the memory is used to store computer programs
  • the processor is configured to execute the computer program stored in the memory, so as to implement any one of the gray-scale data determination methods described above.
  • a computer-readable storage medium where computer instructions are stored in the computer-readable storage medium, and when the stored computer instructions are executed by a processor, any one of the foregoing grayscale data determination methods can be implemented .
  • a screen driver board is provided, and the screen driver board includes:
  • a timing controller configured to determine the grayscale data of the first panel and the grayscale data of the second panel based on the source image according to the method described in any one of the preceding items; and generate the timing sequence of the first panel a control signal and a timing control signal of the second panel;
  • a voltage conversion circuit configured to generate a reference voltage signal and a row drive signal based on the power supply
  • a grayscale voltage generation circuit connected to the voltage conversion circuit, is configured to generate the grayscale required for each grayscale of the main pixel of the first panel and the sub-pixel of the second panel based on the reference voltage signal step voltage;
  • the timing control signal and the row driving signal of the first panel are provided to the row driving circuit of the first panel
  • the timing control signal and the row driving signal of the second panel are provided to the The row driving circuit of the second panel
  • the grayscale data of the first panel, the timing control signal of the first panel and the grayscale voltage required by each grayscale of the main pixel of the first panel are provided to the The column driving circuit of the first panel
  • the grayscale data of the second panel, the timing control signal of the second panel, and the grayscale voltage required by each grayscale of the auxiliary pixels of the second panel are provided to the Column driver circuit of the second panel.
  • the pixels near the first edge can display the weighted weighted value, so that when the pixels on the first edge are not displayed, the content displayed on the edge near the first edge can include both the pixels corresponding to the first edge and Adjacent pixels, that is, pixels corresponding to the first edge, are compressed into adjacent rows of pixels for display.
  • the grayscale data of the upper and lower panels is determined based on the replaced image, so as to drive the upper and lower panels to emit light for display.
  • This solution is not limited by the resolution of the upper and lower panels, and is suitable for stacked screens of various resolutions.
  • FIG. 1 is a schematic structural diagram of a stacked-screen display device provided by an embodiment of the present disclosure
  • FIG. 2 is a flowchart of a method for determining grayscale data provided by an embodiment of the present disclosure
  • FIG. 3 is a schematic diagram of execution timing of a method for determining grayscale data provided by an embodiment of the present disclosure
  • FIG. 4 is a flowchart of a method for determining grayscale data provided by an embodiment of the present disclosure
  • 5 and 6 are schematic diagrams of stacked screen dislocation detection provided by an embodiment of the present disclosure.
  • FIG. 7 is a schematic diagram of a dislocation provided by an embodiment of the present disclosure.
  • FIGS. 8 to 10 are schematic diagrams of abnormal auxiliary pixel detection provided by embodiments of the present disclosure.
  • FIG. 11 is a schematic diagram of filtering provided by an embodiment of the present disclosure.
  • FIG. 12 is a block diagram of an apparatus for determining grayscale data provided by an embodiment of the present disclosure.
  • FIG. 13 is a block diagram of a computer device according to an embodiment of the present disclosure.
  • FIG. 14 is a schematic structural diagram of a screen driving board provided by an embodiment of the present disclosure.
  • An embodiment of the present disclosure provides a grayscale data determination method, which is applied to a stacked-screen display device.
  • the structure of the stacked-screen display device is briefly described below.
  • FIG. 1 is a schematic structural diagram of a stacked-screen display device provided by an embodiment of the present disclosure.
  • the stacked-screen display device includes a first panel 10 and a second panel 20 that are overlapped, the first panel 10 includes main pixels 11 , the second panel 20 includes auxiliary pixels 21 , and the first panel 10 includes main pixels 11 .
  • the orthographic projection of the first edge 12 of the second panel 20 on the display surface of the second panel 20 is located outside the display surface of the second panel 20 .
  • the display surface of the second panel 20 is the light-emitting surface of the second panel, that is, the side of the second panel facing the first panel.
  • the first panel 10 is an upper panel, or a main panel, and the upper panel is a color panel, focusing on precise color control and faithfully restoring colors.
  • the second panel 20 is a lower panel, or a sub panel, and the lower panel is a black-and-white panel, focusing on fine dimming, presenting high contrast and dark field details.
  • the upper panel may include an array substrate, a liquid crystal layer and a color filter layer
  • the lower panel may include an array substrate and a liquid crystal layer.
  • the resolutions of the first panel 10 and the second panel 20 may be the same.
  • the resolutions of the first panel 10 and the second panel 20 are both 4K, that is, 3840 ⁇ 2160.
  • the resolutions of the first panel 10 and the second panel 20 may also be different.
  • the resolution of the first panel 10 is 8K (7680 ⁇ 4320), and the resolution of the second panel 20 is 4K.
  • FIG. 2 is a flowchart of a method for determining gray-scale data provided by an embodiment of the present disclosure. Referring to Figure 2, the method includes:
  • step 101 a source image is acquired.
  • the source image includes a plurality of pixels, and generally the number of pixels of the source image is equal to the number of main pixels in the first panel.
  • Each pixel has multiple channels, for example, each pixel has red (R), green (G), and blue (B) channels, corresponding to three sub-pixels of one main pixel in the display panel.
  • the method provided by the embodiments of the present disclosure can be executed by the controller of the stacked screen display device.
  • the method can be designed as a module with an intellectual property (Intellectual Property, IP) algorithm to form a digital IP core, which is integrated in the controller.
  • FIG. 3 is a schematic diagram of the execution timing of the grayscale data determination method provided by the embodiment of the present disclosure.
  • the method may be executed after the stacked screen display device performs dynamic dimming (Local Dimming) and before removing spots (Demura).
  • different IP cores can be used for stacking screen misalignment compensation, dynamic dimming and speckle elimination, and stacking screen display devices can perform other image processing in addition to the above processing, which is not limited in this disclosure. .
  • the controller of the stacked screen display device acquires the source images output by other devices (eg, computers) to the stacked screen display device.
  • step 102 the weighted value of each channel value of the first pixel point and the channel value of the corresponding color of the second pixel point is calculated respectively to obtain the pixel value of the third pixel point.
  • the pixel value of each pixel includes the channel value of each channel, and the channel value of each channel, that is, the grayscale value of the channel, is used to control the grayscale of the corresponding sub-pixel in the panel.
  • the pixel value of each pixel is used to control the gray level of a pixel in the panel.
  • the first pixel is a pixel in the source image corresponding to the first edge
  • the second pixel is a pixel adjacent to the first pixel in the source image.
  • the first edge is the left or right edge of the first panel, which corresponds to at least 1 column of pixels in the source image, that is, the pixels displayed on at least 1 column of pixels in the edge of the first panel, which is at least 1
  • Each pixel point in the column of pixel points is the first pixel point
  • the pixel point in the column adjacent to the at least one column of pixel points is the second pixel point.
  • the adjacent columns here can be 1 or more columns.
  • the first edge is the upper or lower edge of the first panel, it corresponds to at least 1 row of pixels in the source image, that is, the pixels displayed on at least 1 row of pixels in the edge of the first panel, and this at least 1
  • the pixel points of the row adjacent to the pixel point are the second pixel points.
  • weighted calculation may be performed on the first pixel point and the second pixel point located in the same column.
  • step 103 the pixel value of the second pixel in the source image is replaced with the pixel value of the third pixel to obtain a first image.
  • Steps 102 and 103 solve the problem that the main pixels on the edge in the first panel cannot be displayed by weighting and replacing the pixel values of the pixel points.
  • step 104 based on the first image, the grayscale data of the first panel and the grayscale data of the second panel are determined.
  • the grayscale data of the first panel includes the grayscale value of the main pixel
  • the grayscale data of the second panel includes the grayscale value of the auxiliary pixel
  • the pixels near the first edge can display the weighted weighted value, so that when the pixels on the first edge cannot be displayed normally, the content displayed on the edge near the first edge can include the pixels corresponding to the first edge at the same time and adjacent pixels, that is, the pixels corresponding to the first edge are compressed into adjacent rows of pixels for display in the stacked screen display device.
  • a row refers to a row or a column.
  • the grayscale data of the upper and lower panels is determined based on the replaced image, thereby driving the upper and lower panels to emit light for display.
  • This solution is not limited by the resolution of the upper and lower panels, and is suitable for stacked screens of various resolutions.
  • FIG. 4 is a flowchart of a method for determining gray-scale data provided by an embodiment of the present disclosure. Referring to Figure 4, the method includes:
  • step 201 a source image is acquired.
  • the source image includes a plurality of pixels, and generally the number of pixels of the source image is equal to the number of main pixels in the first panel.
  • Each pixel has multiple channels, for example, each pixel has red (R), green (G), and blue (B) channels, corresponding to three sub-pixels of one main pixel in the display panel.
  • the methods provided by the embodiments of the present disclosure may be executed by a controller of an overlay display device.
  • the controller of the stacked screen display device obtains the source image output by other devices, such as a computer, to the stacked screen display device.
  • each channel of each pixel in the source image may be represented by multiple bits, such as 10 bits or 8 bits, and the number of bits per channel may be used to represent the precision of the source image.
  • the source image can be called 10bit or 8bit.
  • Different bits represent different levels of displayed colors. 8bit represents 256 grayscales, 10bit represents 1024 grayscales, the more grayscales, the finer the color and the more uniform and natural color transition. Through the color mixing of RGB three primary colors, 8bit can achieve 16.7M colors, while 10bit can achieve 1.07 billion colors.
  • the method provided by the embodiments of the present disclosure may further include: when the number of bits of the source image is less than n bits, adding bits at the end of each channel to make it reach n bits. This makes the method compatible with the processing of n-bit and less than n-bit source images.
  • padding is performed at the end of each channel to make it up to 10 bits. For example, if the source image is 8bit, then add two bits at the end of each channel to get a 10bit image.
  • the source image when the source image is acquired, the number of bits of the channel of the pixel in the source image is detected first, and then the mode corresponding to the number of bits of the source image is output.
  • the source image usually has two modes:
  • Mode_In 0: The source image is 10bit, and there is no need to process the number of bits of the source image at this time;
  • Mode_In 1: The source image is 8 bits. In this case, the last two digits of each channel need to be added. When adding two bits, you can first detect the size of 8 bits of each channel, and determine the value of two bits according to the range of 8 bits of each channel in the table below, as shown in Table 1 below:
  • d1, d2, and d3 can be evenly distributed in 0 to 255, and supplemented in the above manner can make the supplemented 10-bit data include the maximum value of 1023 and the minimum value of 0, and some values between 0 and 1023.
  • the richness of the data is equivalent to the case where the source image is 10 bits, which ensures the final processing effect.
  • step 202 the weighted values of each channel value of the first pixel point and the channel value of the corresponding color of the second pixel point are calculated respectively to obtain the pixel value of the third pixel point.
  • the first pixel is a pixel in the source image corresponding to the first edge
  • the second pixel is a pixel adjacent to the first pixel in the source image.
  • the first edge is the left or right edge of the first panel, which corresponds to at least 1 column of pixels in the source image, that is, the pixels displayed on at least 1 column of pixels in the edge of the first panel, which is at least 1
  • Each pixel point in the column of pixel points is the first pixel point
  • the pixel point in the column adjacent to the at least one column of pixel points is the second pixel point.
  • the adjacent columns here can be 1 or more columns.
  • the first edge is the upper or lower edge of the first panel, it corresponds to at least 1 row of pixels in the source image, that is, the pixels displayed on at least 1 row of pixels in the edge of the first panel, and this at least 1
  • the pixel points of the row adjacent to the pixel point are the second pixel points.
  • weighted calculation may be performed on the first pixel point and the second pixel point located in the same column.
  • step 202 may include:
  • the weight of the first pixel point and the weight of the second pixel point are determined based on the dislocation size of the overlapping screen.
  • the larger the weight of the larger the weight; wherein, the dislocation size of the stacked screen refers to the number of rows of the main pixels whose orthographic projection is located outside the display surface of the second panel, and the arrangement direction of each row of the main pixels is parallel to the the first edge of the first panel;
  • a weighted value of each channel value of the first pixel point and the channel value of the corresponding color of the second pixel point is calculated.
  • the row number of the second pixel is the same as the row number of the third pixel
  • the weights used for calculating the pixel values of the third pixel points in different rows are different.
  • the pixels in 2-3 rows or columns adjacent to the first pixel can be replaced with weighted pixel values.
  • different rows or columns can be weighted with different weights to avoid the same picture in two rows or columns.
  • the number of rows is the number of rows or columns.
  • the number of rows here is the number of rows.
  • the number of rows here is the number of columns.
  • the number of rows of the second pixel points and the number of rows of the third pixel points may also be different, for example, the number of rows of the second pixel points is greater than the number of rows of the third pixel points.
  • the third pixel point of all rows is used to replace the second pixel point closest to the first edge.
  • the third pixel point having the same row number as the second pixel point is used to replace all the second pixel points.
  • the weighted value of the point get the pixel value of the third pixel point, and then display the third pixel point in the main pixel of the adjacent inner 1 row/1 column; when the dislocation is greater than or equal to 1 main pixel, there will be more than or The main pixel on the edge of 1 row/1 column has no corresponding backlight. At this time, the main pixel of 1 row/1 column at the most edge is completely black, and the main pixel of 1 row/1 column of the secondary edge is darkened or has a color shift, which cannot be displayed normally.
  • the weighted value of the second pixel point and the first pixel point displayed in the main pixels of the 2 rows/2 columns adjacent to the inner 2 rows/2 columns can be calculated to obtain the value of the third pixel point. pixel value, and then display the third pixel point in the adjacent inner 2 row/2 column main pixel.
  • src1(1,:,1:3) fr11*src(1,:,1:3)+fr12*src(2,:,1:3)+fr13*src(3,:,1:3);
  • src1(2,:,1:3) fr21*src(1,:,1:3)+fr22*src(2,:,1:3)+fr23*src(3,:,1:3);
  • src1(3,:,1:3) fr31*src(1,:,1:3)+fr32*src(2,:,1:3)+fr33*src(3,:,1:3); --(1)
  • src1 indicates the channel value of the third pixel
  • "1,” indicates the first row
  • “1:3” indicates that the three channels of red, green and blue are in accordance with The formula calculates.
  • src is the channel value in the source image.
  • fr is the first rows, indicating the first few lines, among them, fr11 is the weight of the pixel point in the first row when calculating the weighted value of the first row, fr12 is the weight of the pixel point in the second row when calculating the weighted value of the first row, fr21 is When calculating the weighted value of the second row, the weight of the pixel point in the first row, and so on.
  • fr11, fr12, fr13, fr21, fr22, fr23, fr31, fr32, fr33 are all weights, and the default values when there is no dislocation are 1, 0, 0, 0, 1, 0, 0, 0, 1;
  • each weight is usually a decimal between 0 and 1, which can be represented by an 8-bit decimal, where the first bit is an integer bit, and the subsequent 7 bits are decimal places.
  • the weighted value of the first line may not be calculated, that is, src1(1,:,1:3) need not be calculated; or after calculation, the source image will not be replaced pixel.
  • src1(4320,:,1:3) lr11*src(4320,:,1:3)+lr12*src(4319,:,1:3)+lr13*src(4318,:,1:3);
  • src1(4319,:,1:3) lr21*src(4320,:,1:3)+lr22*src(4319,:,1:3)+lr23*src(4318,:,1:3);
  • src1(4318,:,1:3) lr31*src(4320,:,1:3)+lr32*src(4319,:,1:3)+lr33*src(4318,:,1:3);
  • src1 indicates the channel value of the third pixel
  • "4320” indicates the 4320th line
  • "1:3” indicates that the three channels of red, green and blue are in accordance with The formula calculates.
  • src is the channel value in the source image.
  • lr is the last rows, which means the last few rows.
  • lr11 is the weight of the pixels in the last row when calculating the weighted value of the last row
  • lr12 is the weight of the pixels in the second last row when calculating the weighted value of the last row.
  • lr21 When calculating the weighted value of the second last row, the weight of the last row of pixels, and so on.
  • the first edge is the left edge and the pixel of the first edge is the first column
  • the first three columns of the source image are weighted, as in formula (3):
  • src1(:,1,1:3) fc11*src(:,1,1:3)+fc12*src(:,2,1:3)+fc13*src(:,3,1:3);
  • src1(:,2,1:3) fc21*src(:,1,1:3)+fc22*src(:,2,1:3)+fc23*src(:,3,1:3);
  • src1(:,3,1:3) fc31*src(:,1,1:3)+fc32*src(:,2,1:3)+fc33*src(:,3,1:3); ——(3)
  • src1 indicates the channel value of the third pixel
  • ",1” indicates the first column
  • “1:3” indicates that the three channels of red, green and blue are in accordance with The formula calculates.
  • src is the channel value in the source image.
  • fc is first columns, indicating the first few columns, among which, fc 11 is the weight of the pixel point in the first column when calculating the weighted value of the first column, fc12 is the weight of the pixel point in the second column when calculating the weighted value of the first column, fc21 When calculating the weight value of the second column, the weight of the pixel point in the first column, and so on.
  • src1(:,7680,1:3) lc11*src(:,7680,1:3)+lc12*src(:,7679,1:3)+lc13*src(:,7678,1:3);
  • src1(:,7679,1:3) lc21*src(:,7680,1:3)+lc22*src(:,7679,1:3)+lc23*src(:,7678,1:3);
  • src1(:,7678,1:3) lc31*src(:,7680,1:3)+lc32*src(:,7679,1:3)+lc33*src(:,7678,1:3);
  • src1 indicates the channel value of the third pixel
  • ",7680” indicates the 7680th column
  • "1:3” indicates that the three channels of red, green and blue are in accordance with The formula calculates.
  • src is the channel value in the source image.
  • lc is the last column, which means the last few columns, among them, lc11 is the weight of the pixel point in the last column when calculating the weighted value of the last column, lc12 is the weight of the pixel point in the second column from the bottom when calculating the weighted value of the last column, lc21 When calculating the weighted value of the second column from the bottom, the weight of the pixel point in the last column, and so on.
  • each weight can be determined based on the dislocation size of the stacked screen. Exemplarily, the values of the weights with different dislocation sizes may be saved first, and then the corresponding weights may be selected after the dislocation sizes of the stacked screens are subsequently determined.
  • the dislocation size of the stacked screens can be determined by designing a specific pattern to determine the alignment of the two panels.
  • the method may further include: displaying a first graphic at a first position of the first panel;
  • the size of the stacked screen dislocation of the first panel and the second panel is determined.
  • the 8K4K alignment pattern is shown in Figure 5: the auxiliary pixel display image is a cross line (the first figure) of W (white), as shown on the left side of Figure 5, the position of the bright line (the first position) is: 1080 lines, 1920 columns.
  • the main pixel display image is a horizontal/vertical alignment short line segment (the second figure), as shown on the right side of Figure 5, the horizontal short line is 2158 to 2162 rows, and the vertical short line is 3838 to 3842 columns (the second position). ).
  • the alignment relationship is determined according to the brightness of the short lines displayed by the main pixels. For example, the greater the brightness, the more accurate the alignment. Based on the brightness value, the dislocation size of the stacked screen can be obtained.
  • the 4K4K alignment pattern is shown in Figure 6: the sub-pixel display image is a bright cross line (the first pattern), and the position of the bright line (the first position) is: 1080 rows of RGB are all bright (white), 1920 columns of G bright (green), as shown on the left side of Figure 6.
  • the main pixel displays a single-pixel white line in the horizontal direction of the image (the second figure), and the position is from 1079 rows to 1081 rows (the second position); the vertical direction is a single-color line (the second figure), and the 1919th column (the second position) is B, 1920 columns (second position) are R/G/B in sequence, and 1921 columns (second position) are R.
  • the alignment relationship is determined according to the brightness of these short lines displayed by the main pixel.
  • step 203 the pixel value of the second pixel in the source image is replaced with the pixel value of the third pixel to obtain a first image.
  • Steps 202 and 203 can be called frame processing.
  • frame processing the pixels corresponding to the first edge are compressed into adjacent rows of pixels for display, so as to avoid the loss of the content of the pixels corresponding to the first edge caused by the dislocation of the overlapping screen. question.
  • step 204 the maximum gray level in the three channels of each pixel is extracted from the first image to obtain the first gray level data of the second panel.
  • sub1 is the first grayscale data of the second panel, and sub1 is the maximum grayscale of the three RGB channels.
  • Step 204 may be referred to as luminance extraction.
  • luminance extraction By extracting the maximum value of the three channels, it can be ensured that the backlight of each main pixel is sufficient to support the display brightness of the main pixel.
  • the brightness of each pixel of the actual stacked screen can be finely adjusted through the main pixel.
  • step 205 the first gray-scale data is shifted based on the dislocation size of the stacked screen to obtain second gray-scale data of the second panel.
  • the dislocation size of the stacked screen refers to the number of rows of the main pixels whose orthographic projections are located outside the display surface of the second panel.
  • step 205 may include:
  • the first grayscale data is shifted in a direction toward the first edge, and the magnitude of the shift is equal to an integer part of the size of the overlapped screen dislocation.
  • two registers may be used to record the row misalignment (that is, the misalignment in the column direction) and the column misalignment (that is, the misalignment in the row direction) in the first panel, respectively.
  • FIG. 7 provides a 7, the first panel 10 and the second panel 20 are dislocated in two directions, the dislocation in the column direction is the area A in the figure, and the dislocation in the row direction is the area B in the figure. According to the size of the dislocation, the value of each register can be divided into the following 3 cases, and there are 9 values in combination:
  • Flag_r Column direction misalignment size 0 Misalignment size ⁇ 1 main pixel 1 Upward dislocation ⁇ 1 main pixel 2 Downward misalignment ⁇ 1 main pixel Flag_c Row direction misalignment size 0 Misalignment size ⁇ 1 main pixel 1 Upward dislocation ⁇ 1 main pixel 2 Downward misalignment ⁇ 1 main pixel
  • translating the first grayscale data in a direction toward the first edge includes:
  • the at least one row of data bits vacated at the end is filled with the last at least one row of data of the first grayscale data.
  • a position (blank) is added before the first data in each column of the first grayscale data sub1 of the second panel, and then each data in each column is moved forward by one position.
  • the last position that will be vacated is filled with the last 1 data of each column.
  • the above is just an example of shifting by one bit.
  • the number of bits shifted may be an integer greater than 1.
  • step 206 based on the second grayscale data, a weighted value of the grayscale values of the auxiliary pixel and several surrounding auxiliary pixels is calculated to obtain third grayscale data of the second panel.
  • the number of pixels corresponding to the first panel and the second panel are different. It is assumed that the ratio of the main pixels in the first panel to the sub-pixels in the second panel is D, and D is a positive number.
  • D 1.
  • the number of main pixels is greater than the number of sub-pixels, and each main pixel corresponds to more than one sub-pixel, that is, D>1.
  • D the number of main pixels
  • step 206 may include:
  • Step 2061A Use the second grayscale data as the grayscale data to be calculated.
  • Step 2061A is an optional step.
  • Step 2062A Calculate the weighted value of the grayscale mean value corresponding to the auxiliary pixel and the maximum grayscale value corresponding to the auxiliary pixel in the grayscale data to be calculated, to obtain third grayscale data; wherein the auxiliary pixel corresponds to
  • the gray-scale mean value of the secondary pixel is the gray-scale mean value of a plurality of first sub-pixels in the first range of the sub-pixel
  • the maximum gray-scale value corresponding to the sub-pixel is a plurality of second sub-pixels in the second range of the sub-pixel.
  • the maximum grayscale value of an auxiliary pixel, the first range and the second range are the same or different, and at least one of the first auxiliary pixels and the second auxiliary pixel overlap or any one of the first auxiliary pixels is Does not coincide with the second sub-pixel.
  • the certain range may be within the range of 3 ⁇ 3 auxiliary pixels centered on the auxiliary pixel.
  • the grayscale value can be supplemented at the position where the auxiliary pixel is lacking in the 3 ⁇ 3 range of the auxiliary pixel.
  • the grayscale value of the sub-pixel located in the center of 3 ⁇ 3 is supplemented at the position where the sub-pixel is missing, or 0 is supplemented at the position where the sub-pixel is missing; and then the calculation is performed with the sub-pixel as the center.
  • step 205 After the shift processing in step 205, most of the dislocations have been resolved. For example, if 2.5 main pixels are dislocated, then step 205 is shifted by 2 lines, and only 0.5 main pixels are actually dislocated. The dislocation of these 0.5 main pixels cannot be realized by shifting. Because, at this time, the backlight provided by the sub-pixels corresponding to the main pixels may be weighted by the brightness of the plurality of sub-pixels. Therefore, it can be calculated in the manner of step 2062A.
  • this step can be implemented by using a filter, for example, a first filter is used to filter the auxiliary pixels in the first range of the auxiliary pixels, and the gray-scale mean value of the plurality of first auxiliary pixels is selected and calculated;
  • the filter filters the auxiliary pixels in the second range of the auxiliary pixels, selects and determines the maximum grayscale value of the plurality of second auxiliary pixels; calculates the average grayscale value of the plurality of first auxiliary pixels and the plurality of first auxiliary pixels The weighted value of the maximum grayscale value of the secondary pixel.
  • the sizes of the first filter and the second filter are both 3 ⁇ 3.
  • sub2(i,j) is the gray scale of the sub-pixel in the i-th row and j-th column in the third gray scale data
  • k f and km are the weights, and the bit width is 8 bits (the first integer bit, the following 7 bits) is a decimal place)
  • k f +k m 1
  • k f and km are 0.5 and 0.5 by default, which can be set as needed
  • sub20(i-1:i+1,j-1:j+1) means to be calculated 9 sub-pixels centered at (i, j) in the grayscale data.
  • filter_w is a 3*3 filter template, including 9 configurable parameters (a11, a12, a13; a21, a22, a23; a31, a32, a33), and the bit width of each configurable parameter is 8 bits (the first integer bit , the last 7 are decimal places).
  • each configurable parameter in filter_w can be set accordingly:
  • the value range of x is between 0 and 1, and the value of x is related to the size of the dislocation in the corresponding direction.
  • filter_ww is a 3*3 filter template, including 9 configurable parameters (w11, w12, w13; w21, w22, w23; w31, w32, w33), and the bit width of each configurable parameter is 1 bit.
  • each configurable parameter in filter_ww can be set accordingly:
  • the configurable parameter corresponding to the sub-pixel to be selected can be directly set to 1.
  • the sub-pixels corresponding to the positions where the configurable parameter in the filtering template is 0 do not actually participate in the calculation of the average value or the maximum value.
  • the values of the two filtering templates can be different, and when calculating the average value and the maximum value, the actual sub-pixels are also different.
  • the first range and the second range are the same, and the first sub-pixel and the second sub-pixel completely coincide.
  • step 206 may include:
  • Step 2061B Calculate the weighted value of the gray-scale mean value and the maximum value of the plurality of primary pixels affected by the auxiliary pixel, and obtain the gray-scale data to be calculated.
  • the calculation method of the gray-scale data sub20 to be calculated is as formula (7):
  • sub20(i,j) is the grayscale of the auxiliary pixel in the i-th row and jth column of the gray-scale data to be calculated
  • K L1 is the weight value, which can be set as needed
  • floor is the round-down function
  • max(block ) is the grayscale maximum value in the multiple main pixels corresponding to the auxiliary pixels in the i-th row and the j-th column, and block represents the multiple main pixels corresponding to the auxiliary pixels
  • mean(block) is the corresponding sub-pixel in the i-th row and the j-th column.
  • Grayscale mean of multiple primary pixels.
  • the gray scale of the main pixel can be determined based on the source image according to the conventional gray scale distribution ratio of the stacked screen display device.
  • the aforementioned block includes 4 main pixels.
  • Step 2062B Calculate the weighted value of the grayscale mean value corresponding to the auxiliary pixel and the maximum grayscale value corresponding to the auxiliary pixel in the grayscale data to be calculated, to obtain third grayscale data; wherein the auxiliary pixel corresponds to
  • the gray-scale mean value of the secondary pixel is the gray-scale mean value of a plurality of first sub-pixels in the first range of the sub-pixel
  • the maximum gray-scale value corresponding to the sub-pixel is a plurality of second sub-pixels in the second range of the sub-pixel.
  • the maximum grayscale value of an auxiliary pixel, the first range and the second range are the same or different, and at least one of the first auxiliary pixels and the second auxiliary pixel overlap or any one of the first auxiliary pixels is Does not coincide with the second sub-pixel.
  • step 2062B The calculation method of step 2062B is the same as that of step 2062A, except that the input grayscale data to be calculated is different, which will not be repeated here.
  • Steps 205 and 206 can be called preprocessing. Due to the misalignment of the stacked screens, the first panel and the second panel are not accurately aligned at this time.
  • the shift in step 205 can reduce the misalignment and solve the integer part when the misalignment is greater than 1. , so that the dislocation is reduced to less than one main pixel; because the dislocation is usually not an integer, the dislocation problem cannot be completely solved by the shift alone.
  • the remaining dislocation after step 205 can be solved by step 206.
  • the gray scale of the second panel corresponding to one main pixel of the first panel is a weighted value of the gray scales of the sub-pixels acting together on the main pixel, so that the main pixel obtains the backlight from the corresponding sub-pixels.
  • the brightness is basically unchanged compared with when the position is not correct, so that the color shift caused by the misalignment can be avoided.
  • step 207 a grayscale mapping table is obtained.
  • the grayscale mapping table includes a mapping relationship between the third grayscale data and the fourth grayscale data.
  • the grayscale mapping table can include the mapping relationship under various resolutions, so that the method can be compatible with stacked screen display devices with different resolutions, such as 8K4K and 4K4K; it can also only include the resolution corresponding to the current stacked screen The mapping relationship in the case.
  • mapping relationship table that is, first determine the corresponding relationship of some points, as shown in Table 3, which is an example of a mapping relationship table:
  • the distance refers to the distance between the endpoints of two adjacent sub2s, and the distance is generated when the grayscale value range of the third grayscale data is divided when the grayscale mapping table is established.
  • the grayscale mapping table can also not contain this column parameter.
  • the above table is only an example, and other points can also be used as the endpoints in the above table.
  • step 208 the third grayscale data is mapped to the fourth grayscale data by using a grayscale mapping table.
  • the grayscale values of the third grayscale data are divided into a plurality of consecutive first ranges, and the grayscale values of the fourth grayscale data are divided into continuous and a plurality of second ranges corresponding to each first range one-to-one;
  • Step 208 may include: determining a grayscale mapping table based on the resolutions of the first panel and the second panel; determining that the grayscale values in the third grayscale data are specified in the grayscale mapping table determine the second range corresponding to the first range in the grayscale mapping table; perform linear interpolation according to the determined endpoints of the second range to determine the third grayscale
  • the gray-scale values in the data correspond to the gray-scale values in the fourth gray-scale data.
  • the resolution of the first panel is 4K or 8K, and the resolution of the second panel is 4K; the resolutions of the first panels are different, and the corresponding grayscale mapping tables are different, that is, The grayscale mapping table corresponding to the first panel of 4K is different from the grayscale mapping table corresponding to the first panel of 8K, for example, the two cases correspond to a part of Table 3 respectively.
  • the end point of the range where sub2 is located can be determined according to the value of sub2; then, based on the table and the resolution of the stacked screen display panel (corresponding to the value of D), sub3 is determined. and then perform linear interpolation according to the determined endpoint of sub3 to determine the fourth grayscale data.
  • the calculation formula is as formula (8):
  • Steps 207 and 208 may be referred to as curve mapping.
  • the curve mapping is used to enhance the gray scale of the auxiliary pixels and weaken the gray scale of the main pixels, so as to avoid problems such as ghosting and halo caused by too high transmittance of the main pixels.
  • This mapping method will increase the gray level of the second panel and reduce the gray level of the auxiliary pixels in the first panel, so that ghosting and halo will not be caused due to the high gray level of the main pixel in the first panel.
  • the gray scale of the second panel is increased, so that the brightness changes greatly when the gray scale is low, and the contrast ratio can also be improved. In addition, the overall brightness of the stacked screen will not change.
  • step 209 based on the fourth grayscale data, it is detected whether there are abnormal sub-pixels in the second panel, and the abnormal sub-pixels are displayed as bright lines or dark lines.
  • step 209 may include:
  • auxiliary pixel to be detected based on the grayscale values of the auxiliary pixel to be detected and the adjacent auxiliary pixels, it is determined whether there is a single-pixel dark line, a double-pixel dark line, or a three-pixel dark line at the auxiliary pixel to be detected.
  • At least two columns of zeros can be added to the left and right of the fourth gray-scale data, and at least one row of zeros can be added to the top and bottom.
  • the single-pixel bright line detection method is as follows: if any one of the following conditions is satisfied, it is considered that there is a single-pixel bright line at the auxiliary pixel to be detected:
  • the first set of conditions :
  • the bright line gradient detection template is used for detection, and the obtained gradient value (vector_peak.*g_peak) is greater than the threshold T1*g_m, and the auxiliary pixel to be detected is detected.
  • the grayscale difference between the pixel and the sub-pixels spaced therefrom is smaller than the threshold value T2.
  • the auxiliary pixels adjacent to the auxiliary pixel to be detected are considered to be bright spots, that is, there is a single-pixel bright line at the auxiliary pixel to be detected.
  • vector_peak is the gray value of the aforementioned three sub-pixels
  • g_peak is the aforementioned bright line gradient detection template, that is, a 3 ⁇ 1 filter
  • g_peak [-1,2,-1].
  • the second set of conditions The three adjacent auxiliary pixels on the same side in the row direction of the auxiliary pixel to be detected are taken as a whole, and the bright line gradient detection template is used for detection, and the obtained gradient value (vector_peak.*g_peak) is greater than the threshold T1*g_m, and The grayscale difference of two sub-pixels separated from the three sub-pixels is smaller than the threshold value T2. Taking the auxiliary pixel to be detected and its two adjacent auxiliary pixels on the same side as a whole, the edge gradient detection template is used for detection, and the obtained gradient value (vector_edge.*g_edge) is greater than the threshold T1*g_m.
  • vector_edge is the gray value of the aforementioned auxiliary pixel to be detected and its two adjacent auxiliary pixels on the same side
  • g_edge is the aforementioned edge gradient detection template, that is, a 3 ⁇ 1 filter
  • g_edge [-1,2, -1].
  • the third set of conditions take the three auxiliary pixels on the same side in the row direction of the auxiliary pixels to be detected as a whole, and the whole and the auxiliary pixels to be detected are separated by one auxiliary pixel, and the bright line gradient detection template is used for detection, and the obtained gradient value ( vector_peak.*g_peak) is greater than the threshold T1*g_m, and the grayscale difference of two sub-pixels that are separated from the three sub-pixels is smaller than the threshold T2.
  • the three adjacent auxiliary pixels on the same side of the auxiliary pixel to be detected are taken as a whole, and the edge gradient detection template is used for detection, and the obtained gradient value (vector_edge.*g_edge) is greater than the threshold T1*g_m.
  • vector_plane is the gray value of the aforementioned auxiliary pixel to be detected and its two adjacent auxiliary pixels on the same side
  • g_plane is the aforementioned edge gradient detection template, that is, a 3 ⁇ 1 filter
  • g_edge [-1,2, -1].
  • the double-pixel line detection method is as follows: if any one of the following conditions is met, it is considered that there is a double-pixel bright line at the auxiliary pixel to be detected:
  • the first group when the gray value of the auxiliary pixel to be detected center ⁇ Th1;
  • left 1 is the first sub pixel adjacent to the left side of the auxiliary pixel to be detected
  • left 2 is the second sub pixel adjacent to the left side of the auxiliary pixel to be detected
  • right 1 is the adjacent sub pixel to the right of the sub pixel to be detected.
  • the second group the gray value center ⁇ Th1 of the auxiliary pixel to be detected
  • the gray value of the adjacent left 1 and left 4 auxiliary pixels of the auxiliary pixel to be detected ⁇ Th1&left 2, the left 3 auxiliary pixel gray value>Th2); or the adjacent right 1 and right 4 auxiliary pixels of the auxiliary pixel to be detected gray value Value ⁇ Th1 & right 2, right 3 sub-pixel gray value> Th2.
  • This situation indicates that two adjacent sub-pixels separated from the sub-pixel to be detected by one sub-pixel are bright spots, forming a two-pixel bright line, as shown in (b) of FIG. 9 .
  • the three-pixel line detection method is as follows: if any of the following sets of conditions are met, it is considered that there are three-pixel bright lines at the auxiliary pixels to be detected:
  • the first group the gray value center ⁇ Th1 of the auxiliary pixel to be detected
  • the gray value of the left 1, left 2, and left 3 auxiliary pixels adjacent to the auxiliary pixel to be detected > Th2 & the left 4 auxiliary pixel gray value ⁇ Th1; or, the adjacent right 1, right 2, and right 3 auxiliary pixels of the auxiliary pixel to be detected Pixel gray value>Th2 & right 4 sub-pixel gray value ⁇ Th1.
  • This situation indicates that the adjacent three sub-pixels are bright spots, forming three-pixel bright lines, as shown in (c) in FIG. 9 .
  • the second group the gray value center ⁇ Th1 of the auxiliary pixel to be detected
  • the gray value of the left 1 and left 5 auxiliary pixels adjacent to the auxiliary pixel to be detected ⁇ Th1&the left 2, left 3, and left 4 auxiliary pixel gray values>Th2; or, the adjacent right 1 and right 5 auxiliary pixels of the auxiliary pixel to be detected.
  • the single-pixel dark line detection method is as follows:
  • Horizontal single-pixel dark line detection the gray value of the auxiliary pixel to be detected center ⁇ Th1; the gray value of the adjacent upper 1 and lower 1 auxiliary pixels of the auxiliary pixel to be detected>Th2. This situation indicates that the auxiliary pixel to be detected is a dark spot, forming a horizontal single-pixel dark line, as shown in (b) of FIG. 10 .
  • the two-pixel dark line detection method is as follows:
  • the three-pixel dark line detection method is as follows:
  • This situation indicates that the sub-pixel to be detected and its two adjacent sub-pixels are dark spots, forming a three-pixel dark line, as shown in (d) in FIG. 10 .
  • T1 is a fixed multiple, and the value can be 1.2 or 1.5
  • g_m is the grayscale value of the auxiliary pixel to be detected
  • the value of T2 is small, for example, it can be less than or equal to 20
  • the value of Th1 can be greater than or equal to 200
  • Th2 can be less than or equal to 50.
  • bright line detection is required for both 4K4K and 8K4K
  • dark line detection is required for 4K4K
  • dark line detection is not required for 8K4K
  • the bright line can be detected first, and the dark line can be detected after no bright line is detected. If the bright line is detected, the dark line need not be detected again.
  • step 210 if there are abnormal auxiliary pixels on the second panel, the fourth gray-scale data is compensated based on the gray-scale values of the auxiliary pixels on both sides of the abnormal auxiliary pixels to obtain a compensated fourth gray-scale data.
  • Gray-scale data to obtain the gray-scale data of the second panel.
  • y sub32 floor(k 1-1pixel *((left
  • right-center)*(2 10 -center)+2 10 *center)/2 10 ); y sub31 ⁇ Tmp*filter1;——(9 )
  • k 1-1pixel is the dimming coefficient, which can be set as required; left
  • filter1 is a 3 ⁇ 5 filter.
  • the processing method is as formula (10):
  • y sub32 floor(k 1-2pixel *((left2
  • right2-center)*(2 10 -center)+2 10 *center)/2 10 ); y sub31 ⁇ Tmp*filter1;——(10 )
  • k 1-2pixel is the dimming coefficient, which can be set as required; left2
  • the processing method is as formula (11):
  • y sub32 floor(k 1-3pixel *((left3
  • rigt 3-center)*(2 10 -center)+2 10 *center)/2 10 ); y sub31 ⁇ Tmp*filter1;——( 11)
  • k 1-3pixel is the dimming coefficient, which can be set as needed; left3
  • the processing method is as formula (12):
  • k 2-1pixel is the dimming coefficient, which can be set as required.
  • the processing method is as formula (13):
  • k 2-2pixel is the dimming coefficient, which can be set as required.
  • the processing method is as formula (14):
  • k 3-1pixel is the dimming coefficient, which can be set as required.
  • the processing method is as formula (15):
  • k 3-2pixel is the dimming coefficient, which can be set as required.
  • y sub31 ⁇ Tmp*filter1;——(16)
  • k black is the brightening coefficient, which can be set as required.
  • y sub32 floor(( k_black *Max2)
  • the upper 1 and the lower 1 are the gray scales of the upper and lower sub-pixels of the dark point.
  • the grayscale center of the central auxiliary pixel is equal to the maximum value of the region Max, no filtering is performed, and the maximum value of the region is used to assign the value.
  • Steps 209 and 210 can be called dilation blur.
  • the problem of bright line color shift under different grayscale backgrounds is solved; through dark line detection and compensation, combined with filtering, the 4K4K overlay is improved.
  • steps 205 to 210 are all optional steps.
  • the aforementioned third grayscale data, fourth grayscale data, or compensated fourth grayscale data may be used as the first Two-panel grayscale data.
  • the method may further include: outputting grayscale data of the second panel.
  • outputting the grayscale data of the second panel may include:
  • the above situation is illustrated by taking 4K4K as an example. In 8K4K, the above processing can also be performed.
  • the grayscale data output bit width of the second panel needs to be processed separately according to the value of Mode_s corresponding to the second panel:
  • Mode_s 0; "Fake 10bit” output, for example, the lower 2 bits are rounded up (carry when 10 ⁇ 11) to get the upper 8 bits, then shift left by two bits (fill with 2 bits of 0), and finally fill in two bits of 0, you can give 8bit For equipment (truncated according to 0), it can also be used for 10bit equipment.
  • Mode_s 1; true 10bit output, that is, directly outputting the processed grayscale data of the second panel.
  • step 211 based on the gray-scale data of the second panel, determine the gray-scale weighted values of a group of the auxiliary pixels corresponding to the main pixel, and obtain fifth gray-scale data.
  • filter_wd is a 3*3 filter template, each bit is 8 bits, and can be assigned to 9 configurable parameters (b11, b12, b13; b21, b22, b23; b31, b32, b33) according to the actual alignment situation.
  • gray-scale data of the first panel is determined based on the fifth gray-scale data and the first image.
  • the brightness of the first image is jointly determined by the grayscale value of the first panel and the grayscale value of the second panel.
  • Step 212 may include the following steps:
  • ⁇ 0 is 2.2
  • ⁇ 1 is 1, and ⁇ 2 is 2.2; it can be seen from this formula that the brightness of the first image is determined by the grayscale value of the first panel and the grayscale value of the second panel;
  • the grayscale data ymain_out of the first panel is calculated using the following formula (21):
  • ymain_out(R,G,B) floor(ymain*((1/sub1)*2 19 )*src1(R,G,B)/2 17 );———(21)
  • the output bit width can be controlled as follows:
  • Mode_m 0, true 12bit output, that is, the grayscale data ymain_out is directly output;
  • Mode_m 1, "false 12bit (actual effective bit 10bit)"; the lower 2 bits of the output are rounded up to get the upper 10 bits and then shifted to the left by two bits;
  • Mode_m 2, "false 12bit (actual effective bit 8bit)"; the lower 4 bits of the output are rounded to obtain the upper 8 bits and then shifted left by four bits.
  • FIG. 12 is a block diagram of an apparatus for determining gray-scale data according to an embodiment of the present disclosure.
  • the grayscale data determination device is applied to a stacked screen display device, the stacked screen display device includes an overlapping first panel and a second panel, the first panel includes main pixels, the second panel includes auxiliary pixels, and the first panel includes auxiliary pixels.
  • the orthographic projection of the first edge of a panel on the display surface of the second panel is located outside the display surface of the second panel.
  • the apparatus includes: an acquisition module 301 , a calculation module 302 , and a replacement module 303 and processing module 304.
  • an acquisition module 301 configured to acquire a source image, where the source image includes a plurality of pixels;
  • the calculation module 302 is configured to calculate the weighted value of each channel value of the first pixel point and the channel value of the corresponding color of the second pixel point, to obtain the pixel value of the third pixel point, and the first pixel point is the a pixel point corresponding to the first edge in the source image, and the second pixel point is a pixel point adjacent to the first pixel point in the source image;
  • the replacement module 303 is configured to replace the pixel value of the second pixel in the source image with the pixel value of the third pixel to obtain the first image;
  • the processing module 304 is configured to, based on the first image, determine the grayscale data of the first panel and the grayscale data of the second panel, where the grayscale data of the first panel includes the grayscale of the main pixel value, the grayscale data of the second panel includes the grayscale value of the auxiliary pixel.
  • the calculation module 302 is configured to determine the weight of the first pixel point and the weight of the second pixel point based on the dislocation size of the overlapping screen, and the larger the dislocation size of the overlapping screen, the first pixel point.
  • a weighted value of each channel value of the first pixel point and the channel value of the corresponding color of the second pixel point is calculated.
  • the row number of the second pixel is the same as the row number of the third pixel
  • the weights used for calculating the pixel values of the third pixel points in different rows are different.
  • the processing module 304 is further configured to display a first graphic at a first position of the first panel; display a second graphic at a second position of the second panel, and display a second graphic at a second position of the first panel and all When the second panel is not misaligned, the first position and the second position are at least partially opposite; based on the brightness of the first graphic, determine the size of the stacked screen misalignment of the first panel and the second panel .
  • the processing module 304 is configured to extract the maximum grayscale of the three channels of pixels from the first image, and obtain the first grayscale data of the second panel;
  • the first grayscale data is shifted to obtain the second grayscale data of the second panel.
  • the processing module 304 is configured to determine that the dislocation size of the stacked screen is greater than or equal to the first edge of one row of main pixels; and to translate the first grayscale data in a direction toward the first edge, The size of the shift is equal to the integer part of the size of the stack screen offset.
  • the processing module 304 is configured to add at least one row of data bits before the first row of data in the first grayscale data; and translate the first grayscale data in a direction toward the first edge , so that the at least one row of data bits is filled, and at least one row of data bits is vacated at the end of the first gray-scale data; the last vacated data bits are filled with the last at least one row of data of the first gray-scale data. describe at least one row of data bits.
  • the processing module 304 is configured to use the second grayscale data as the grayscale data to be calculated if the resolutions of the first panel and the second panel are the same; calculate the grayscale data to be calculated
  • the gray-scale mean value corresponding to the auxiliary pixel in the gray-scale data and the weighted value of the maximum gray-scale value corresponding to the auxiliary pixel are obtained to obtain the third gray-scale data; wherein, the gray-scale mean value corresponding to the auxiliary pixel is the auxiliary pixel.
  • the average grayscale value of a plurality of first auxiliary pixels in the first range, and the maximum grayscale value corresponding to the auxiliary pixel is the maximum grayscale value of a plurality of second auxiliary pixels in the second range of the auxiliary pixel, so
  • the first range and the second range are the same or different, and at least one of the first sub-pixels coincides with the second sub-pixel or none of the first sub-pixels coincides with the second sub-pixel .
  • the processing module 304 is configured to, if the resolutions of the first panel and the second panel are different, calculate the difference between the grayscale mean and the maximum value of the plurality of primary pixels affected by the secondary pixels. a weighted value to obtain gray-scale data to be calculated; calculate the weighted value of the gray-scale mean value corresponding to the auxiliary pixel and the maximum gray-scale value corresponding to the auxiliary pixel in the gray-scale data to be calculated to obtain third gray-scale data;
  • the average grayscale value corresponding to the auxiliary pixel is the average grayscale value of a plurality of first auxiliary pixels within the first range of the auxiliary pixel, and the maximum grayscale value corresponding to the auxiliary pixel is the second auxiliary pixel.
  • the maximum grayscale value of a plurality of second sub-pixels within a range the first range and the second range are the same or different, and at least one of the first sub-pixel and the second sub-pixel coincides or any one None of the first sub-pixels coincides with the second sub-pixels.
  • the processing module 304 is configured to use a first filter to filter the auxiliary pixels within the first range of the auxiliary pixels, select and calculate the gray-scale mean of the plurality of first auxiliary pixels; use the second filter
  • the device filters the auxiliary pixels in the second range of the auxiliary pixels, selects and determines the maximum grayscale value of the plurality of second auxiliary pixels; calculates the average grayscale value of the plurality of first auxiliary pixels and the plurality of The weighted value of the maximum grayscale value of the second sub-pixel.
  • the sizes of the first filter and the second filter are both 3 ⁇ 3.
  • the processing module 304 is further configured to obtain a grayscale mapping table; use the grayscale mapping table to map the third grayscale data to fourth grayscale data; wherein, if the first panel and the If the resolutions of the second panel are the same, the grayscale value of the fourth grayscale data is not less than the corresponding grayscale value in the third grayscale data; if the resolution of the first panel and the second panel is If the ratio is different, when the grayscale value exceeds the threshold, the grayscale value of the fourth grayscale data is not less than the corresponding grayscale value in the third grayscale data.
  • the grayscale values of the third grayscale data are divided into a plurality of consecutive first ranges, and the grayscale values of the fourth grayscale data are divided into continuous and a plurality of second ranges corresponding to the plurality of first ranges one-to-one;
  • the processing module 304 is configured to determine a grayscale mapping table based on the resolutions of the first panel and the second panel; determine the The grayscale value in the third grayscale data is located in the first range in the grayscale mapping table; the second range corresponding to the first range is determined in the grayscale mapping table; according to the determined The endpoints of the second range are linearly interpolated to determine the grayscale values in the fourth grayscale data corresponding to the grayscale values in the third grayscale data.
  • the resolution of the first panel is 4K or 8K, and the resolution of the second panel is 4K; the resolutions of the first panels are different, and the corresponding grayscale mapping tables are different.
  • the processing module 304 is further configured to, based on the fourth grayscale data, detect whether there are abnormal auxiliary pixels in the second panel, and the abnormal auxiliary pixels are displayed as bright lines or dark lines; If there is an abnormal auxiliary pixel on the panel, the fourth gray-scale data is compensated based on the gray-scale values of the auxiliary pixels on both sides of the abnormal auxiliary pixel, and the compensated fourth gray-scale data is obtained.
  • the processing module 304 is configured to determine whether there is a single-pixel bright line or a double-pixel bright line or a three-pixel bright line at the to-be-detected auxiliary pixel based on the grayscale value of the auxiliary pixel to be detected and the adjacent auxiliary pixel. and, based on the grayscale values of the auxiliary pixel to be detected and the adjacent auxiliary pixels, determine whether there is a single-pixel dark line, a double-pixel dark line, or a three-pixel dark line at the auxiliary pixel to be detected.
  • the processing module 304 is configured to, based on the gray-scale data of the second panel, determine the gray-scale weighted values of a group of the auxiliary pixels corresponding to the main pixel, and obtain fifth gray-scale data;
  • the fifth grayscale data and the first image are used to determine the grayscale data of the first panel.
  • the device for determining the grayscale data provided in the above-mentioned embodiment performs the compensation for the dislocation of the stacked screen
  • only the division of the above-mentioned functional modules is used as an example.
  • the function module is completed, that is, the internal structure of the device is divided into different function modules, so as to complete all or part of the functions described above.
  • the gray-scale data determination device provided in the above embodiments and the gray-scale data determination method embodiments belong to the same concept, and the implementation process thereof is detailed in the method embodiments, which will not be repeated here.
  • an embodiment of the present disclosure further provides a computer device 400 , and the computer device 400 may be a stack screen display device, or other computer devices with stack screens.
  • the computer device 400 can be used to execute the gray-scale data determination methods provided in the above-mentioned various embodiments.
  • the computer device 400 includes: a memory 401, a processor 402 and a display component 403.
  • the structure of the computer device 400 shown in FIG. 13 does not constitute a limitation on the computer device 400. Practical applications may include more or fewer components than shown, or combine certain components, or arrange different components. in:
  • the memory 401 may be used to store computer programs and modules, and the memory 401 may mainly include a stored program area and a stored data area, wherein the stored program area may store an operating system, an application program required for at least one function, and the like.
  • Memory 401 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, memory 401 may also include a memory controller to provide processor 402 access to memory 401 .
  • the processor 402 executes various functional applications and data processing by executing software programs and modules stored in the memory 401 .
  • the display assembly 403 is used to display images, and the display assembly 403 may include a display panel.
  • the display panel may be configured in the form of an LCD (Liquid Crystal Display, liquid crystal display), an OLED (Organic Light-Emitting Diode, organic light-emitting diode), etc. .
  • a computer-readable storage medium is also provided, the computer-readable storage medium is a non-volatile storage medium, and a computer program is stored in the computer-readable storage medium, when the computer-readable storage medium is stored When the computer program in the medium is executed by the processor, the grayscale data determination method provided by the embodiments of the present disclosure can be executed.
  • a computer program product stores instructions, which, when executed on a computer, enable the computer to execute the grayscale data determination method provided by the embodiments of the present disclosure.
  • a chip is also provided, the chip includes a programmable logic circuit and/or program instructions, and when the chip is running, the grayscale data determination method provided by the embodiment of the present disclosure can be executed.
  • FIG. 14 is a schematic structural diagram of a screen driving board provided by an embodiment of the present disclosure.
  • the screen driving board may also be called a T-CON board 50 , including: a timing controller (T-CON) 501 , a voltage conversion (DC-DC) circuit 502 and a grayscale voltage generation (Gamma) circuit 503 .
  • T-CON timing controller
  • DC-DC voltage conversion
  • Gamma grayscale voltage generation
  • the timing controller 501 is configured to, based on the source image, determine the grayscale data of the first panel 10 and the grayscale data of the second panel 20 according to the method shown in FIG. 2 or FIG. 4 ; and generate the timing control signal of the first panel 10 and the timing control signal of the second panel 20;
  • a voltage conversion circuit 502 configured to generate a reference voltage signal (VDA) and a row drive signal based on the power supply;
  • the timing control signal of the first panel 10 and the row driving signal are provided to the row driving circuit (or called gate driving circuit) of the first panel 10, that is, the first row driving circuit in the figure 60
  • the timing control signal of the second panel 20 and the row drive signal are provided to the row drive circuit of the second panel 20, namely the second row drive circuit 70 in the figure, the first panel 10
  • the grayscale data, the timing control signal of the first panel 10 and the grayscale voltages required by each grayscale of the main pixel of the first panel 10 are provided to the column driving circuit (or referred to as the first panel 10 ) source driver circuit), that is, the first column driver circuit 80 in the figure, the grayscale data of the second panel 20, the timing control signal of the second panel 20, and the grayscales of the sub-pixels of the second panel 20
  • the gray-scale voltage required by the gray scale is provided to the column driving circuit of the second panel 20 , that is, the second column driving circuit 90 in the figure.
  • the first row driving circuit 60 which is respectively connected to the timing controller 501, the voltage conversion circuit 502 and the first panel 10, is configured to be based on the timing control signal of the first panel 10, and is configured to pass the row driving signal controls the switch of each row of main pixels of the first panel 10;
  • the first column driving circuit 70 is respectively connected to the timing controller 501 , the gray-scale voltage generating circuit 503 and the first panel 10 , and is configured to be based on the gray-scale data and timing control signals of the first panel 10 , writing the gray-scale voltages provided by the gray-scale voltage generating circuit 503 into the main pixels of each column of the first panel;
  • the second row driving circuit 80 which is respectively connected to the timing controller 501, the voltage converting circuit 502 and the second panel 20, is configured to be based on the timing control signal of the second panel 20, and is driven by the row The signal controls the switch of each row of sub-pixels of the second panel 20;
  • the second column driving circuit 90 is connected to the timing controller 501 , the grayscale voltage generating circuit 503 and the second panel 20 respectively, and is configured to be based on the grayscale data and timing control signals of the second panel 20 , The gray-scale voltages provided by the gray-scale voltage generating circuit 503 are written into the sub-pixels in each column of the second panel 20 .
  • the driving control of the first panel 10 and the second panel 20 can be realized at the same time through a screen driving board.
  • the timing control signal includes the shift register shift start pulse signal (STV) of the row drive circuit, the trigger pulse signal (CKV) of the row drive circuit shift register, the shift register shift start pulse signal (STH) of the column drive circuit, the source Polar drive circuit shift register trigger pulse signal (CKH), polarity inversion control signal (POL).
  • the row driving signals include a gate high level signal (VGH) and a gate low level signal (VGL).
  • the voltage conversion circuit 502 is also connected to the timing controller 501 , and the voltage conversion circuit 502 can also generate a power supply voltage signal (VDD) and provide the power supply voltage signal to the timing controller 501 .
  • the power supply voltage signal may also be supplied to the aforementioned first column driver circuit 70 and second column driver circuit 90 .
  • the power input of the voltage conversion circuit 502 is usually a 12V or 5V power supply.

Abstract

一种灰阶数据确定方法、装置、设备及屏幕驱动板，方法包括：获取源图像，源图像包括多个像素点；分别计算第一像素点的各个通道值与第二像素点的对应颜色的通道值的加权值，得到第三像素点的像素值，第一像素点为源图像中与第一边缘（12）对应的像素点，第二像素点为源图像中与第一像素点相邻的像素点；采用第三像素点的像素值替换源图像中的第二像素点的像素值，得到第一图像；基于第一图像，确定第一面板（10）的灰阶数据和第二面板（20）的灰阶数据，第一面板（10）的灰阶数据包括主像素（11）的灰阶值，第二面板（20）的灰阶数据包括辅像素（21）的灰阶值。

Description

灰阶数据确定方法、装置、设备及屏幕驱动板
本公开要求于2020年9月16日提交的申请号为202010976058.5、发明名称为“灰阶数据确定方法、装置、设备及屏幕驱动板”的中国专利申请的优先权，其全部内容通过引用结合在本公开中。
技术领域
本公开涉及显示技术领域，特别涉及一种灰阶数据确定方法、装置、设备及屏幕驱动板。
背景技术
叠屏是指采用上下两块面板重叠进行显示的方案，其中，上层面板为彩色屏，专注色彩精控，忠实还原色彩，下层面板为黑白屏，专注精细调光，呈现高对比度和暗场细节。
发明内容
本公开实施例提供了一种灰阶数据确定方法、装置、设备及屏幕驱动板，能够改善叠屏错位时的显示效果。所述技术方案如下：
一方面，提供了一种灰阶数据确定方法，应用于叠屏显示设备，所述叠屏显示设备包括重叠的第一面板和第二面板，所述第一面板包括主像素，所述第二面板包括辅像素，所述第一面板的第一边缘在所述第二面板的显示面的正投影，位于所述第二面板的显示面之外，所述方法包括：
获取源图像，所述源图像包括多个像素点；
分别计算第一像素点的各个通道值与第二像素点的对应颜色的通道值的加权值，得到第三像素点的像素值，所述第一像素点为所述源图像中与所述第一边缘对应的像素点，所述第二像素点为所述源图像中与所述第一像素点相邻的像素点；
采用所述第三像素点的像素值替换所述源图像中的第二像素点的像素值，得到第一图像；
基于所述第一图像，确定所述第一面板的灰阶数据和第二面板的灰阶数据，所述第一面板的灰阶数据包括所述主像素的灰阶值，所述第二面板的灰阶数据包括所述辅像素的灰阶值。
可选地，所述分别计算第一像素点的各个通道值与第二像素点的对应颜色的通道值的加权值，包括：
基于叠屏错位大小确定所述第一像素点的权重和所述第二像素点的权重，所述叠屏错位大小越大，所述第一像素点的权重越小，所述第二像素点的权重越大；其中，所述叠屏错位大小是指正投影位于所述第二面板的显示面之外的所述主像素的排数，每一排所述主像素的排列方向平行于所述第一面板的第一边缘；
基于所述第一像素点的权重和所述第二像素点的权重，计算所述第一像素点的各个通道值与所述第二像素点的对应颜色的通道值的加权值。
可选地，所述第二像素点的排数和所述第三像素点的排数相同；
当所述第三像素点的排数大于1时，计算不同排的所述第三像素点的像素值所使用的权重不同。
可选地，所述方法还包括：
在所述第一面板的第一位置显示第一图形；
在所述第二面板的第二位置显示第二图形，在所述第一面板和所述第二面板未发生错位时，所述第一位置和所述第二位置至少部分相对；
基于所述第一图形的亮度，确定所述第一面板和所述第二面板的叠屏错位大小。
可选地，基于所述第一图像，确定所述第二面板的灰阶数据，包括：
从所述第一图像中提取像素点的三个通道中的最大灰阶，得到所述第二面板的第一灰阶数据；
基于叠屏错位大小，对所述第一灰阶数据进行移位，得到所述第二面板的第二灰阶数据，所述叠屏错位大小越大，移位的大小越大；其中，所述叠屏错位大小是指正投影位于所述第二面板的显示面之外的所述主像素的排数；
基于所述第二灰阶数据，计算所述辅像素与周围若干辅像素的灰阶值的加权值，得到所述第二面板的第三灰阶数据。
可选地，所述基于叠屏错位大小，对所述第一灰阶数据进行移位，得到所述第二面板的第二灰阶数据，包括：
确定所述叠屏错位大小大于或等于1排主像素的第一边缘；
沿朝向所述第一边缘的方向对所述第一灰阶数据进行平移，移位的大小等于所述叠屏错位大小的整数部分。
可选地，所述沿朝向所述第一边缘的方向对所述第一灰阶数据进行平移，包括：
在所述第一灰阶数据的第一排数据前增加至少一排数据位；
将所述第一灰阶数据沿朝向所述第一边缘的方向平移，使所述至少一排数据位被填充，且所述第一灰阶数据的最后空出至少一排数据位；
采用所述第一灰阶数据的最后至少一排数据填充最后空出的所述至少一排数据位。
可选地，所述第一面板和所述第二面板的分辨率相同，所述基于所述第二灰阶数据，计算所述辅像素与周围若干辅像素的灰阶值的加权值，得到所述第二面板的第三灰阶数据，包括：
采用所述第二灰阶数据作为待计算灰阶数据；
计算所述待计算灰阶数据中所述辅像素对应的灰阶均值和所述辅像素对应的最大灰阶值的加权值，得到第三灰阶数据；其中，所述辅像素对应的灰阶均值是所述辅像素第一范围内的多个第一辅像素的灰阶均值，和所述辅像素对应的最大灰阶值是所述辅像素第二范围内的多个第二辅像素的最大灰阶值，所述第一范围和所述第二范围相同或不同，且至少一个所述第一辅像素与所述第二辅像素重合或者任一个所述第一辅像素均不与所述第二辅像素重合。
可选地，所述第一面板和所述第二面板的分辨率不同，所述基于所述第二灰阶数据，计算所述辅像素与周围若干辅像素的灰阶值的加权值，得到所述第二面板的第三灰阶数据，包括：
计算所述辅像素影响的多个所述主像素的灰阶均值和最大值的加权值，得到待计算灰阶数据；
计算所述待计算灰阶数据中所述辅像素对应的灰阶均值和所述辅像素对应的最大灰阶值的加权值，得到第三灰阶数据；其中，所述辅像素对应的灰阶均值是所述辅像素第一范围内的多个第一辅像素的灰阶均值，和所述辅像素对应的最大灰阶值是所述辅像素第二范围内的多个第二辅像素的最大灰阶值，所述第一范围和所述第二范围相同或不同，且至少一个所述第一辅像素与所述第二辅像素重合或者任一个所述第一辅像素均不与所述第二辅像素重合。
可选地，计算所述待计算灰阶数据中所述辅像素对应的灰阶均值和所述辅像素对应的最大灰阶值的加权值，包括：
采用第一滤波器对所述辅像素第一范围内辅像素进行滤波，选中并计算所述多个第一辅像素的灰阶均值；
采用第二滤波器对所述辅像素第二范围内辅像素进行滤波，选中并确定所述多个第二辅像素的最大灰阶值；
计算所述多个第一辅像素的灰阶均值和所述多个第二辅像素的最大灰阶值的加权值。
可选地，所述第一滤波器和所述第二滤波器的大小均为3×3。
可选地，基于所述第一图像，确定所述第二面板的灰阶数据，还包括：
获取灰阶映射表；
利用灰阶映射表将所述第三灰阶数据映射为第四灰阶数据；
其中，若所述第一面板和所述第二面板的分辨率相同，则所述第四灰阶数据的灰阶值不小于所述第三灰阶数据中的对应灰阶值；若所述第一面板和所述第二面板的分辨率不同，则当所述灰阶值超过阈值时，所述第四灰阶数据的灰阶值不小于所述第三灰阶数据中的对应灰阶值。
可选地，在所述灰阶映射表中，所述第三灰阶数据的灰阶值分为连续的多个第一范围，所述第四灰阶数据的灰阶值分为连续的且与所述多个第一范围一一对应的多个第二范围；
利用灰阶映射表将所述第三灰阶数据映射为第四灰阶数据，包括：
基于所述第一面板和所述第二面板的分辨率，确定灰阶映射表；
确定所述第三灰阶数据中的灰阶值在所述灰阶映射表中所处第一范围；
在所述灰阶映射表中确定所述第一范围对应的所述第二范围；
根据确定出的所述第二范围的端点进行线性插值，确定出所述第三灰阶数据中的灰阶值对应的所述第四灰阶数据中的灰阶值。
可选地，所述第一面板的分辨率为4K或8K，所述第二面板的分辨率为4K；
所述第一面板的分辨率不同，对应的所述灰阶映射表不同。
可选地，基于所述第一图像，确定所述第二面板的灰阶数据，还包括：
基于所述第四灰阶数据，检测所述第二面板是否存在异常辅像素，所述异常辅像素显示呈亮线或暗线；
若所述第二面板存在异常辅像素，则基于所述异常辅像素两侧的辅像素的 灰阶值，对所述第四灰阶数据进行补偿，得到补偿后的第四灰阶数据。
可选地，所述基于所述第四灰阶数据，检测所述第二面板是否存在异常辅像素，包括：
基于待检测辅像素和相邻辅像素的灰阶值，确定所述待检测辅像素处是否存在单像素亮线或者双像素亮线或者三像素亮线；
以及，基于待检测辅像素和相邻辅像素的灰阶值，确定所述待检测辅像素处是否存在单像素暗线或者双像素暗线或者三像素暗线。
可选地，基于所述第一图像，确定所述第一面板的灰阶数据，包括：
基于所述第二面板的灰阶数据，确定所述主像素对应的一组所述辅像素的灰阶加权值，得到第五灰阶数据；
基于所述第五灰阶数据和所述第一图像，确定所述第一面板的灰阶数据。
一方面，提供了一种灰阶数据确定装置，应用于叠屏显示设备，所述叠屏显示设备包括重叠的第一面板和第二面板，所述第一面板包括主像素，所述第二面板包括辅像素，所述第一面板的第一边缘在所述第二面板的显示面的正投影，位于所述第二面板的显示面之外，所述装置包括：
获取模块，被配置为获取源图像，所述源图像包括多个像素点；
计算模块，被配置为分别计算第一像素点的各个通道值与第二像素点的对应颜色的通道值的加权值，得到第三像素点的像素值，所述第一像素点为所述源图像中与所述第一边缘对应的像素点，所述第二像素点为所述源图像中与所述第一像素点相邻的像素点；
替换模块，被配置为采用所述第三像素点的像素值替换所述源图像中的第二像素点的像素值，得到第一图像；
处理模块，被配置为基于所述第一图像，确定所述第一面板的灰阶数据和第二面板的灰阶数据，所述第一面板的灰阶数据包括所述主像素的灰阶值，所述第二面板的灰阶数据包括所述辅像素的灰阶值。
一方面，提供了一种计算机设备，所述计算机设备包括处理器和存储器；
其中，所述存储器，用于存储计算机程序；
所述处理器，用于执行所述存储器中存放的计算机程序，以实现前述任一所述的灰阶数据确定方法。
一方面，提供了一种计算机可读存储介质，所述计算机可读存储介质中存储有计算机指令，存储的所述计算机指令被处理器执行时能够实现前述任一所述的灰阶数据确定方法。
一方面，提供了一种屏幕驱动板，所述屏幕驱动板包括：
时序控制器，被配置为基于源图像，按照前述任一项所述的方法确定所述第一面板的灰阶数据和所述第二面板的灰阶数据；并产生所述第一面板的时序控制信号和所述第二面板的时序控制信号；
电压转换电路，被配置为基于电源产生基准电压信号和行驱动信号；
灰阶电压产生电路，与所述电压转换电路连接，被配置为基于所述基准电压信号，产生所述第一面板的主像素和所述第二面板的辅像素的各个灰阶所需的灰阶电压；
其中，所述第一面板的时序控制信号和所述行驱动信号被提供给所述第一面板的行驱动电路，所述第二面板的时序控制信号和所述行驱动信号被提供给所述第二面板的行驱动电路，所述第一面板的灰阶数据、所述第一面板的时序控制信号和所述第一面板的主像素各个灰阶所需的灰阶电压被提供给所述第一面板的列驱动电路，所述第二面板的灰阶数据、所述第二面板的时序控制信号和所述第二面板的辅像素各个灰阶所需的灰阶电压被提供给所述第二面板的列驱动电路。
本公开实施例提供的技术方案带来的有益效果是：
当叠屏存在错位时，会导致第一边缘无法正常显示。本公开实施例通过将源图像中与第一边缘对应的像素点和相邻的像素点的像素值进行加权，然后将加权值替换相邻的像素点的像素值，这样，可以使得面板在显示时，靠近第一边缘的像素可以显示加权后的加权值，使得在第一边缘的像素不显示的情况下，靠近第一边缘的边缘显示的内容能够同时包括与第一边缘对应的像素点和相邻的像素点，也即与第一边缘对应的像素点被压缩到相邻排像素点中进行显示。这样，避免叠屏错位造成与第一边缘对应的像素点内容丢失的问题。另外，在进行像素点的像素值替换后，基于替换后的图像确定上、下两个面板的灰阶数据，从而驱动上、下面板发光显示。该方案不受上、下面板的分辨率限制，适 用于各种分辨率的叠屏。
附图说明
为了更清楚地说明本公开实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本公开的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是本公开实施例提供的一种叠屏显示设备的结构示意图；
图2是本公开实施例提供的一种灰阶数据确定方法的流程图；
图3是本公开实施例提供的灰阶数据确定方法执行时机的示意图；
图4是本公开实施例提供的一种灰阶数据确定方法的流程图；
图5和图6是本公开实施例提供的叠屏错位检测示意图；
图7是本公开实施例提供的一种错位示意图；
图8至图10是本公开实施例提供的异常辅像素检测示意图；
图11是本公开实施例提供的滤波示意图；
图12为本公开实施例提供的一种灰阶数据确定装置的框图；
图13为本公开实施例提供的一种计算机设备的框图；
图14是本公开实施例提供的一种屏幕驱动板的结构示意图。
具体实施方式
为使本公开的目的、技术方案和优点更加清楚，下面将结合附图对本公开实施方式作进一步地详细描述。
本公开实施例提供了一种灰阶数据确定方法，该方法应用于叠屏显示设备，为了更好地介绍本实施例提供的方法，下面先对叠屏显示设备的结构进行简单说明。
图1是本公开实施例提供的一种叠屏显示设备的结构示意图。参见图1，所述叠屏显示设备包括重叠的第一面板10和第二面板20，所述第一面板10包括主像素11，所述第二面板20包括辅像素21，所述第一面板10的第一边缘12在所述第二面板20的显示面上的正投影，位于所述第二面板20的显示面之外。其中，第二面板20的显示面为第二面板的出光面，也即第二面板朝向第一面板的一面。
第一面板10为上层面板，或称为主(Main)面板，上层面板为彩色面板，专注色彩精控，忠实还原色彩。第二面板20为下层面板，或称为辅(Sub)面板，下层面板为黑白面板，专注精细调光，呈现高对比度和暗场细节。
以液晶显示技术制作的叠屏显示设备为例，上层面板可以包括阵列基板、液晶层和彩膜层，下层面板包括阵列基板和液晶层。
在叠屏显示设备中，第一面板10和第二面板20的分辨率可以相同，例如4K4K叠屏显示设备中，第一面板10和第二面板20的分辨率均为4K，也即3840×2160。第一面板10和第二面板20的分辨率也可以不同，例如8K4K叠屏显示设备中，第一面板10的分辨率为8K(7680×4320)，第二面板20的分辨率为4K。
对于叠屏而言，存在对位精度的问题，当第一面板和第二面板错位时，会导致第一面板边缘的像素没有背光，进而导致无法正常显示。
图2是本公开实施例提供的一种灰阶数据确定方法的流程图。参见图2，该方法包括：
在步骤101中，获取源图像。
其中，所述源图像包括多个像素点，通常源图像的像素点数量等于第一面板中主像素的数量。每个像素点具有多个通道，例如每个像素点具有红(R)、绿(G)、蓝(B)通道，对应显示面板中1个主像素的3个子像素。
本公开实施例提供的方法，可以由叠屏显示设备的控制器执行，例如可以将该方法设计成具有知识产权(Intellectual Property，IP)算法的模块，形成数字IP核，集成在控制器中。图3是本公开实施例提供的灰阶数据确定方法执行时机的示意图，参见图3，该方法可以在叠屏显示设备进行动态调光(Local Dimming)之后、消除斑点(Demura)之前执行。需要说明的是，叠屏错位补偿与动态调光以及消除斑点可以采用不同的IP核实现，且叠屏显示设备除了进行上述处理外，还可以进行其他的图像处理，本公开对此不做限定。
叠屏显示设备的控制器获取其他设备(例如计算机)输出给叠屏显示设备的源图像。
在步骤102中，分别计算第一像素点的各个通道值与第二像素点的对应颜色的通道值的加权值，得到第三像素点的像素值。
其中，每个像素点的像素值包括各个通道的通道值，每个通道的通道值， 也即该通道的灰阶值，用于控制面板中对应子像素的灰阶。每个像素点的像素值用于控制面板中一个像素的灰阶。
其中，所述第一像素点为所述源图像中与所述第一边缘对应的像素点，所述第二像素点为所述源图像中与所述第一像素点相邻的像素点。
当第一面板和第二面板错位时，导致第一面板中边缘的部分主像素无法接收到来自第二面板的光(可以当成为第一面板的背光)，从而导致第一面板中这部分主像素无法显示。
例如，第一边缘为第一面板左侧或右侧边缘，其对应源图像中至少1列像素点，也即在第一面板的边缘内的至少1列像素上显示的像素点，这至少1列像素点中的每个像素点均为第一像素点，与这至少1列像素点相邻列的像素点为第二像素点。这里的相邻列可以是1列或多列。在计算加权值时，可以将位于同一行的第一像素点与第二像素点进行加权计算，分别计算加权后红色通道的值、绿色通道的值和蓝色通道的值，计算出三个通道的加权值，即组成第三像素点的像素值。
如果第一边缘为第一面板上侧或下侧边缘，其对应源图像中至少1行像素点，也即在第一面板的边缘内的至少1行像素上显示的像素点，与这至少1行像素点相邻行的像素点为第二像素点。在计算加权值时，可以将位于同一列的第一像素点与第二像素点进行加权计算。
在步骤103中，采用所述第三像素点的像素值替换所述源图像中的第二像素点的像素值，得到第一图像。
步骤102和步骤103通过加权和替换像素点的像素值来解决第一面板中边缘的主像素无法显示的问题。
在步骤104中，基于所述第一图像，确定所述第一面板的灰阶数据和第二面板的灰阶数据。
其中，所述第一面板的灰阶数据包括所述主像素的灰阶值，所述第二面板的灰阶数据包括所述辅像素的灰阶值。
当叠屏存在错位时，会导致第一边缘无法正常显示。本公开实施例通过将源图像中与第一边缘对应的像素点和相邻的像素点的像素值进行加权，然后将加权值替换相邻的像素点的像素值，这样，可以使得面板在显示时，靠近第一边缘的像素可以显示加权后的加权值，使得在第一边缘的像素不能正常显示的情况下，靠近第一边缘的边缘显示的内容能够同时包括与第一边缘对应的像素 点和相邻的像素点，也即与第一边缘对应的像素点被压缩到相邻排像素点中，以在叠屏显示设备中进行显示。其中，一排指一行或者一列。这样，避免叠屏错位造成与第一边缘对应的像素点内容丢失的问题。另外，在进行像素点的像素值替换后，基于替换后的图像确定上、下两个面板的灰阶数据，从而驱动上、下面板发光显示。该方案不受上、下面板的分辨率限制，适用于各种分辨率的叠屏。
图4是本公开实施例提供的一种灰阶数据确定方法的流程图。参见图4，该方法包括：
在步骤201中，获取源图像。
其中，所述源图像包括多个像素点，通常源图像的像素点数量等于第一面板中主像素的数量。每个像素点具有多个通道，例如每个像素点具有红(R)、绿(G)、蓝(B)通道，对应显示面板中1个主像素的3个子像素。
本公开实施例提供的方法，可以由叠屏显示设备的控制器执行。叠屏显示设备的控制器获取其他设备，例如计算机输出给叠屏显示设备的源图像。
示例性地，源图像中每个像素点的每个通道可以用多个比特(bit)来表示，例如10bit或者8bit，可以采用每个通道的bit位数来表示源图像的精度。例如，可以称源图像为10bit或8bit。不同bit位数，代表了显示色彩的层次不同。8bit表示256灰阶，10bit表示1024灰阶，灰阶级数越多表示颜色越精细，色彩过渡更为均匀自然。通过RGB三原色的混色，8bit能够实现了16.7M色彩，而10bit能够则可以实现10.7亿色彩。
为了兼容各种位数的源图像，本公开实施例提供的方法还可以包括：当源图像位数少于n位时，在每个通道最后补位，使其达到n位。从而使得该方法能够兼容n位以及少于n位的源图像的处理。
例如，当源图像位数少于10位时，在每个通道最后补位，使其达到10位。例如，源图像为8bit，则在每个通道最后补两位，得到10bit的图像。
示例性地，在获取到源图像时，先检测源图像中像素点的通道的位数，然后输出该源图像的位数对应的模式，例如，源图像通常有两种模式：
Mode_In＝0：源图像为10bit，此时无需对源图像的位数进行处理；
Mode_In＝1：源图像为8bit。此时需在每个通道最后补两位。补两位的时，可以先检测每个通道的8bit的大小，根据每个通道的8bit在下表中的范围决定 补充两位的数值，如下表1所示：
表1
8bit灰度值范围 补充2位数值
0～d1 补充00
d1+1～d2 补充01
d2+1～d3 补充10
d3+1～255 补充11
其中，d1、d2、d3可以均匀分布在0～255中，按照上述方式补充可以使得补充后的10bit数据包括最大值1023和最小值0，以及0和1023之间的部分取值。这样，在后续处理过程中，数据的丰富程度与源图像就是10bit的情况相当，保证最终的处理效果。
在步骤202中，分别计算第一像素点的各个通道值与第二像素点的对应颜色的通道值的加权值，得到第三像素点的像素值。
其中，所述第一像素点为所述源图像中与所述第一边缘对应的像素点，所述第二像素点为所述源图像中与所述第一像素点相邻的像素点。
例如，第一边缘为第一面板左侧或右侧边缘，其对应源图像中至少1列像素点，也即在第一面板的边缘内的至少1列像素上显示的像素点，这至少1列像素点中的每个像素点均为第一像素点，与这至少1列像素点相邻列的像素点为第二像素点。这里的相邻列可以是1列或多列。在计算加权值时，可以将位于同一行的第一像素点与第二像素点进行加权计算，分别计算加权后红色通道的值、绿色通道的值和蓝色通道的值，计算出三个通道的加权值，即组成第三像素点的像素值。
如果第一边缘为第一面板上侧或下侧边缘，其对应源图像中至少1行像素点，也即在第一面板的边缘内的至少1行像素上显示的像素点，与这至少1行像素点相邻行的像素点为第二像素点。在计算加权值时，可以将位于同一列的第一像素点与第二像素点进行加权计算。
示例性地，步骤202可以包括：
基于叠屏错位大小确定所述第一像素点的权重和所述第二像素点的权重，所述叠屏错位大小越大，所述第一像素点的权重越小，所述第二像素点的权重 越大；其中，所述叠屏错位大小是指正投影位于所述第二面板的显示面之外的所述主像素的排数，每一排所述主像素的排列方向平行于所述第一面板的第一边缘；
基于所述第一像素点的权重和所述第二像素点的权重，计算所述第一像素点的各个通道值与所述第二像素点的对应颜色的通道值的加权值。
可选地，所述第二像素点的排数和所述第三像素点的排数相同；
当所述第三像素点的排数大于1时，计算不同排的所述第三像素点的像素值所使用的权重不同。这样设计可以将第一像素点相邻的2-3行或列像素点均替换成加权像素值，此时不同行或列可以用不同权重进行加权计算，避免两行或列画面相同。
其中，排数为行数或列数，当第一边缘对应至少1行像素时，则这里的排数为行数，当第一边缘对应至少1列像素时，则这里的排数为列数。
在其他实现方式中，所述第二像素点的排数和所述第三像素点的排数也可以不同，例如，第二像素点的排数大于第三像素点的排数。例如，第二像素点的排数大于第三像素点的排数，则采用全部排数的第三像素点替换最靠近第一边缘的第二像素点。再例如，第二像素点的排数小于第三像素点的排数，则采用与第二像素点相同排数的第三像素点替换全部第二像素点。
示例性地，对于8K4K分辨率叠屏而言，当主像素和辅像素错位不足1个主像素时，将有小于1行/1列位于边缘的主像素无对应背光，此时可能出现该1行/1列主像素色偏或变暗，也即无法正常显示前述第一像素点，此时可以计算在相邻的内侧1行/1列的主像素中显示的第二像素点与第一像素点的加权值，得到第三像素点的像素值，然后在相邻的内侧1行/1列的主像素中显示第三像素点；当错位大于或等于1个主像素时，将有大于或等于1行/1列位于边缘的主像素无对应背光，此时最边缘1行/1列主像素完全变黑，次边缘的1行/1列主像素变暗或色偏，均无法正常显示前述第一像素点，此时可以计算在这2行/2列相邻的内侧2行/2列主像素中显示的第二像素点与第一像素点的加权值，得到第三像素点的像素值，然后在相邻的内侧2行/2列的主像素中显示第三像素点。
对于4K4K分辨率叠屏而言，同样存在上述错位情况，处理方式可以采用8K4K相同的方式即可。
以8K4K叠屏为例。例如，当第一边缘为上边缘，第一边缘的像素为第1 行时，将源图像的前3行进行加权处理，如公式(1)：
src1(1,:,1:3)＝fr11*src(1,:,1:3)+fr12*src(2,:,1:3)+fr13*src(3,:,1:3)；
src1(2,:,1:3)＝fr21*src(1,:,1:3)+fr22*src(2,:,1:3)+fr23*src(3,:,1:3)；
src1(3,:,1:3)＝fr31*src(1,:,1:3)+fr32*src(2,:,1:3)+fr33*src(3,:,1:3)；——(1)
其中，在src1(1,:,1:3)中，“src1”表示第三像素点的通道值，“1,”表示第1行，“1:3”表示红绿蓝三个通道都按照该公式计算。src为源(source)图像中的通道值。fr为first rows，表示开始几行，其中，fr11为计算第1行加权值时，第1行像素点的权重，fr12为计算第1行加权值时，第2行像素点的权重，fr21为计算第2行加权值时，第1行像素点的权重，其他依次类推。
其中，fr11、fr12、fr13、fr21、fr22、fr23、fr31、fr32、fr33均为权重，在没有错位时的默认值1、0、0、0、1，0、0、0、1；在发生错位时，通常各个权重均为0-1之间的小数，可以用8bit小数表示，其中第1bit为整数位，后续7bit为小数位。
需要说明的是，由于第1行最终无法显示，所以也可以不计算第1行加权值，也即不用计算src1(1,:,1:3)；或者计算出后，不替换源图像中的像素点。
当第一边缘为下边缘，第一边缘的像素为第4320行时，将源图像的最后3行进行加权处理，如公式(2)：
src1(4320,:,1:3)＝lr11*src(4320,:,1:3)+lr12*src(4319,:,1:3)+lr13*src(4318,:,1:3)；
src1(4319,:,1:3)＝lr21*src(4320,:,1:3)+lr22*src(4319,:,1:3)+lr23*src(4318,:,1:3)；
src1(4318,:,1:3)＝lr31*src(4320,:,1:3)+lr32*src(4319,:,1:3)+lr33*src(4318,:,1:3)；
——(2)
其中，在src1(4320,:,1:3)中，“src1”表示第三像素点的通道值，“4320,”表示第4320行，“1:3”表示红绿蓝三个通道都按照该公式计算。src为源(source)图像中的通道值。lr为last rows，表示最后几行，其中，lr11为计算最后1行加权值时，最后1行像素点的权重，lr12为计算最后1行加权值时，倒数第2行像素点的权重，lr21为计算倒数第2行加权值时，最后1行像素点的权重，其他依次类推。
当第一边缘为左侧边缘，第一边缘的像素为第1列时，将源图像的前3列进行加权处理，如公式(3)：
src1(:,1,1:3)＝fc11*src(:,1,1:3)+fc12*src(:,2,1:3)+fc13*src(:,3,1:3)；
src1(:,2,1:3)＝fc21*src(:,1,1:3)+fc22*src(:,2,1:3)+fc23*src(:,3,1:3)；
src1(:,3,1:3)＝fc31*src(:,1,1:3)+fc32*src(:,2,1:3)+fc33*src(:,3,1:3)；——(3)
其中，在src1(:,1,1:3)中，“src1”表示第三像素点的通道值，“,1”表示第1列，“1:3”表示红绿蓝三个通道都按照该公式计算。src为源(source)图像中的通道值。fc为first columns，表示开始几列，其中，fc 11为计算第1列加权值时，第1列像素点的权重，fc12为计算第1列加权值时，第2列像素点的权重，fc21为计算第2列加权值时，第1列像素点的权重，其他依次类推。
当第一边缘为右侧边缘，第一边缘的像素为第7680列时，将源图像的最后3列进行加权处理：
src1(:,7680,1:3)＝lc11*src(:,7680,1:3)+lc12*src(:,7679,1:3)+lc13*src(:,7678,1:3)；
src1(:,7679,1:3)＝lc21*src(:,7680,1:3)+lc22*src(:,7679,1:3)+lc23*src(:,7678,1:3)；
src1(:,7678,1:3)＝lc31*src(:,7680,1:3)+lc32*src(:,7679,1:3)+lc33*src(:,7678,1:3)；
——(4)
其中，在src1(:,7680,1:3)中，“src1”表示第三像素点的通道值，“,7680”表示第7680列，“1:3”表示红绿蓝三个通道都按照该公式计算。src为源(source)图像中的通道值。lc为last columns，表示最后几列，其中，lc11为计算最后1列加权值时，最后1列像素点的权重，lc12为计算最后1列加权值时，倒数第2列像素点的权重，lc21为计算倒数第2列加权值时，最后1列像素点的权重，其他依次类推。
各个权重的大小，可以基于叠屏错位大小确定。示例性地，可以先保存不同错位大小时权重的值，后续确定出叠屏错位大小后，选择对应的权重即可。
在本公开实施例中，叠屏错位大小可以通过设计特定的图形(pattern)来确定两个面板的对位情况。
可选地，该方法还可以包括：在所述第一面板的第一位置显示第一图形；
在所述第二面板的第二位置显示第二图形，在所述第一面板和所述第二面板未发生错位时，所述第一位置和所述第二位置至少部分相对；
基于所述第一图形的亮度，确定所述第一面板和所述第二面板的叠屏错位大小。
下面分别针对8K4K和4K4K两种分辨率的叠屏，分别举例说明上述图形设计：
8K4K对位pattern设计。
8K4K对位pattern如图5所示：辅像素显示图像为W(白色)的十字线(第 一图形)，如图5左侧所示，亮线的位置(第一位置)为：1080行、1920列。主像素显示图像为水平/竖直方向对位短线段(第二图形)，如图5右侧所示，水平短线为2158行～2162行，竖直短线为3838列～3842列(第二位置)。根据主像素显示的这些短线亮的程度来确定对位的关系，例如亮度越大对位越准确，基于亮度值，可以得到叠屏错位大小。
4K4K对位pattern设计。
4K4K对位pattern如图6所示：辅像素显示图像为亮的十字线(第一图形)，亮线的位置(第一位置)为：1080行的RGB均亮(白色)、1920列的G亮(绿色)，如图6左侧所示。主像素显示图像水平方向单像素白线(第二图形)，位置为1079行～1081行(第二位置)；竖直方向为单色线(第二图形)，1919列(第二位置)为B、1920列(第二位置)依次为R/G/B、1921列(第二位置)为R。根据主像素显示的这些短线亮的程度来确定对位的关系。
在步骤203中，采用所述第三像素点的像素值替换所述源图像中的第二像素点的像素值，得到第一图像。
步骤202和步骤203可以称为边框处理，通过边框处理，将第一边缘对应的像素点压缩到相邻排像素点中进行显示，避免叠屏错位造成与第一边缘对应的像素点内容丢失的问题。
在步骤204中，从所述第一图像中提取每个像素点的三个通道中的最大灰阶，得到所述第二面板的第一灰阶数据。
示例性地，输入：src1,10bit；输出：sub1,10bit，提取方式，如公式(5)：
sub1＝max(src1(R,G,B))；——(5)
其中，sub1即为第二面板的第一灰阶数据，sub1为RGB三个通道中的最大灰阶。
步骤204可以称为亮度提取。通过提取三个通道里的最大值，可以保证各个主像素的背光都足够支持该主像素的显示亮度。实际叠屏的各个像素的亮度可以通过主像素再进行精细调节。
在步骤205中，基于叠屏错位大小，对所述第一灰阶数据进行移位，得到所述第二面板的第二灰阶数据。
移位时，所述叠屏错位大小越大，移位的大小越大。其中，所述叠屏错位大小是指正投影位于所述第二面板的显示面之外的所述主像素的排数。
示例性地，步骤205可以包括：
确定所述叠屏错位大小大于或等于1排主像素的第一边缘；
沿朝向所述第一边缘的方向对所述第一灰阶数据进行平移，移位的大小等于所述叠屏错位大小的整数部分。
在第一面板和第二面板出现错位时，除了会导致边缘无法正常显示，还会导致由于主像素和辅像素的错位叠加，导致亮度变强或减弱，造成亮线或暗线，亮线会造成色偏，暗线会造成局部对比度低(特别是在4K4K叠屏显示白底黑字等场景中)，这些都会影响用户观感。因此，需要对第一灰阶数据进行移位，减小错位，从而降低错位带来的观感差的问题。
示例性地，可以采用2个寄存器Flag_r和Flag_c分别记录第一面板中行的错位情况(也即列方向上的错位)和列的错位情况(也即行方向上的错位)，图7提供了一种错位示意图，参见图7，第一面板10和第二面板20在两个方向上均有错位，列方向上的错位为图中A区域，行方向上的错位为图中B区域。按照错位大小，每个寄存器的取值可以分为如下3中情况，组合起来共9种取值方式：
表2
Flag_r 列方向错位大小
0 错位大小<1个主像素
1 向上错位≥1个主像素
2 向下错位≥1个主像素
Flag_c 行方向错位大小
0 错位大小<1个主像素
1 向上错位≥1个主像素
2 向下错位≥1个主像素
若flag_r＝0：则在列方向上不需要进行移位处理；
若flag_c＝0：则在行方向上不需要进行移位处理；
若flag_r＝1或2：则在列方向上进行移位处理；
若flag_c＝1或2：则在行方向上进行移位处理。
当flag_r＝1时，将第二面板的灰阶数据在列方向上向前(向上)移位；当flag_r＝2时，将第二面板的灰阶数据在列方向上向后(向下)移位；当flag_c＝1时，将第二面板的灰阶数据在行方向上向前(向左)移位；当flag_c＝2时，将第二面板的灰阶数据在行方向上向后(向右)移位。
示例性地，沿朝向所述第一边缘的方向对所述第一灰阶数据进行平移，包括：
在所述第一灰阶数据的第一排数据前增加至少一排数据位；
将所述第一灰阶数据沿朝向所述第一边缘的方向平移，使所述至少一排数据位被填充，且所述第一灰阶数据的最后空出至少一排数据位；
采用所述第一灰阶数据的最后至少一排数据填充最后空出的所述至少一排数据位。
下面以Flag_r＝1为例，对移位的过程进行说明。Flag_r＝1，第一面板向上错位≥1个主像素，此时需要将第二面板的灰阶数据在列方向上向前移位，以移动1位为例。
在第二面板的第一灰阶数据sub1每列的第1个数据之前添加一个位置(空位)，然后将每一列中各个数据均向前移动一个位置。将空出的最后一个位置，用每列的最后1个数据填充。从而减小甚至消除，两个面板之间的叠屏错位。
可选地，在每列的最后一个数据后添加一个位置(空位)，用每列的最后1个数据填充。这样设置，可以保证每列的数据个数为偶数，更符合面板的灰阶数据设计。
上面只是以移动一位为例，在其他实施例中，移动的位数可以为大于1的整数。
在步骤206中，基于所述第二灰阶数据，计算所述辅像素与周围若干辅像素的灰阶值的加权值，得到所述第二面板的第三灰阶数据。
在本公开实施例中，由于叠屏显示设备有不同分辨率，所以第一面板和第二面板对应的像素数量不同。假设第一面板中主像素和第二面板中辅像素的比例为D，D为正数。
当第一面板和第二面板的分辨率相同时，每个主像素对应一个子像素，也即D＝1。例如，4K4K叠屏显示设备中，D＝1。
当第一面板和第二面板的分辨率不同时，通常主像素的数量大于辅像素数量，每个主像素对应一个以上子像素，也即D＞1。例如，8K4K叠屏显示设备中，D＝4。
在本公开实施例的一种实现方式中，所述第一面板和所述第二面板的分辨率相同，此时，步骤206可以包括：
步骤2061A：采用所述第二灰阶数据作为待计算灰阶数据。
也即，当D＝1时，待计算灰阶数据sub20＝sub1，这里的sub1为移位后的数据。步骤2061A为可选步骤。
步骤2062A：计算所述待计算灰阶数据中所述辅像素对应的灰阶均值和所述辅像素对应的最大灰阶值的加权值，得到第三灰阶数据；其中，所述辅像素对应的灰阶均值是所述辅像素第一范围内的多个第一辅像素的灰阶均值，和所述辅像素对应的最大灰阶值是所述辅像素第二范围内的多个第二辅像素的最大灰阶值，所述第一范围和所述第二范围相同或不同，且至少一个所述第一辅像素与所述第二辅像素重合或者任一个所述第一辅像素均不与所述第二辅像素重合。
其中，一定范围内可以是以所述辅像素为中心的，3×3个辅像素范围内。当辅像素在第二面板边缘时，该辅像素3×3范围内存在缺少辅像素的情况，此时可以在该辅像素3×3范围内缺少辅像素的位置补充灰阶值。例如，在缺少辅像素的位置补充位于3×3中心的该辅像素的灰阶值，或者，在缺少辅像素的位置补充0；然后再以辅像素为中心进行计算。
在经过步骤205的移位处理后，已经解决了大部分的错位，例如错位2.5个主像素，则通过步骤205移位2行，实际错位只剩下0.5个主像素。这0.5个主像素的错位已经无法通过移位实现。由于，此时主像素对应的辅像素提供的背光可能是多个辅像素的亮度的加权。所以，可以采用步骤2062A的方式计算。
示例性地，该步骤可以利用滤波器实现，例如，采用第一滤波器对辅像素第一范围内辅像素进行滤波，选中并计算所述多个第一辅像素的灰阶均值；采用第二滤波器对辅像素第二范围内辅像素进行滤波，选中并确定所述多个第二辅像素的最大灰阶值；计算所述多个第一辅像素的灰阶均值和所述多个第二辅像素的最大灰阶值的加权值。
可选地，所述第一滤波器和所述第二滤波器的大小均为3×3。
以第一范围和第二范围均为3×3，第一滤波器和第二滤波器均为3×3滤波器为例，参见公式(6)：
sub2(i,j)＝k f*∑∑(sub20(i-1:i+1,j-1:j+1)*filter_w)
+k m*max(filter_ww*sub20(i-1:i+1,j-1:j+1))；——(6)
其中，sub2(i,j)为第三灰阶数据中第i行第j列的辅像素的灰阶；k f、k m为权值，位宽8bit(第1位整数位，后面7个为小数位)，k f+k m＝1，k f、k m默认为0.5、0.5，可以根据需要设置；sub20(i-1:i+1,j-1:j+1)表示待计算灰阶数据中以(i,j)为 中心的9个辅像素。
filter_w是3*3的滤波模板，包括9个可配置参数(a11,a12,a13；a21,a22,a23；a31,a32,a33)，每个可配置参数的位宽8bit(第1位整数位，后面7个为小数位)。
当不存在错位时，默认a22＝1，其它值均为0，即：
Figure PCTCN2021110837-appb-000001
当存在错位时，由于经过了步骤205的移位，此时，只存在不足一个像素的错位，根据错位的情况，可以相应设置filter_w中的各个可配置参数：
例如，仅存在行方向错位，此时
Figure PCTCN2021110837-appb-000002
或者
Figure PCTCN2021110837-appb-000003
在上述公式中，x的取值范围均在0～1之间，且x的取值与对应方向上的错位大小相关。
filter_ww是3*3的滤波模板，包括9个可配置参数(w11,w12,w13；w21,w22,w23；w31,w32,w33)，每个可配置参数的位宽1bit。
当不存在错位时，默认w22＝1，其它值均为0，即：
Figure PCTCN2021110837-appb-000004
当存在错位时，由于经过了步骤205的移位，此时，只存在不足一个像素的错位，根据错位的情况，可以相应设置filter_ww中的各个可配置参数：
例如，仅存在行方向错位，此时
Figure PCTCN2021110837-appb-000005
或者
Figure PCTCN2021110837-appb-000006
由于filter_ww选出的辅像素是计算最大值，而非平均值，因此直接将要选取的辅像素对应的可配置参数设置为1即可。
在对sub20(i-1:i+1,j-1:j+1)进行滤波时，滤波模板中可配置参数为0的位置对应的辅像素实际并未参与平均值或最大值的计算。两个滤波模板的取值可以不同，在计算平均值和最大值时，实际起作用的辅像素也不同。
在上述示例中，第一范围和第二范围相同，且第一辅像素和第二辅像素完全重合。
在本公开实施例的一种实现方式中，所述第一面板和所述第二面板的分辨率不同，此时，步骤206可以包括：
步骤2061B：计算所述辅像素影响的多个所述主像素的灰阶均值和最大值的加权值，得到待计算灰阶数据。
示例性地，当D＞1时，待计算灰阶数据sub20计算方式如公式(7)：
sub20(i,j)＝K L1*floor(max(block))+(1-K L1)*floor(mean(block))；——(7)
其中，sub20(i,j)为待计算灰阶数据中第i行第j列的辅像素的灰阶；K L1为权值，可以根据需要设置；floor为向下取整函数；max(block)为第i行第j列的辅像素对应的多个主像素中灰阶最大值，block表示辅像素对应的多个主像素；mean(block)为第i行第j列的辅像素对应的多个主像素的灰阶均值。其中，主像素灰阶可以基于源图像按照叠屏显示设备常规的灰阶分配比例确定得到。
当D＝2时，前述block包括4个主像素。
步骤2062B：计算所述待计算灰阶数据中所述辅像素对应的灰阶均值和所述辅像素对应的最大灰阶值的加权值，得到第三灰阶数据；其中，所述辅像素对应的灰阶均值是所述辅像素第一范围内的多个第一辅像素的灰阶均值，和所述辅像素对应的最大灰阶值是所述辅像素第二范围内的多个第二辅像素的最大灰阶值，所述第一范围和所述第二范围相同或不同，且至少一个所述第一辅像素与所述第二辅像素重合或者任一个所述第一辅像素均不与所述第二辅像素重合。
步骤2062B的计算方法和步骤2062A相同，只是输入的待计算灰阶数据不同，这里不再重复。
步骤205和步骤206可以称为预处理，由于叠屏错位，此时第一面板和第二面板没有准确对位，通过步骤205的移位可以减小错位情况，解决错位大于1时的整数部分，让错位减小到一个主像素以下；由于错位通常不是整数，因此，光靠移位无法完全解决错位问题，此时利用加权计算，通过步骤206可以解决步骤205后剩余的错位不足1个主像素的部分，使得第一面板一个主像素对应的第二面板的灰阶为若干共同作用在主像素的辅像素灰阶的加权值，使得主像素从对应的多个辅像素获取到的背光的亮度，与不错位时相比基本不变，从而可以避免错位造成的色偏等问题。
在步骤207中，获取灰阶映射表。
该灰阶映射表包括第三灰阶数据和第四灰阶数据的映射关系。该灰阶映射表可以包含各种分辨率情况下的映射关系，这样，从而使得该方法可以兼容不同分辨率的叠屏显示设备，例如8K4K和4K4K；也可以只包括当前叠屏对应的分辨率情况下的映射关系。
在该灰阶映射表中，若所述第一面板和所述第二面板的分辨率相同，则所述第四灰阶数据的灰阶值不小于所述第三灰阶数据中的对应灰阶值(参照下表3中的sub列和Sub3(D＝1)列的数值)；若所述第一面板和所述第二面板的分辨率不同，则当所述灰阶值超过阈值时，所述第四灰阶数据的灰阶值不小于所述第三灰阶数据中的对应灰阶值(参照下表3中的sub列和Sub3(D＝4)列的数值，其中阈值可以是192)。
第四灰阶数据sub3和第三灰阶数据sub2的映射关系如下：sub3＝f 1(sub2)；
将该映射关系转换为映射关系表的形式，也即先确定出部分点的对应关系，如表3所示，即为一种映射关系表的示例：
表3
序号 Sub2 Sub3(D＝1) Sub3(D＝4) 距离
1 0 0 0 \
2 128 350 92 2 7
3 256 597 380 2 7
4 384 750 796 2 7
5 512 880 980 2 7
6 640 932 1023 2 7
7 768 980 1023 2 7
8 896 999 1023 2 7
9 1023 1023 1023 2 7
其中，距离是指相邻2个sub2的端点之间的距离，该距离是在建立灰阶映射表时，划分第三灰阶数据的灰阶值的范围时产生的，在其他实施例中，灰阶映射表也可以不包含该列参数。当然，上表仅为示例，也可以采用其他的点作为上表中的端点。
在步骤208中，利用灰阶映射表将所述第三灰阶数据映射为第四灰阶数据。
在所述灰阶映射表中，所述第三灰阶数据的灰阶值分为连续的多个第一范围，所述第四灰阶数据的灰阶值分为连续的且与所述多个第一范围一一对应的 多个第二范围；
该步骤208可以包括：基于所述第一面板和所述第二面板的分辨率，确定灰阶映射表；确定所述第三灰阶数据中的灰阶值在所述灰阶映射表中所处第一范围；在所述灰阶映射表中确定所述第一范围对应的所述第二范围；根据确定出的所述第二范围的端点进行线性插值，确定出所述第三灰阶数据中的灰阶值对应的所述第四灰阶数据中的灰阶值。
示例性地，所述第一面板的分辨率为4K或8K，所述第二面板的分辨率为4K；所述第一面板的分辨率不同，对应的所述灰阶映射表不同，也即4K的第一面板对应的灰阶映射表和8K的第一面板对应的灰阶映射表不同，比如两种情况分别对应表3的一部分。
示例性地，该灰阶映射表在使用时，可以根据sub2的值，确定sub2所处范围的端点；然后，基于该表和叠屏显示面板的分辨率(对应D的取值)，确定sub3的端点；然后根据确定出的sub3的端点进行线性插值，确定出第四灰阶数据。
示例性地，输入的第三灰阶数据x＝220，求第四灰阶数据y的方式如下：
x＝220在[192,256]区间内，即x∈[sub2(4),sub2(5)]，因此要求y需要在[sub3(4),sub3(5)]这一段内进行线性插值，y的计算公式如公式(8)：
Figure PCTCN2021110837-appb-000007
其中，sub2(4)、sub3(5)等括号中的数值为上表内的序号。
步骤207和步骤208可以称为曲线映射，通过曲线映射增强辅像素灰阶，削弱主像素灰阶，避免主像素透过率太大，造成重影、光晕等问题。因为该映射方式会增加第二面板灰阶，降低第一面板中辅像素灰阶，这样，不会因为第一面板中主像素灰阶过高导致重影、光晕。同时，提高第二面板的灰阶，使得低灰阶时亮度变化大，还能提高对比度。另外，叠屏整体亮度不会发生变化。
在步骤209中，基于所述第四灰阶数据，检测所述第二面板是否存在异常辅像素，所述异常辅像素显示呈亮线或暗线。
示例性地，步骤209可以包括：
基于待检测辅像素和相邻辅像素的灰阶值，确定所述待检测辅像素处是否存在单像素亮线或者双像素亮线或者三像素亮线；
以及，基于待检测辅像素和相邻辅像素的灰阶值，确定所述待检测辅像素处是否存在单像素暗线或者双像素暗线或者三像素暗线。
在进行亮线和暗线检测时，由于需要基于待检测辅像素和其相邻辅像素的 灰阶值确定，因此，为了保证位于边缘的待检测辅像素也能正常进行检测。可以在第四灰阶数据的左右各补充至少两列0，上下各补入至少一行0。
其中，单像素亮线检测方法如下：满足以下任一组条件，即认为待检测辅像素处存在单像素亮线：
第一组条件：
将待检测辅像素及其行方向上同一侧相邻2个辅像素作为一个整体，采用亮线梯度检测模板进行检测，得到的梯度值(vector_peak.*g_peak)大于阈值T1*g_m，且待检测辅像素与其相隔的辅像素的灰度差小于阈值T2。则认为待检测辅像素相邻的辅像素为亮点，也即待检测辅像素处存在单像素亮线。其中，vector_peak为前述三个辅像素的灰度值，g_peak为前述亮线梯度检测模板，也即一个3×1的滤波器，g_peak＝[-1,2,-1]。
第二组条件：将待检测辅像素行方向上同一侧相邻3个辅像素作为一个整体，采用亮线梯度检测模板进行检测，得到的梯度值(vector_peak.*g_peak)大于阈值T1*g_m，且3个辅像素中相隔的2个辅像素的灰度差小于阈值T2。将待检测辅像素及其同一侧相邻2个辅像素作为一个整体，采用边缘梯度检测模板进行检测，得到的梯度值(vector_edge.*g_edge)大于阈值T1*g_m。则认为待检测辅像素相邻的第二个辅像素为亮点，也即待检测辅像素处存在单像素亮线。其中，vector_edge为前述待检测辅像素及其同一侧相邻2个辅像素的灰度值，g_edge为前述边缘梯度检测模板，也即一个3×1的滤波器，g_edge＝[-1,2,-1]。
第三组条件：将待检测辅像素行方向上同一侧的3个辅像素作为一个整体，该整体与待检测辅像素间间隔一个辅像素，采用亮线梯度检测模板进行检测，得到的梯度值(vector_peak.*g_peak)大于阈值T1*g_m，且3个辅像素中相隔的2个辅像素的灰度差小于阈值T2。将待检测辅像素同一侧相邻3个辅像素作为一个整体，采用边缘梯度检测模板进行检测，得到的梯度值(vector_edge.*g_edge)大于阈值T1*g_m。将待检测辅像素及其同一侧相邻2个辅像素作为一个整体，采用平坦梯度检测模板进行检测，得到的梯度值(vector_plane.*g_plane)大于阈值T1*g_m。则认为待检测辅像素相邻的第三个辅像素为亮点，也即待检测辅像素处存在单像素亮线。其中，vector_plane为前述待检测辅像素及其同一侧相邻2个辅像素的灰度值，g_plane为前述边缘梯度检测模板，也即一个3×1的滤波器，g_edge＝[-1,2,-1]。
上述三种情况检测如图8所示，其中，不同的框代表用不同的模板进行检 测，详情如图所示，前述三组条件分别对应图8中的情况(a)、(b)和(c)。
双像素线检测方法如下：满足以下任一组条件，即认为待检测辅像素处存在双像素亮线：
第一组：当待检测辅像素的灰度值center<Th1；
待检测辅像素相邻的左1、左2、辅像素灰度值>Th2&左3像素灰度值<Th1；或者待检测辅像素相邻的右1、右2辅像素灰度值>Th2&右3像素灰度值<Th1。其中，左1为待检测辅像素左侧相邻的第一个辅像素，左2为待检测辅像素左侧相邻的第二个辅像素，右1为待检测辅像素右侧相邻的第一个辅像素，以此类推。这种情况说明相邻的2个辅像素为亮点，形成双像素亮线，如图9中(a)所示。
第二组：待检测辅像素的灰度值center<Th1；
待检测辅像素相邻的左1、左4辅像素灰度值<Th1&左2、左3辅像素灰度值>Th2)；或者待检测辅像素相邻的右1、右4辅像素灰度值<Th1&右2、右3辅像素灰度值>Th2。这种情况说明与待检测辅像素相隔一个辅像素的两个相邻辅像素为亮点，形成双像素亮线，如图9中(b)所示。
三像素线检测方法如下：满足以下任一组条件，即认为待检测辅像素处存在三像素亮线：
第一组：待检测辅像素的灰度值center<Th1；
待检测辅像素相邻的左1、左2、左3辅像素灰度值>Th2&左4辅像素灰度值<Th1；或者，待检测辅像素相邻的右1、右2、右3辅像素灰度值>Th2&右4辅像素灰度值<Th1。这种情况说明相邻的3个辅像素为亮点，形成三像素亮线，如图9中(c)所示。
第二组：待检测辅像素的灰度值center<Th1；
待检测辅像素相邻的左1、左5辅像素灰度值<Th1&左2、左3、左4辅像素灰度值>Th2；或者，待检测辅像素相邻的右1、右5辅像素灰度值<Th1&右2、右3、右4辅像素灰度值>Th2。这种情况说明与待检测辅像素相隔一个辅像素的三个相邻辅像素为亮点，形成三像素亮线，如图9中(d)所示。
其中，单像素暗线检测方法如下：
竖向单像素暗线检测：待检测辅像素的灰度值center<Th1；待检测辅像素相邻的左1、右1辅像素灰度值>Th2。这种情况说明待检测辅像素为暗点，形成单像素暗线，如图10中(a)所示。
横向单像素暗线检测：待检测辅像素的灰度值center<Th1；待检测辅像素相邻的上1、下1辅像素灰度值>Th2。这种情况说明待检测辅像素为暗点，形成横向单像素暗线，如图10中(b)所示。
双像素暗线检测方法如下：
待检测辅像素的灰度值center<Th1；
待检测辅像素相邻的右1辅像素灰度值<Th1&左1、右2辅像素灰度值>Th2；或者待检测辅像素相邻的左1辅像素灰度值<Th1&左2、右1辅像素灰度值>Th2。这种情况说明待检测辅像素及其相邻的一个辅像素为暗点，形成双像素暗线，如图10中(c)所示。
三像素暗线检测方法如下：
待检测辅像素的灰度值center<Th1；
待检测辅像素相邻的左1、右3辅像素灰度值>Th2&右1、右2辅像素灰度值<Th1)，或者待检测辅像素相邻的左1、右1辅像素灰度值<Th1&左2、右2辅像素灰度值>Th2)，或者待检测辅像素相邻的左1、左2辅像素灰度值<Th1&左3、右1辅像素灰度值>Th2。这种情况说明待检测辅像素及其相邻的2个辅像素为暗点，形成三像素暗线，如图10中(d)所示。
需要说明的是，前述阈值T1*g_m、T2、Th1、Th2等均可以根据需要设置。例如，T1为固定倍数，取值可以为1.2或1.5，g_m为待检测辅像素的灰阶值；T2取值较小，例如可以小于或等于20；Th1的取值可以大于或等于200；Th2的取值可以小于或等于50。
另外，无论4K4K还是8K4K都需要进行亮线检测，4K4K需进行暗线检测，而8K4K无需进行暗线检测。
在上述检测过程中，可以先检测亮线，没检测出亮线再检测暗线，若检测出亮线，则不用再检测暗线。
在步骤210中，若所述第二面板存在异常辅像素，则基于所述异常辅像素两侧的辅像素的灰阶值，对所述第四灰阶数据进行补偿，得到补偿后的第四灰阶数据，得到第二面板的灰阶数据。
对于补0后的第四灰阶数据进行滤波，每次取3*5的模块记为Tmp，Tmp中心值记为center，Tmp中最大值记为Max；以center为中心，取1*11模块记为Tmp1，Tmp1中最大值记为Max1，如图11所示，为上述第四灰阶数据的滤波示意图，图中S24为center，Tmp为图中覆盖S12～S36的框内的部分，Tmp1 为图中覆盖0～S29的框内的部分。
在检测到单像素亮线时，可以按照如下公式进行处理：
满足第一组条件，处理方式如公式(9)：
y sub32＝floor(k 1-1pixel*((left||right-center)*(2 10-center)+2 10*center)/2 10)；y sub31＝∑∑Tmp*filter1；——(9)
其中，k 1-1pixel为调暗系数，可以根据需要设置；left||right表示亮点在中心点的左侧或右侧，基于实际情况确定。filter1为3×5滤波器。
满足第二组条件，处理方式如公式(10)：
y sub32＝floor(k 1-2pixel*((left2||right2-center)*(2 10-center)+2 10*center)/2 10)；y sub31＝∑∑Tmp*filter1；——(10)
其中，k 1-2pixel为调暗系数，可以根据需要设置；left2||right2表示亮点在中心点的左侧第二个或右侧第二个，基于实际情况确定。
满足第三组条件，处理方式如公式(11)：
y sub32＝floor(k 1-3pixel*((left3||rigt 3-center)*(2 10-center)+2 10*center)/2 10)；y sub31＝∑∑Tmp*filter1；——(11)
其中，k 1-3pixel为调暗系数，可以根据需要设置；left3||right3表示亮点在中心点的左侧第三个或右侧第三个，基于实际情况确定。
然后，基于sub4＝max(ysub31,ysub32)得到补偿后的第四灰阶数据sub4。
在检测到双像素亮线时，可以按照如下公式进行处理：
满足第一组条件，处理方式如公式(12)：
y sub32＝floor(k 2-1pixel*((Max1-center)*(2 10-center)+2 10*center)/2 10))；y sub31＝∑∑Tmp*filter1；——(12)
其中，k 2-1pixel为调暗系数，可以根据需要设置。
满足第二组条件，处理方式如公式(13)：
y sub32＝floor(k 2-2pixel*((Max1-center)*(2 10-center)+2 10*center)/2 10))；y sub31＝∑∑Tmp*filter1；——(13)
其中，k 2-2pixel为调暗系数，可以根据需要设置。
然后，基于sub4＝max(ysub31,ysub32)得到补偿后的第四灰阶数据sub4。
在检测到三像素亮线时，可以按照如下公式进行处理：
满足第一组条件，处理方式如公式(14)：
y sub32＝floor(k 3-1pixel*((Max1-center)*(2 10-center)+2 10*center)/2 10))；y sub31＝∑∑Tmp*filter1；——(14)
其中，k 3-1pixel为调暗系数，可以根据需要设置。
满足第二组条件，处理方式如公式(15)：
y sub32＝floor(k s-2pixel*((Max1-center)*(2 10-center)+2 10*center)/2 10))；y sub31＝∑∑Tmp*filter1；——(15)
其中，k 3-2pixel为调暗系数，可以根据需要设置。
然后，基于sub4＝max(ysub31,ysub32)得到补偿后的第四灰阶数据sub4。
在检测到单像素、双像素、三像素暗线时，可以按照如下公式(16)进行处理：
y sub32＝floor((k _black*Max1)；
y sub31＝∑∑Tmp*filter1；——(16)
其中，k black为调亮系数，可以根据需要设置。
在检测到横向单像素暗线时，可以按照如下公式(17)进行处理：
y sub32＝floor((k _black*Max2)；
y sub31＝∑∑Tmp*filter1；
Max2＝max(center,上1,下1)；——(17)
其中，上1、下1为暗点上下2个辅像素的灰阶。
然后，基于公式(18)得到补偿后的第四灰阶数据sub4：
sub4＝max(ysub31,ysub32)；——(18)
进一步地，当为检测到暗线或亮线时，还可以进行如下处理：
若中心辅像素灰阶center等于区域最大值Max，则不进行滤波，用区域最大值Max赋值。
若中心辅像素灰阶center不等于区域最大值Max，则计算Tmp的中值median，并赋值给ysub32(ysub32＝k_md*median)，滤波赋值ysub31，最后取三者最大值sub4(sub4＝max(k_c*center,ysub31,ysub32))；上述k_md、k_c均为权值，可以基于需要设置。例如，D＝1时，尽量使辅像素变亮，此时取k_md，kc的默认值均为1；D＝4时取滤波值即可，此时取k_md,kc的默认值均为0。
步骤209和步骤210可以称为膨胀模糊，通过亮线检测与补偿，解决了不同灰度背景下的亮线色偏问题；通过暗线检测与补偿、以及与滤波相结合的方式，改善了4K4K叠屏显示的图像局部对比度低的问题。
需要说明的是，步骤205至步骤210均为可选步骤，在本公开实施例中，可以采用前述第三灰阶数据、第四灰阶数据、或者补偿后的第四灰阶数据，作为第二面板的灰阶数据。
在经过上述处理后，该方法还可以包括：输出第二面板的灰阶数据。
其中，输出第二面板的灰阶数据，可以包括：
根据Flag_r与Flag_c的值处理第二面板的灰阶数据，以4K4K为例：
Flag_r＝0，Flag_c＝0：ysub_out＝sub4；
Flag_r＝1：ysub_out＝sub4(2:2161,:)，即ysub_out为sub4去掉第一行的数据；
Flag_r＝2：ysub_out＝sub4(1:2160,:)，即ysub_out为sub4去掉最后一行的数据；
Flag_c＝1：ysub_out＝sub4(:,2:3841)，即ysub_out为sub4去掉第一列的数据；
Flag_c＝2：ysub_out＝sub4(:,1:3840)，即ysub_out为sub4去掉最后一列的数据。
上述情况是以4K4K为例说明的，在8K4K中，同样可以进行上述处理。
而第二面板的灰阶数据输出位宽需要根据第二面板对应的模式Mode_s的值分别处理：
Mode_s＝0；“假10bit”输出，例如低2位四舍五入(10\11时进位)得到高8位之后，再左移两位(补2位0)，最后补入两位0，可以给8bit设备用(根据0截断)，也可以给10bit设备使用。
Mode_s＝1；真10bit输出，也即直接输出处理后的第二面板的灰阶数据。
在步骤211中，基于所述第二面板的灰阶数据，确定所述主像素对应的一组所述辅像素的灰阶加权值，得到第五灰阶数据。
在求主像素的灰阶时，由于不足一个主像素的错位，main(i,j)实际对应的辅像素可能不再是sub5(i,j)，而是对sub5以及周围一圈sub4(i-1:i+1,j-1:j+1)的3*3窗口范围内的像素灰度值的加权，计算如公式(19)所示：
sub5(i,j)＝∑∑(sub4(i-1:i+1,j-1:j+1)*filter_wd)；——(19)
filter_wd为3*3的滤波模板，每一位8bit，可根据实际对位情况为9个可配置参数(b11,b12,b13；b21,b22,b23；b31,b32,b33)分别赋值。
在步骤212中，基于所述第五灰阶数据和所述第一图像，确定所述第一面板的灰阶数据。
其中，所述第一图像的亮度由所述第一面板的灰阶值和所述第二面板的灰阶值共同决定。
步骤212可以包括如下步骤：
按以下公式(20)计算补偿系数ymain：
Figure PCTCN2021110837-appb-000008
γ0为2.2，γ1为1，γ2为2.2；该公式可以看出第一图像的亮度由第一面板的灰阶值和第二面板的灰阶值共同决定；
使用以下公式(21)计算第一面板的灰阶数据ymain_out：
ymain_out(R,G,B)＝floor(ymain*((1/sub1)*2 19)*src1(R,G,B)/2 17)；——(21)
在确定出第一面板的灰阶数据后，可以按照如下方式控制输出位宽：
根据第一面板对应的模式Mode_m的值分别处理:
Mode_m＝0，真12bit输出，也即直接输出灰阶数据ymain_out；
Mode_m＝1，“假12bit(实际有效位10bit)”；输出低2位四舍五入得到高10位之后再左移两位；
Mode_m＝2，“假12bit(实际有效位8bit)”；输出低4位四舍五入得到高8位之后再左移四位。
图12为本公开实施例提供的一种灰阶数据确定装置的框图。灰阶数据确定装置应用于叠屏显示设备，所述叠屏显示设备包括重叠的第一面板和第二面板，所述第一面板包括主像素，所述第二面板包括辅像素，所述第一面板的第一边缘在所述第二面板的显示面的正投影，位于所述第二面板的显示面之外，参见图12，所述装置包括：获取模块301、计算模块302、替换模块303和处理模块304。
获取模块301，被配置为获取源图像，所述源图像包括多个像素点；
计算模块302，被配置为分别计算第一像素点的各个通道值与第二像素点的对应颜色的通道值的加权值，得到第三像素点的像素值，所述第一像素点为所述源图像中与所述第一边缘对应的像素点，所述第二像素点为所述源图像中与所述第一像素点相邻的像素点；
替换模块303，被配置为采用所述第三像素点的像素值替换所述源图像中的第二像素点的像素值，得到第一图像；
处理模块304，被配置为基于所述第一图像，确定所述第一面板的灰阶数据和第二面板的灰阶数据，所述第一面板的灰阶数据包括所述主像素的灰阶值，所述第二面板的灰阶数据包括所述辅像素的灰阶值。
可选地，计算模块302，被配置为基于叠屏错位大小确定所述第一像素点的 权重和所述第二像素点的权重，所述叠屏错位大小越大，所述第一像素点的权重越小，所述第二像素点的权重越大；其中，所述叠屏错位大小是指正投影位于所述第二面板的显示面之外的所述主像素的排数，每一排所述主像素的排列方向平行于所述第一面板的第一边缘；
基于所述第一像素点的权重和所述第二像素点的权重，计算所述第一像素点的各个通道值与所述第二像素点的对应颜色的通道值的加权值。
可选地，所述第二像素点的排数和所述第三像素点的排数相同；
当所述第三像素点的排数大于1时，计算不同排的所述第三像素点的像素值所使用的权重不同。
可选地，处理模块304，还被配置为在所述第一面板的第一位置显示第一图形；在所述第二面板的第二位置显示第二图形，在所述第一面板和所述第二面板未发生错位时，所述第一位置和所述第二位置至少部分相对；基于所述第一图形的亮度，确定所述第一面板和所述第二面板的叠屏错位大小。
可选地，处理模块304，被配置为从所述第一图像中提取像素点的三个通道中的最大灰阶，得到所述第二面板的第一灰阶数据；基于叠屏错位大小，对所述第一灰阶数据进行移位，得到所述第二面板的第二灰阶数据，所述叠屏错位大小越大，移位的大小越大；其中，所述叠屏错位大小是指正投影位于所述第二面板的显示面之外的所述主像素的排数；基于所述第二灰阶数据，计算所述辅像素与周围若干辅像素的灰阶值的加权值，得到所述第二面板的第三灰阶数据。
可选地，处理模块304，被配置为确定所述叠屏错位大小大于或等于1排主像素的第一边缘；沿朝向所述第一边缘的方向对所述第一灰阶数据进行平移，移位的大小等于所述叠屏错位大小的整数部分。
可选地，处理模块304，被配置为在所述第一灰阶数据的第一排数据前增加至少一排数据位；将所述第一灰阶数据沿朝向所述第一边缘的方向平移，使所述至少一排数据位被填充，且所述第一灰阶数据的最后空出至少一排数据位；采用所述第一灰阶数据的最后至少一排数据填充最后空出的所述至少一排数据位。
可选地，处理模块304，被配置为若所述第一面板和所述第二面板的分辨率相同，则采用所述第二灰阶数据作为待计算灰阶数据；计算所述待计算灰阶数据中所述辅像素对应的灰阶均值和所述辅像素对应的最大灰阶值的加权值，得 到第三灰阶数据；其中，所述辅像素对应的灰阶均值是所述辅像素第一范围内的多个第一辅像素的灰阶均值，和所述辅像素对应的最大灰阶值是所述辅像素第二范围内的多个第二辅像素的最大灰阶值，所述第一范围和所述第二范围相同或不同，且至少一个所述第一辅像素与所述第二辅像素重合或者任一个所述第一辅像素均不与所述第二辅像素重合。
可选地，处理模块304，被配置为若所述第一面板和所述第二面板的分辨率不同，则计算所述辅像素影响的多个所述主像素的灰阶均值和最大值的加权值，得到待计算灰阶数据；计算所述待计算灰阶数据中所述辅像素对应的灰阶均值和所述辅像素对应的最大灰阶值的加权值，得到第三灰阶数据；其中，所述辅像素对应的灰阶均值是所述辅像素第一范围内的多个第一辅像素的灰阶均值，和所述辅像素对应的最大灰阶值是所述辅像素第二范围内的多个第二辅像素的最大灰阶值，所述第一范围和所述第二范围相同或不同，且至少一个所述第一辅像素与所述第二辅像素重合或者任一个所述第一辅像素均不与所述第二辅像素重合。
可选地，处理模块304，被配置为采用第一滤波器对所述辅像素第一范围内辅像素进行滤波，选中并计算所述多个第一辅像素的灰阶均值；采用第二滤波器对所述辅像素第二范围内辅像素进行滤波，选中并确定所述多个第二辅像素的最大灰阶值；计算所述多个第一辅像素的灰阶均值和所述多个第二辅像素的最大灰阶值的加权值。
可选地，所述第一滤波器和所述第二滤波器的大小均为3×3。
可选地，处理模块304，还被配置为获取灰阶映射表；利用灰阶映射表将所述第三灰阶数据映射为第四灰阶数据；其中，若所述第一面板和所述第二面板的分辨率相同，则所述第四灰阶数据的灰阶值不小于所述第三灰阶数据中的对应灰阶值；若所述第一面板和所述第二面板的分辨率不同，则当所述灰阶值超过阈值时，所述第四灰阶数据的灰阶值不小于所述第三灰阶数据中的对应灰阶值。
可选地，在所述灰阶映射表中，所述第三灰阶数据的灰阶值分为连续的多个第一范围，所述第四灰阶数据的灰阶值分为连续的且与所述多个第一范围一一对应的多个第二范围；处理模块304，被配置为基于所述第一面板和所述第二面板的分辨率，确定灰阶映射表；确定所述第三灰阶数据中的灰阶值在所述灰阶映射表中所处第一范围；在所述灰阶映射表中确定所述第一范围对应的所述 第二范围；根据确定出的所述第二范围的端点进行线性插值，确定出所述第三灰阶数据中的灰阶值对应的所述第四灰阶数据中的灰阶值。
可选地，所述第一面板的分辨率为4K或8K，所述第二面板的分辨率为4K；所述第一面板的分辨率不同，对应的所述灰阶映射表不同。
可选地，处理模块304，还被配置为基于所述第四灰阶数据，检测所述第二面板是否存在异常辅像素，所述异常辅像素显示呈亮线或暗线；若所述第二面板存在异常辅像素，则基于所述异常辅像素两侧的辅像素的灰阶值，对所述第四灰阶数据进行补偿，得到补偿后的第四灰阶数据。
可选地，处理模块304，被配置为基于待检测辅像素和相邻辅像素的灰阶值，确定所述待检测辅像素处是否存在单像素亮线或者双像素亮线或者三像素亮线；以及，基于待检测辅像素和相邻辅像素的灰阶值，确定所述待检测辅像素处是否存在单像素暗线或者双像素暗线或者三像素暗线。
可选地，处理模块304，被配置为基于所述第二面板的灰阶数据，确定所述主像素对应的一组所述辅像素的灰阶加权值，得到第五灰阶数据；基于所述第五灰阶数据和所述第一图像，确定所述第一面板的灰阶数据。
需要说明的是：上述实施例提供的灰阶数据确定装置在进行叠屏错位补偿时，仅以上述各功能模块的划分进行举例说明，实际应用中，可以根据需要而将上述功能分配由不同的功能模块完成，即将装置的内部结构划分成不同的功能模块，以完成以上描述的全部或者部分功能。另外，上述实施例提供的灰阶数据确定装置与灰阶数据确定方法实施例属于同一构思，其实现过程详见方法实施例，这里不再赘述。
如图13所示，本公开实施例还提供了一种计算机设备400，该计算机设备400可以为叠屏显示装置，或者其他具有叠屏的计算机设备。该计算机设备400可以用于执行上述各个实施例中提供的灰阶数据确定方法。参见图13，该计算机设备400包括：存储器401、处理器402和显示组件403，本领域技术人员可以理解，图13中示出的计算机设备400的结构并不构成对计算机设备400的限定，在实际应用中可以包括比图示更多或更少的组件，或者组合某些组件，或者不同的组件布置。其中：
存储器401可用于存储计算机程序以及模块，存储器401可主要包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需 的应用程序等。存储器401可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件、闪存器件、或其他易失性固态存储器件。相应地，存储器401还可以包括存储器控制器，以提供处理器402对存储器401的访问。
处理器402通过运行存储在存储器401的软件程序以及模块，从而执行各种功能应用以及数据处理。
显示组件403用于显示图像，显示组件403可包括显示面板，可选的，可以采用LCD(Liquid Crystal Display，液晶显示器)、OLED(Organic Light-Emitting Diode,有机发光二极管)等形式来配置显示面板。
在示例性实施例中，还提供了一种计算机可读存储介质，该计算机可读存储介质为非易失性存储介质，该计算机可读存储介质中存储有计算机程序，当该计算机可读存储介质中的计算机程序由处理器执行时，能够执行本公开实施例提供的灰阶数据确定方法。
在示例性实施例中，还提供了一种计算机程序产品，该计算机程序产品中存储有指令，当其在计算机上运行时，使得计算机能够执行本公开实施例提供的灰阶数据确定方法。
在示例性的实施例中，还提供了一种芯片，该芯片包括可编程逻辑电路和/或程序指令，当该芯片运行时能够执行本公开实施例提供的灰阶数据确定方法。
图14是本公开实施例提供的一种屏幕驱动板的结构示意图。参见图14，该屏幕驱动板也可以称为T-CON板50，包括：时序控制器(T-CON)501、电压转换(DC-DC)电路502和灰阶电压产生(Gamma)电路503。
其中，时序控制器501，被配置为基于源图像，按照图2或图4所示的方法确定所述第一面板10的灰阶数据和所述第二面板20的灰阶数据；并产生所述第一面板10的时序控制信号和所述第二面板20的时序控制信号；
电压转换电路502，被配置为基于电源产生基准电压信号(VDA)和行驱动信号；
灰阶电压产生电路503，与所述电压转换电路502连接，被配置为基于所述 基准电压信号，产生所述第一面板10的主像素和所述第二面板20的辅像素的各个灰阶所需的灰阶电压。
其中，所述第一面板10的时序控制信号和所述行驱动信号被提供给所述第一面板10的行驱动电路(或称为栅极驱动电路)，也即图中第一行驱动电路60，所述第二面板20的时序控制信号和所述行驱动信号被提供给所述第二面板20的行驱动电路，也即图中第二行驱动电路70，所述第一面板10的灰阶数据、所述第一面板10的时序控制信号和所述第一面板10的主像素各个灰阶所需的灰阶电压被提供给所述第一面板10的列驱动电路(或称为源极驱动电路)，也即图中第一列驱动电路80，所述第二面板20的灰阶数据、所述第二面板20的时序控制信号和所述第二面板20的辅像素各个灰阶所需的灰阶电压被提供给所述第二面板20的列驱动电路，也即图中第二列驱动电路90。
示例性地，第一行驱动电路60，分别与所述时序控制器501、所述电压转换电路502和第一面板10连接，被配置为基于所述第一面板10的时序控制信号，并通过所述行驱动信号控制所述第一面板10的各行主像素的开关；
第一列驱动电路70，分别与所述时序控制器501、所述灰阶电压产生电路503和第一面板10连接，被配置为基于所述第一面板10的灰阶数据和时序控制信号，将所述灰阶电压产生电路503提供的灰阶电压写入所述第一面板的各列主像素；
第二行驱动电路80，分别与所述时序控制器501、所述电压转换电路502和第二面板20连接，被配置为基于所述第二面板20的时序控制信号，并通过所述行驱动信号控制所述第二面板20的各行辅像素的开关；
第二列驱动电路90，分别与所述时序控制器501、所述灰阶电压产生电路503和第二面板20连接，被配置为基于所述第二面板20的灰阶数据和时序控制信号，将所述灰阶电压产生电路503提供的灰阶电压写入所述第二面板20的各列辅像素。
在该实现方案中，通过一块屏幕驱动板可以实现同时对第一面板10和第二面板20的驱动控制。
其中，时序控制信号包括行驱动电路移位寄存器位移起始脉冲信号(STV)、行驱动电路移位寄存器触发脉冲信号(CKV)、列驱动电路移位寄存器位移起始脉冲信号(STH)、源极驱动电路移位寄存器触发脉冲信号(CKH)、极性反转控制信号(POL)。行驱动信号包括栅极高电平信号(VGH)和栅极低电平信号 (VGL)。
如图14所示，电压转换电路502还与时序控制器501连接，电压转换电路502还能够产生电源电压信号(VDD)，并将电源电压信号提供给时序控制器501。该电源电压信号还可以提供给前述第一列驱动电路70和第二列驱动电路90。
示例性地，电压转换电路502输入的电源通常为12V或5V电源。
本领域普通技术人员可以理解实现上述实施例的全部或部分步骤可以通过硬件来完成，也可以通过程序来指令相关的硬件完成，所述的程序可以存储于一种计算机可读存储介质中，上述提到的存储介质可以是只读存储器，磁盘或光盘等。
以上所述仅为本公开的可选实施例，并不用以限制本公开，凡在本公开的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本公开的保护范围之内。

Claims (21)

  1. 一种灰阶数据确定方法，应用于叠屏显示设备，所述叠屏显示设备包括重叠的第一面板和第二面板，所述第一面板包括主像素，所述第二面板包括辅像素，所述第一面板的第一边缘在所述第二面板的显示面的正投影，位于所述第二面板的显示面之外，其特征在于，所述方法包括：
    获取源图像，所述源图像包括多个像素点；
    分别计算第一像素点的各个通道值与第二像素点的对应颜色的通道值的加权值，得到第三像素点的像素值，所述第一像素点为所述源图像中与所述第一边缘对应的像素点，所述第二像素点为所述源图像中与所述第一像素点相邻的像素点；
    采用所述第三像素点的像素值替换所述源图像中的第二像素点的像素值，得到第一图像；
    基于所述第一图像，确定所述第一面板的灰阶数据和第二面板的灰阶数据，所述第一面板的灰阶数据包括所述主像素的灰阶值，所述第二面板的灰阶数据包括所述辅像素的灰阶值。
  2. 根据权利要求1所述的方法，其特征在于，所述分别计算第一像素点的各个通道值与第二像素点的对应颜色的通道值的加权值，包括：
    基于叠屏错位大小确定所述第一像素点的权重和所述第二像素点的权重，所述叠屏错位大小越大，所述第一像素点的权重越小，所述第二像素点的权重越大；其中，所述叠屏错位大小是指正投影位于所述第二面板的显示面之外的所述主像素的排数，每一排所述主像素的排列方向平行于所述第一面板的第一边缘；
    基于所述第一像素点的权重和所述第二像素点的权重，计算所述第一像素点的各个通道值与所述第二像素点的对应颜色的通道值的加权值。
  3. 根据权利要求2所述的方法，其特征在于，所述第二像素点的排数和所述第三像素点的排数相同；
    当所述第三像素点的排数大于1时，计算不同排的所述第三像素点的像素值所使用的权重不同。
  4. 根据权利要求2所述的方法，其特征在于，所述方法还包括：
    在所述第一面板的第一位置显示第一图形；
    在所述第二面板的第二位置显示第二图形，在所述第一面板和所述第二面板未发生错位时，所述第一位置和所述第二位置至少部分相对；
    基于所述第一图形的亮度，确定所述第一面板和所述第二面板的叠屏错位大小。
  5. 根据权利要求1所述的方法，其特征在于，基于所述第一图像，确定所述第二面板的灰阶数据，包括：
    从所述第一图像中提取像素点的三个通道中的最大灰阶，得到所述第二面板的第一灰阶数据；
    基于叠屏错位大小，对所述第一灰阶数据进行移位，得到所述第二面板的第二灰阶数据，所述叠屏错位大小越大，移位的大小越大；其中，所述叠屏错位大小是指正投影位于所述第二面板的显示面之外的所述主像素的排数；
    基于所述第二灰阶数据，计算所述辅像素与周围若干辅像素的灰阶值的加权值，得到所述第二面板的第三灰阶数据。
  6. 根据权利要求5所述的方法，其特征在于，所述基于叠屏错位大小，对所述第一灰阶数据进行移位，得到所述第二面板的第二灰阶数据，包括：
    确定所述叠屏错位大小大于或等于1排主像素的第一边缘；
    沿朝向所述第一边缘的方向对所述第一灰阶数据进行平移，移位的大小等于所述叠屏错位大小的整数部分。
  7. 根据权利要求6所述的方法，其特征在于，所述沿朝向所述第一边缘的方向对所述第一灰阶数据进行平移，包括：
    在所述第一灰阶数据的第一排数据前增加至少一排数据位；
    将所述第一灰阶数据沿朝向所述第一边缘的方向平移，使所述至少一排数据位被填充，且所述第一灰阶数据的最后空出至少一排数据位；
    采用所述第一灰阶数据的最后至少一排数据填充最后空出的所述至少一排数据位。
  8. 根据权利要求5所述的方法，其特征在于，所述第一面板和所述第二面板的分辨率相同，所述基于所述第二灰阶数据，计算所述辅像素与周围若干辅像素的灰阶值的加权值，得到所述第二面板的第三灰阶数据，包括：
    采用所述第二灰阶数据作为待计算灰阶数据；
    计算所述待计算灰阶数据中所述辅像素对应的灰阶均值和所述辅像素对应 的最大灰阶值的加权值，得到第三灰阶数据；其中，所述辅像素对应的灰阶均值是所述辅像素第一范围内的多个第一辅像素的灰阶均值，和所述辅像素对应的最大灰阶值是所述辅像素第二范围内的多个第二辅像素的最大灰阶值，所述第一范围和所述第二范围相同或不同，且至少一个所述第一辅像素与所述第二辅像素重合或者任一个所述第一辅像素均不与所述第二辅像素重合。
  9. 根据权利要求5所述的方法，其特征在于，所述第一面板和所述第二面板的分辨率不同，所述基于所述第二灰阶数据，计算所述辅像素与周围若干辅像素的灰阶值的加权值，得到所述第二面板的第三灰阶数据，包括：
    计算所述辅像素影响的多个所述主像素的灰阶均值和最大值的加权值，得到待计算灰阶数据；
    计算所述待计算灰阶数据中所述辅像素对应的灰阶均值和所述辅像素对应的最大灰阶值的加权值，得到第三灰阶数据；其中，所述辅像素对应的灰阶均值是所述辅像素第一范围内的多个第一辅像素的灰阶均值，和所述辅像素对应的最大灰阶值是所述辅像素第二范围内的多个第二辅像素的最大灰阶值，所述第一范围和所述第二范围相同或不同，且至少一个所述第一辅像素与所述第二辅像素重合或者任一个所述第一辅像素均不与所述第二辅像素重合。
  10. 根据权利要求8或9所述的方法，其特征在于，计算所述待计算灰阶数据中所述辅像素对应的灰阶均值和所述辅像素对应的最大灰阶值的加权值，包括：
    采用第一滤波器对所述辅像素第一范围内辅像素进行滤波，选中并计算所述多个第一辅像素的灰阶均值；
    采用第二滤波器对所述辅像素第二范围内辅像素进行滤波，选中并确定所述多个第二辅像素的最大灰阶值；
    计算所述多个第一辅像素的灰阶均值和所述多个第二辅像素的最大灰阶值的加权值。
  11. 根据权利要求10所述的方法，其特征在于，所述第一滤波器和所述第二滤波器的大小均为3×3。
  12. 根据权利要求5所述的方法，其特征在于，基于所述第一图像，确定所述第二面板的灰阶数据，还包括：
    获取灰阶映射表；
    利用灰阶映射表将所述第三灰阶数据映射为第四灰阶数据；
    其中，若所述第一面板和所述第二面板的分辨率相同，则所述第四灰阶数据的灰阶值不小于所述第三灰阶数据中的对应灰阶值；若所述第一面板和所述第二面板的分辨率不同，则当所述灰阶值超过阈值时，所述第四灰阶数据的灰阶值不小于所述第三灰阶数据中的对应灰阶值。
  13. 根据权利要求12所述的方法，其特征在于，在所述灰阶映射表中，所述第三灰阶数据的灰阶值分为连续的多个第一范围，所述第四灰阶数据的灰阶值分为连续的且与所述多个第一范围一一对应的多个第二范围；
    利用灰阶映射表将所述第三灰阶数据映射为第四灰阶数据，包括：
    基于所述第一面板和所述第二面板的分辨率，确定灰阶映射表；
    确定所述第三灰阶数据中的灰阶值在所述灰阶映射表中所处第一范围；
    在所述灰阶映射表中确定所述第一范围对应的所述第二范围；
    根据确定出的所述第二范围的端点进行线性插值，确定出所述第三灰阶数据中的灰阶值对应的所述第四灰阶数据中的灰阶值。
  14. 根据权利要求13所述的方法，其特征在于，所述第一面板的分辨率为4K或8K，所述第二面板的分辨率为4K；
    所述第一面板的分辨率不同，对应的所述灰阶映射表不同。
  15. 根据权利要求12所述的方法，其特征在于，基于所述第一图像，确定所述第二面板的灰阶数据，还包括：
    基于所述第四灰阶数据，检测所述第二面板是否存在异常辅像素，所述异常辅像素显示呈亮线或暗线；
    若所述第二面板存在异常辅像素，则基于所述异常辅像素两侧的辅像素的灰阶值，对所述第四灰阶数据进行补偿，得到补偿后的第四灰阶数据。
  16. 根据权利要求15所述的方法，其特征在于，所述基于所述第四灰阶数据，检测所述第二面板是否存在异常辅像素，包括：
    基于待检测辅像素和相邻辅像素的灰阶值，确定所述待检测辅像素处是否存在单像素亮线或者双像素亮线或者三像素亮线；
    以及，基于待检测辅像素和相邻辅像素的灰阶值，确定所述待检测辅像素处是否存在单像素暗线或者双像素暗线或者三像素暗线。
  17. 根据权利要求1至16任一项所述的方法，其特征在于，基于所述第一图 像，确定所述第一面板的灰阶数据，包括：
    基于所述第二面板的灰阶数据，确定所述主像素对应的一组所述辅像素的灰阶加权值，得到第五灰阶数据；
    基于所述第五灰阶数据和所述第一图像，确定所述第一面板的灰阶数据。
  18. 一种灰阶数据确定装置，其特征在于，应用于叠屏显示设备，所述叠屏显示设备包括重叠的第一面板和第二面板，所述第一面板包括主像素，所述第二面板包括辅像素，所述第一面板的第一边缘在所述第二面板的显示面的正投影，位于所述第二面板的显示面之外，其特征在于，所述装置包括：
    获取模块，被配置为获取源图像，所述源图像包括多个像素点；
    计算模块，被配置为分别计算第一像素点的各个通道值与第二像素点的对应颜色的通道值的加权值，得到第三像素点的像素值，所述第一像素点为所述源图像中与所述第一边缘对应的像素点，所述第二像素点为所述源图像中与所述第一像素点相邻的像素点；
    替换模块，被配置为采用所述第三像素点的像素值替换所述源图像中的第二像素点的像素值，得到第一图像；
    处理模块，被配置为基于所述第一图像，确定所述第一面板的灰阶数据和第二面板的灰阶数据，所述第一面板的灰阶数据包括所述主像素的灰阶值，所述第二面板的灰阶数据包括所述辅像素的灰阶值。
  19. 一种计算机设备，其特征在于，所述计算机设备包括处理器和存储器；
    其中，所述存储器，用于存储计算机程序；
    所述处理器，用于执行所述存储器中存放的计算机程序，以实现权利要求1至17任一所述的灰阶数据确定方法。
  20. 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质中存储有计算机指令，存储的所述计算机指令被处理器执行时能够实现如权利要求1至17任一所述的灰阶数据确定方法。
  21. 一种屏幕驱动板，其特征在于，所述屏幕驱动板包括：
    时序控制器，被配置为基于源图像，按照权利要求1至17任一项所述的方法确定所述第一面板的灰阶数据和所述第二面板的灰阶数据；并产生所述第一面板的时序控制信号和所述第二面板的时序控制信号；
    电压转换电路，被配置为基于电源产生基准电压信号和行驱动信号；
    灰阶电压产生电路，与所述电压转换电路连接，被配置为基于所述基准电压信号，产生所述第一面板的主像素和所述第二面板的辅像素的各个灰阶所需的灰阶电压；
    其中，所述第一面板的时序控制信号和所述行驱动信号被提供给所述第一面板的行驱动电路，所述第二面板的时序控制信号和所述行驱动信号被提供给所述第二面板的行驱动电路，所述第一面板的灰阶数据、所述第一面板的时序控制信号和所述第一面板的主像素各个灰阶所需的灰阶电压被提供给所述第一面板的列驱动电路，所述第二面板的灰阶数据、所述第二面板的时序控制信号和所述第二面板的辅像素各个灰阶所需的灰阶电压被提供给所述第二面板的列驱动电路。
PCT/CN2021/110837 2020-09-16 2021-08-05 灰阶数据确定方法、装置、设备及屏幕驱动板 WO2022057495A1 (zh)

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