WO2020098624A1 - 显示方法、装置、vr显示装置、设备及存储介质 - Google Patents

显示方法、装置、vr显示装置、设备及存储介质 Download PDF

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Publication number
WO2020098624A1
WO2020098624A1 PCT/CN2019/117395 CN2019117395W WO2020098624A1 WO 2020098624 A1 WO2020098624 A1 WO 2020098624A1 CN 2019117395 W CN2019117395 W CN 2019117395W WO 2020098624 A1 WO2020098624 A1 WO 2020098624A1
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Prior art keywords
image area
compression ratio
pixel
image
display
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PCT/CN2019/117395
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English (en)
French (fr)
Inventor
刘炳鑫
郭子强
孙剑
訾峰
孙宾华
林琳
王亚坤
邵继洋
丁亚东
范清文
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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Application filed by 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 filed Critical 京东方科技集团股份有限公司
Priority to US16/768,117 priority Critical patent/US11321812B2/en
Publication of WO2020098624A1 publication Critical patent/WO2020098624A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformation in the plane of the image
    • G06T3/40—Scaling the whole image or part thereof
    • 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
    • G09G3/001—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes using specific devices not provided for in groups G09G3/02 - G09G3/36, e.g. using an intermediate record carrier such as a film slide; Projection systems; Display of non-alphanumerical information, solely or in combination with alphanumerical information, e.g. digital display on projected diapositive as background
    • G09G3/003—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes using specific devices not provided for in groups G09G3/02 - G09G3/36, e.g. using an intermediate record carrier such as a film slide; Projection systems; Display of non-alphanumerical information, solely or in combination with alphanumerical information, e.g. digital display on projected diapositive as background to produce spatial visual effects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00—Manipulating 3D models or images for computer graphics
    • G06T19/006—Mixed reality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2340/00—Aspects of display data processing
    • G09G2340/04—Changes in size, position or resolution of an image
    • G09G2340/0407—Resolution change, inclusive of the use of different resolutions for different screen areas
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2340/00—Aspects of display data processing
    • G09G2340/04—Changes in size, position or resolution of an image
    • G09G2340/0407—Resolution change, inclusive of the use of different resolutions for different screen areas
    • G09G2340/0428—Gradation resolution change
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2350/00—Solving problems of bandwidth in display systems

Definitions

  • the present disclosure generally relates to the field of display, and particularly relates to display methods, devices, VR display devices, equipment, and storage media.
  • Virtual reality (Virtual Reality, VR) devices rely on their powerful resources and display capabilities to give the experience to the immersive immersion of the experience. With the continuous improvement of resolution, the contradiction between data volume and bandwidth is increasingly prominent. Excessive amount of data when experiencing high-definition resources has a bad experience effect on users, such as excessive delay and picture freeze.
  • the present disclosure provides a display method, device, VR display device, equipment, and storage medium.
  • At least one embodiment of the present disclosure provides a display method.
  • the method includes:
  • For the image area determine the grayscale information of the image area
  • the image of the image area is displayed according to the resolution compression ratio of the image area.
  • the determining the grayscale information of the image area for the image area includes:
  • the average gray level of each image area is determined according to the gray level of each pixel as the gray scale information of the image area.
  • the determining the grayscale information of the image area for the image area includes:
  • the highest gray level among the gray levels of each pixel is taken as the gray level information of the image area.
  • the determining the resolution compression ratio of the image area based on the grayscale information of the image area includes:
  • the resolution compression ratio corresponding to the gray scale of the image area is determined.
  • each of the gray scales corresponds to multiple consecutive gray levels.
  • the displaying the image of the image area according to the resolution compression ratio of the image area includes:
  • the outputting display data corresponding to the resolution compression ratio of the image area to each column of pixel units corresponding to the image area includes:
  • the same display data is output to at least two columns of adjacent pixel units corresponding to the image area.
  • the segmentation of the one-frame image into at least one image area includes:
  • a frame of image is divided into multiple regions at equal intervals according to rows and columns, and the multiple regions are arranged in an array.
  • An image segmentation unit configured to segment a frame of image into at least one image area
  • a grayscale determination unit configured to determine grayscale information of the image area for the image area
  • the compression ratio determining unit is configured to determine the resolution compression ratio of the image area based on the grayscale information of the image area, and the grayscale of the image area is inversely related to the resolution compression ratio;
  • the display unit is configured to display the image of the image area according to the resolution compression ratio of the image area.
  • the grayscale determination unit includes:
  • the pixel grayscale determination subunit is configured to determine the grayscale of each pixel based on the grayscale of each channel of the pixel in the image area and the weight of each channel;
  • the average gray level determining subunit is configured to determine the average gray level of each image area according to the gray level of each pixel for the image area, as gray scale information of the image area.
  • the grayscale determination unit includes:
  • the pixel grayscale determination subunit is configured to determine the grayscale of each pixel based on the grayscale of each channel of the pixel in the image area and the weight of each channel;
  • the highest gray level determining subunit is configured to use the highest gray level among the gray levels of each pixel as the gray level information of the image area for the image area.
  • the compression ratio determination unit includes:
  • a gray scale determination subunit configured to determine the gray scale of the image area based on the gray scale information
  • the resolution compression ratio determination subunit is configured to determine the resolution compression ratio corresponding to the gray scale file of the image area according to the relationship between the gray scale file and the resolution compression ratio.
  • each of the gray scales corresponds to multiple consecutive gray scales, and the gray scales corresponding to all the gray scales include all gray scales.
  • the display unit includes:
  • the display output sub-unit is configured for the display stage, and when scanning each row of pixel units corresponding to the image area, outputs a display corresponding to the resolution compression ratio of the image area to each column of pixel units corresponding to the image area data.
  • the display output subunit is configured to output the same display data for at least two columns of pixel units corresponding to the image area, the higher the gray level of the image area, the output The fewer the number of columns of pixel units of the same display data.
  • the image segmentation unit includes:
  • the sub-unit is evenly divided and configured to divide a frame of image into multiple regions at equal intervals according to rows and columns, and the multiple regions are arranged in an array.
  • At least one embodiment of the present disclosure provides a VR display device, characterized in that the VR display device is the display device provided in each embodiment of the present application.
  • At least one embodiment of the present disclosure provides a VR device, including: a processor; a memory for storing computer instructions; wherein the processor is configured to be able to implement the display method of the foregoing embodiments when the computer instructions are executed.
  • At least one embodiment of the present disclosure provides a computer-readable storage medium storing a computer program, which when executed by a processor implements the display method provided in the embodiments of the present application.
  • FIG. 1 shows an exemplary flowchart of a display method according to an embodiment of the present application
  • FIG. 2 shows an exemplary schematic diagram of image segmentation according to an embodiment of the present application
  • FIG. 3 shows an exemplary schematic diagram for displaying an image area A11 with a resolution compression ratio of 1/2 according to the present application
  • FIG. 4 shows an exemplary schematic diagram for displaying an image area A12 with a resolution compression ratio of 1/3 according to the present application
  • FIG. 5 shows an exemplary structural block diagram of a display device according to an embodiment of the present application
  • FIG. 6 is a structural block diagram of a VR device 300 provided by an embodiment of the present disclosure.
  • the human visual system is the best image processing system in the world, but it is far from perfect.
  • the human eye's perception of the image is non-uniform and non-linear, and not any changes in the image can be perceived.
  • the human eye resolution has the following characteristics: 1When the background brightness is too strong or too weak, the human eye resolution decreases; 2The human eye's resolution of color details is worse than the resolution of brightness details, if the black and white resolution Is 1, black and red are 0.4, and green and blue are 0.19. It shows that the human eye has different resolutions for different gray levels. Generally, the higher the gray level, the better the resolution of the human eye, and the lower the gray level, the worse the resolution of the human eye.
  • this application divides a frame of images into regions and extracts the gray levels of each region, and then quantizes the gray levels of different regions after quantization. Assign different resolution display schemes to each gray level. Thereby reducing the transmission amount of display data and improving the utilization rate of transmission bandwidth.
  • FIG. 1 shows an exemplary flowchart of a display method according to an embodiment of the present application.
  • FIG. 2 shows an exemplary schematic diagram of image segmentation according to an embodiment of the present application.
  • Step S10 divide a frame of image into at least one image area
  • Step S20 For each image area, determine the grayscale information of each image area;
  • Step S30 Determine the resolution compression ratio of each image area according to the gray information of each image area, and the gray level of the image area is inversely related to the resolution compression ratio;
  • the negative correlation means that the larger the gray level of the image area, the smaller the resolution compression ratio.
  • the gray level of the image area and the resolution compression ratio may have a linear relationship, that is, the two are inversely proportional; the gray level of the image area and the resolution compression ratio may also have a nonlinear relationship, which is not limited in this disclosure.
  • Step S40 Display the images of each image area according to the resolution compression ratio of each image area.
  • the resolution compression ratio of each image area is determined through the grayscale information of each image area, and the display is performed, which can solve the problem of screen freeze or dizziness caused by the large amount of display data in the traditional display .
  • step S10 a frame of image is divided into several regions at equal intervals according to rows and columns.
  • a frame of image is divided into multiple areas at equal intervals of rows and columns, and the multiple areas are arranged in an array.
  • the image A of one frame is divided into image regions of 4 rows and 4 columns, including 16 image regions of A11 to A44.
  • the number of different rows and columns can be divided according to the size of the image. Here are no more examples.
  • step S20 the image A is subjected to GRB three-element separation to determine the gray level of each pixel. That is, the gray level of each pixel is determined based on the gray level of each channel of each pixel in the image and the weight of each channel. For example, each pixel includes three elements, R, G, and B, and obtains the gray levels of R, G, and B, respectively, and calculates the gray level of the pixel according to the following formula: Gary:
  • R is the gray level of the red element in the pixel
  • G is the gray level of the green element in the pixel
  • B is the gray level of the blue element in the pixel.
  • 0.30, 0.59, and 0.11 are the weights of the R, G, and B color channels, respectively.
  • the average gray level of the image area can be determined as the gray information of the image area.
  • each pixel includes an RGB channel.
  • each pixel may also include an RGBW channel.
  • the channel here refers to a color channel, and each pixel can separate multiple channels corresponding to sub-pixels on the display panel.
  • the highest gray level among the gray levels of each pixel is taken as the gray level information of the image area.
  • the average gray level or the highest gray level determined in the foregoing is a non-integer, a rounding operation is performed and then used as the gray level information of the image area.
  • step S30 first, a gray scale of the image gray scale and the resolution compression ratio of each gray scale are set.
  • the gray level here is also the gray level.
  • Each gray level corresponds to multiple consecutive gray levels, and the gray levels corresponding to all gray levels include all gray levels.
  • all gray scales equally divide all gray scales.
  • the gear information of the gray scale file can be set in advance and stored in the display device for use in subsequent image display.
  • image A is an image with a gray level of 0 to 255.
  • all grayscale files can also be divided in an uneven manner, for example, 256 grayscale levels are divided into 4 grayscale files: [0-80], [81-140] , [141-200], [201-255].
  • the grayscale file of the pixel area is determined, and then the resolution compression ratio of each image area is determined.
  • this step 30 may include: determining the gray scale of each image area according to the gray scale information; determining the resolution corresponding to the gray scale of each image area according to the relationship between the gray scale and the resolution compression ratio Compression ratio.
  • step S40 in the display stage, display data corresponding to the resolution compression ratio of the image area is output to each column of pixel units corresponding to each image area, and outputting display data corresponding to the resolution compression ratio means that at least two columns are immediately adjacent The pixel unit outputs the same display data.
  • the line scan driver selects the current effective pixel row, and the display driver outputs the corresponding display data to the effective pixel row. Therefore, the display can be performed by outputting the same display data to the pixel cells in the next few columns.
  • outputting display data corresponding to the resolution compression ratio of the image area to each column of pixel units corresponding to the image area may include: outputting the same to the pixel units adjacent to at least two columns corresponding to the image area For display data, the higher the gradation of the image area, the fewer the number of columns of pixel units that output the same display data.
  • the display data of the image area may not be compressed. At this time, the display data is output to each column of pixel units corresponding to the image area.
  • FIG. 3 shows an exemplary schematic diagram of the display of the image area A11 with a resolution compression ratio of 1/2 according to the present application.
  • the resolution compression ratio of the image area A11 is 2: 1
  • the image of the image area 11 is displayed in the pixel unit including 7 rows and 8 columns.
  • the same display data is output.
  • the corresponding display data is M1 and M2.
  • one of the M1 and M2 display data is output to the H1 pixel column and the H2 pixel column, and the M1 output is selected in the figure.
  • one of the display data M3 and M4 is output to the H3 pixel column and the H4 pixel column, and the M3 output is selected in the figure; one display data of the display data M5 and M6 is listed to the H5 pixel column and H6 pixel Select M5 output in the figure; output one display data of M7 and M8 to H7 pixel column and H8 pixel column respectively, select M7 output in the figure. Therefore, during display driving, the amount of data transferred is reduced by half. On the basis of not affecting the user experience, the utilization rate of bandwidth is effectively improved.
  • FIG. 4 shows an exemplary schematic diagram of the display of the image area A12 with a resolution compression ratio of 1/3 according to the present application.
  • the resolution compression ratio of the image area A12 is 3: 1, and the image of the image area 12 is displayed in the pixel unit including 7 rows and 8 columns.
  • the same display data is output.
  • the corresponding display data is M1, M2, and M3.
  • M1, M2, and M3 is output to the H1 pixel column, H2 pixel column, and H3 pixel column It is enough to display the data.
  • select the M1 output that is, the display data of the H1 pixel column, H2 pixel column and H3 pixel column are the same.
  • only two pixel columns H7 and H8 output display data M7 because the number of pixel columns is limited. For an image area, the total number of pixel columns is different. The number of pixel columns that output the same display data in the last few columns may be different.
  • the image area includes only H1 to H7 pixel columns, only the H7 pixel column is the last output display data M7. Therefore, when the display is driven, the amount of data transferred is reduced by nearly 2/3. On the basis of not affecting the user experience, the utilization rate of bandwidth is effectively improved.
  • the foregoing method steps are to perform processing on each image area divided by one frame image.
  • this method can also perform the above processing only on a part of the image area divided by one frame image, which can also reduce data transmission To improve bandwidth utilization.
  • the present application also provides a display device.
  • FIG. 5 shows an exemplary structural block diagram of a display device 200 according to an embodiment of the present application.
  • the device includes:
  • the image segmentation unit 210 is configured to segment a frame of image into at least one image area
  • the grayscale determining unit 220 is configured to determine the grayscale information of each image area for each image area;
  • the compression ratio determination unit 230 is configured to determine the resolution compression ratio of each image area based on the grayscale information of each image area, and the grayscale of the image area is inversely related to the resolution compression ratio;
  • the display unit 240 is configured to display the images of each image area according to the resolution compression ratio of each image area.
  • the image segmentation unit 210 includes:
  • the uniform division sub-unit 211 is configured to divide an image of a frame into several regions at equal intervals according to rows and columns. For example, a frame of image is divided into multiple areas at equal intervals of rows and columns, and multiple areas are arranged in an array.
  • the grayscale determination unit 220 includes:
  • the pixel grayscale determination subunit 221 is configured to determine the GRB three-element separation of the image to determine the grayscale of each pixel; for example, based on the grayscale of each channel and the Weight, determine the gray level of each pixel;
  • the average gray level determining sub-unit 222 is configured to determine the average gray level of the image area according to the gray level of each pixel for each image area as the gray level information of the image area.
  • the gray level determining unit 220 includes:
  • the pixel grayscale determination subunit 221 is configured to perform GRB three-element separation on the image to determine the grayscale of each pixel; for example, the grayscale of each channel and each channel based on each pixel in the image The weight of each pixel to determine the gray level of each pixel;
  • the highest gray level determining subunit 223 is configured to use the highest gray level among the gray levels of each pixel as the gray level information of the image area for each image area.
  • the compression ratio determination unit 230 includes:
  • the gray level determination subunit 231 is configured to determine the gray level of each image area according to the gray level information
  • the resolution compression ratio determination subunit 231 is configured to determine the resolution compression ratio corresponding to the gray scale of each image area according to the relationship between the gray scale and the resolution compression ratio.
  • it also includes:
  • the gray scale dividing subunit 250 is configured to divide the gray scale of the image into several gray scales
  • the resolution compression ratio configuration unit 260 is configured to set the resolution compression ratio for each gray scale file.
  • each gray scale corresponds to multiple consecutive gray levels, and all gray scales equally divide all gray levels.
  • the display unit 240 includes:
  • the display output sub-unit 241 is configured for the display stage, and outputs display data corresponding to the resolution compression ratio of the image area to each column of pixel units corresponding to each image area. Outputting display data corresponding to the resolution compression ratio means that at least Pixel cells in two columns next to each other output the same display data.
  • the display output subunit is configured for the display stage, and when the pixel units of each row corresponding to the image area are scanned, the resolution compression ratio corresponding to the image area is output to each column of pixel units corresponding to the image area Display data.
  • the display output sub-unit is configured to output the same display data for at least two adjacent pixel units corresponding to the image area. The higher the gray level of the image area, the fewer the number of pixel units that output the same display data.
  • the implementation of the aforementioned device is to perform processing on each image area divided by one frame of the image.
  • the device can also perform the above processing only on a part of the image area divided by one frame of image, which can also reduce data Transmission, improve bandwidth utilization.
  • the present application also provides a VR display device.
  • the VR display device includes the display devices provided in the embodiments of the present application.
  • FIG. 6 is a structural block diagram of a VR device 300 provided by an embodiment of the present disclosure.
  • the device 300 includes a processor 301 and a memory 302.
  • the processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on.
  • the processor 301 may adopt at least one hardware form of DSP (Digital Signal Processing, digital signal processing), FPGA (Field-Programmable Gate Array), PLA (Programmable Logic Array). achieve.
  • the processor 301 may also include a main processor and a coprocessor.
  • the main processor is a processor for processing data in a wake-up state, also known as a CPU (Central Processing Unit, central processing unit); the coprocessor is A low-power processor for processing data in the standby state.
  • the processor 301 may be integrated with a GPU (Graphics Processing Unit, image processor), and the GPU is used to render and draw content that needs to be displayed on the display screen.
  • the processor 301 may further include an AI (Artificial Intelligence, Artificial Intelligence) processor, which is used to process computing operations related to machine learning.
  • AI Artificial Intelligence, Artificial Intelligence
  • the memory 302 may include one or more computer-readable storage media, which may be non-transitory.
  • the memory 302 may also include high-speed random access memory, as well as non-volatile memory, such as one or more disk storage devices and flash storage devices.
  • the non-transitory computer-readable storage medium in the memory 302 is used to store at least one instruction for execution by the processor 301 to implement the display method provided by the method embodiment in the present application .
  • the device 300 may optionally further include: a peripheral device interface 303 and at least one peripheral device.
  • the processor 301, the memory 302, and the peripheral device interface 303 may be connected by a bus or a signal line.
  • Each peripheral device may be connected to the peripheral device interface 303 through a bus, a signal line, or a circuit board.
  • FIG. 6 does not constitute a limitation on the device 300, and may include more or fewer components than shown, or combine certain components, or adopt different component arrangements.
  • the present application also provides a computer-readable storage medium, which may be a computer-readable storage medium included in the device described in the foregoing embodiments; or may exist alone, not A computer-readable storage medium assembled into the device.
  • the computer-readable storage medium stores one or more programs that are used by one or more processors to execute the training method of the text classification model described in this application, or that the programs are processed by one or more
  • the device is used to execute the display method described in this application.
  • each block in the flowchart or block diagram may represent a module, program segment, or part of code that contains one or more logics for implementing prescribed logic Function executable instructions.
  • the functions noted in the block may occur out of the order noted in the figures. For example, two blocks represented in succession may actually be executed in parallel, and they may sometimes be executed in reverse order, depending on the functions involved.
  • each block in the block diagram and / or flowchart, and a combination of blocks in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs the specified function or operation Or, it can be realized by a combination of dedicated hardware and computer instructions.

Abstract

一种显示方法、装置、VR显示装置、设备及存储介质。该显示方法包括：将一帧图像分割为至少一个图像区域（S10）；针对图像区域，确定图像区域的灰度信息（S20）；根据图像区域的灰度信息，确定图像区域的分辨率压缩比例（S30），图像区域的灰度级与分辨率压缩比例负相关；根据各图像区域的分辨率压缩比例，显示图像区域的图像（S40）。通过各图像区域灰度信息确定各图像区域分辨率压缩比例，并进行显示，能够解决传统显示中显示数据量庞大而引起的画面卡顿或眩晕的问题。

Description

显示方法、装置、VR显示装置、设备及存储介质
本申请要求于2018年11月16日提交的申请号为201811374101.X、发明名称为“显示方法、装置、VR显示装置及存储介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本公开一般涉及显示领域，尤其涉及显示方法、装置、VR显示装置、设备及存储介质。
背景技术
虚拟现实(Virtual Reality，VR)设备依靠其强大的资源及显示能力让体验者产生身临其境的沉浸感，伴随着分辨率不断提升，数据量与带宽的矛盾日益突出。在体验高清资源时过大的数据量对用户产生了如延迟过大、画面卡顿等不良的体验效果。
目前在分体机中，依靠实体高清多媒体接口(High Definition Multimedia Interface，HDMI)线缆的存在，使得VR设备或多或少地规避掉这一短板。但在有线缆束缚的条件下，不可避免的造成用户移动距离短、行动不便等问题，且时刻存在被线缆绊倒甚至其他潜在风险。
随着无线传输方案的提出，基于VR分体机与个人电脑(Personal Computer，PC)无线通信的方法已解决实体线缆的限制，但目前仍存在延时过大眩晕感较强的问题。因此综合来看，降低数据量提升带宽利用率是VR设备目前亟待解决的技术问题。
发明内容
本公开提供一种显示方法、装置、VR显示装置、设备及存储介质。
本公开至少一实施例提供一种显示方法，所述方法包括：
将一帧图像分割为至少一个图像区域；
针对所述图像区域，确定所述图像区域的灰度信息；
根据所述图像区域的所述灰度信息，确定所述图像区域的分辨率压缩比例， 所述图像区域的灰度级与分辨率压缩比例负相关；
根据所述图像区域的分辨率压缩比例，显示所述图像区域的图像。
在一个或者多个实施例中，所述针对所述图像区域，确定所述图像区域的灰度信息包括：
基于所述图像区域中像素点的各通道的灰度级及各通道的权重，确定各像素点的灰度级；
针对所述图像区域，根据各像素点的所述灰度级，确定各该图像区域的平均灰度级，作为该图像区域的灰度信息。
在一个或者多个实施例中，所述针对所述图像区域，确定所述图像区域的灰度信息包括：
基于所述图像区域中像素点的各通道的灰度级及各通道的权重，确定各像素点的灰度级；
针对所述图像区域，将各像素点的所述灰度级中最高灰度级作为该图像区域的灰度信息。
在一个或者多个实施例中，所述根据所述图像区域所述灰度信息，确定所述图像区域的分辨率压缩比例包括：
根据所述灰度信息，确定所述图像区域的灰度档；
根据灰度档和分辨率压缩比例的关系，确定所述图像区域的灰度档对应的分辨率压缩比例。
在一个或者多个实施例中，每个所述灰度档对应多个连续的灰度级。
在一个或者多个实施例中，所述根据所述图像区域的分辨率压缩比例，显示所述图像区域的图像，包括：
在显示阶段，当扫描到所述图像区域对应的各行像素单元时，向与所述图像区域对应的各列像素单元输出对应所述图像区域的分辨率压缩比例的显示数据。
在一个或者多个实施例中，所述向与所述图像区域对应的各列像素单元输出对应所述图像区域的分辨率压缩比例的显示数据，包括：
向与所述图像区域对应的至少两列紧邻的像素单元输出相同的显示数据，所述图像区域的灰度越高，输出相同的显示数据的像素单元的列数越少。
在一个或者多个实施例中，所述一帧图像分割为至少一个图像区域包括：
将一帧图像根据行和列等间距分割为多个区域，所述多个区域阵列排布。
本公开至少一实施例提供一种显示装置，所述装置包括：
图像分割单元，配置用于将一帧图像分割为至少一个图像区域；
灰度确定单元，配置用于针对所述图像区域，确定所述图像区域的灰度信息；
压缩比确定单元，配置用于根据所述图像区域所述灰度信息，确定所述图像区域的分辨率压缩比例，所述图像区域的灰度级与分辨率压缩比例负相关；
显示单元，配置用于根据所述图像区域的分辨率压缩比例，显示所述图像区域的图像。
在一个或多个实施例中，所述灰度确定单元包括：
像素点灰度确定子单元，配置用于基于所述图像区域中像素点的各通道的灰度级及各通道的权重，确定各像素点的灰度级；
平均灰度确定子单元，配置用于针对所述图像区域，根据各像素点的所述灰度级，确定各该图像区域的平均灰度级，作为该图像区域的灰度信息。
在一个或多个实施例中，所述灰度确定单元包括：
像素点灰度确定子单元，配置用于基于所述图像区域中像素点的各通道的灰度级及各通道的权重，确定各像素点的灰度级；
最高灰度确定子单元，配置用于针对所述图像区域，将各像素点的所述灰度级中最高灰度级作为该图像区域的灰度信息。
在一个或多个实施例中，所述压缩比确定单元包括：
灰度档确定子单元，配置用于根据所述灰度信息，确定所述图像区域的灰度档；
分辨率压缩比例确定子单元，配置用于根据灰度档和分辨率压缩比例的关系，确定所述图像区域的灰度档对应的分辨率压缩比例。
在一个或多个实施例中，每个所述灰度档对应多个连续的灰度级，所有所述灰度档对应的灰度级包含所有灰度级。
在一个或多个实施例中，所述显示单元包括：
显示输出子单元，配置用于显示阶段，当扫描到所述图像区域对应的各行像素单元时，向与所述图像区域对应的各列像素单元输出对应所述图像区域的分辨率压缩比例的显示数据。
在一个或多个实施例中，所述显示输出子单元，配置用于与所述图像区域对应的至少两列紧邻的像素单元输出相同的显示数据，所述图像区域的灰度越 高，输出相同的显示数据的像素单元的列数越少。
在一个或多个实施例中，所述图像分割单元包括：
均匀分割子单元，配置用于将一帧图像根据行和列等间距分割为多个区域，所述多个区域阵列排布。
本公开至少一实施例提供一种VR显示装置，其特征在于，所述VR显示装置本申请各实施例中提供的所述显示装置。
本公开至少一实施例提供一种VR设备，包括：处理器；用于存储计算机指令的存储器；其中，所述处理器配置成在运行所述计算机指令时，能够实现前述实施例的显示方法。
本公开至少一实施例提供一种存储有计算机程序的计算机可读存储介质，该程序被处理器执行时实现本申请各实施例中提供的所述显示方法。
附图说明
图1示出了根据本申请实施例的显示方法的示例性流程图；
图2示出了根据本申请实施例的图像分割的示例性示意图；
图3示出了根据本申请分辨率压缩比例为1/2的图像区域A11显示的示例性示意图；
图4示出了根据本申请分辨率压缩比例为1/3的图像区域A12显示的示例性示意图；
图5示出了根据本申请实施例的显示装置的示例性结构框图；
图6是本公开实施例提供的一种VR设备300的结构框图。
具体实施方式
人眼的视觉系统是世界上最好的图像处理系统，但远远不是完美的。人眼的视觉对图像的认知是非均匀和非线性的，并不是图像中的任何变化都能感知。
当空间平面上两个黑点互相靠拢到一定程度时，离开黑点一定距离的观察者就无法区分他们，这意味着人眼分辨景物的细节能力是有限的，这个极限值就是分辨率。研究表明人眼分辨率有如下特点：①当背景亮度太强或太弱时，人眼分辨率降低；②人眼对色彩细节的分辨率比对亮度细节的分辨率要差，如果黑白分辨率为1，则黑红为0.4，绿蓝为0.19。说明，人眼对不同灰度级具有不同的分辨率，通常灰度级越高人眼的分辨能力越好，反之灰度级越低人眼的 分辨能力越差。
基于上述理论，本申请通过对一帧图像划分区域，并提取各区域灰度级，量化后对不同区域的灰度级分档。对每档灰度级分配不同的分辨率显示方案。从而降低了显示数据的传输量，提高了传输带宽利用率。
下面结合附图和实施例对本申请作进一步的详细说明。可以理解的是，此处所描述的具体实施例仅仅用于解释相关公开内容，而非对该申请的限定。另外还需要说明的是，为了便于描述，附图中仅示出了与本公开相关的部分。
需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互组合。下面将参考附图并结合实施例来详细说明本申请。
下面结合图1和图2，说明图像区域的显示方法。其中，图1示出了根据本申请实施例的显示方法的示例性流程图。图2示出了根据本申请实施例的图像分割的示例性示意图。
步骤S10：将一帧图像分割为至少一个图像区域；
步骤S20：针对每个图像区域，确定每个图像区域的灰度信息；
步骤S30：根据每个图像区域的灰度信息，确定每个图像区域的分辨率压缩比例，图像区域的灰度级与分辨率压缩比例负相关；
这里，负相关是指图像区域的灰度级越大，分辨率压缩比例越小。图像区域的灰度级与分辨率压缩比例可以呈线性关系，也即二者成反比；图像区域的灰度级与分辨率压缩比例也可以呈非线性关系，本公开对此不限定。
步骤S40：根据各图像区域的分辨率压缩比例，分别显示各个图像区域的图像。
根据本申请实施例所提供的技术方案，通过各图像区域灰度信息确定各图像区域分辨率压缩比例，并进行显示，能够解决传统显示中显示数据量庞大而引起的画面卡顿或眩晕的问题。
在步骤S10，将一帧图像根据行和列等间距分割为若干区域。
例如，将一帧图像根据行和列等间距分割为多个区域，这多个区域阵列排布。如图2所示，将一帧图像A划分为4行4列的图像区域，包含A11至A44的16个图像区域。当然实际应用中，可根据图像的大小进行不同行和列数量的划分。这里不再一一例举。
在步骤S20，对图像A进行GRB三元素分离，确定每个像素点的灰度级。也即基于图像中每个像素点的各通道的灰度级及各通道的权重，确定各像素点 的灰度级。例如，每个像素点包括R、G、B三个元素，分别获取R、G、B的灰度级，并根据如下公式，计算像素点灰度级Gary：
Gary＝0.30×R+0.59×G+0.11×B。
其中，R为像素点中红色元素的灰度级，G为像素点中绿色元素的灰度级，B为像素点中蓝色元素的灰度级。其中，0.30、0.59、0.11分别为R、G、B三个颜色的通道的权重。针对每个图像区域，并根据像素点的灰度级能够确定该图像区域的平均灰度级，作为该图像区域的灰度信息。
这里仅以每个像素点包括RGB通道为例，在其他实现方式中，每个像素点也可以包括RGBW通道等。
这里的通道是指颜色通道，每个像素点可以分离出与显示面板上的子像素对应的多个通道。
在一些实施例中，针对每个图像区域，将各像素点的所述灰度级中最高灰度级作为该图像区域的灰度信息。
这里，如果前述确定出的平均灰度级或最高灰度级为非整数，则进行取整操作，然后作为该图像区域的灰度信息。
在步骤S30，首先设定图像灰度级的灰度档和各灰度档的分辨率压缩比例。
这里的灰度级也即灰阶。每个灰度档对应多个连续的灰度级，所有灰度档对应的灰度级包含所有灰度级。例如，所有灰度档平分所有灰度级。灰度档的档位信息可以事先设定并存储在显示装置中，以便后续图像显示时使用。例如，图像A为灰度级为0～255的图像，设定64级为一档，将256个灰度级划分为4个灰度档：【0-63】、【64-127】、【128-191】、【192-255】，分别对应一级灰度档、二级灰度档、三级灰度档、四级灰度档，对应的分辨率压缩比例分别为4:1、3:1、2:1、1:1。实际应用中，可根据图像的特征设置不同的灰度档和分辨率压缩比例。这里不再一一例举。
在其他实现方式中，所有灰度档也可以按照不平均的方式分割所有灰度级，例如，将256个灰度级划分为4个灰度档：【0-80】、【81-140】、【141-200】、【201-255】。
之后，根据步骤S20中获得的各图像区域的平均灰度信息，确定该像素区域的灰度档，进而确定每个图像区域的分辨率压缩比例。
示例性地，该步骤30可以包括：根据灰度信息，确定每个图像区域的灰度档；根据灰度档和分辨率压缩比例的关系，确定每个图像区域的灰度档对应的 分辨率压缩比例。
在步骤S40，在显示阶段，向与每个图像区域对应的各列像素单元输出对应该图像区域分辨率压缩比例的显示数据，输出对应分辨率压缩比例的显示数据是指至少向两列紧邻的像素单元输出相同的显示数据。
显示阶段由行扫描驱动来选择当前有效像素行，再由显示驱动来向该有效像素行输出对应的显示数据。因此，可通过向紧邻的几列像素单元输出相同的显示数据的方式进行显示。
示例性地，在显示阶段，当扫描到所述图像区域对应的各行像素单元时，向与所述图像区域对应的各列像素单元输出对应所述图像区域的分辨率压缩比例的显示数据。
其中，向与所述图像区域对应的各列像素单元输出对应所述图像区域的分辨率压缩比例的显示数据，可以包括：向与所述图像区域对应的至少两列紧邻的像素单元输出相同的显示数据，图像区域的灰度越高，输出相同的显示数据的像素单元的列数越少。
如果图像区域的灰度档最高，则可以不对该图像区域的显示数据进行压缩，此时，向该图像区域对应的各列像素单元分别输出显示数据。
请参考图3，示出了根据本申请分辨率压缩比例为1/2图像区域A11的显示的示例性示意图。如图所示，图像区域A11的分辨率压缩比例为2:1，并在包含7行8列像素单元显示该图像区域11的图像，此时根据分辨率压缩比例向紧邻的每两列像素单元输出相同的显示数据。对于H1像素列和H2像素列而言，其对应的显示数据为M1和M2，压缩后向H1像素列和H2像素列输出M1和M2中的一个显示数据即可，图中选择M1输出。以此类推，向H3像素列和H4像素列输出显示数据M3和M4中的一个显示数据，图中选择M3输出；向H5像素列和H6像素列出显示数据M5和M6中的一个显示数据，图中选择M5输出；向H7像素列和H8像素列分别输出M7和M8中的一个显示数据，图中选择M7输出。因此，显示驱动时，传输的数据量减少了一半。在不影响用户体验的基础上有效提高了带宽的利用率。
请参考图4，示出了根据本申请分辨率压缩比例为1/3图像区域A12的显示的示例性示意图。如图所示，图像区域A12的分辨率压缩比例为3:1，并在包含7行8列像素单元显示该图像区域12的图像，此时根据分辨率压缩比例向紧邻的每三列像素单元输出相同的显示数据。对于H1像素列、H2像素列和H3像素 列而言，其对应的显示数据为M1、M2和M3，压缩后向H1像素列、H2像素列和H3像素列输出M1、M2和M3中的一个显示数据即可，图中选择M1输出，即H1像素列、H2像素列和H3像素列的显示数据相同。以此类推，向H4像素列、H5像素列和H6像素列输出M4、M5和M6中的一个显示数据即可，图中选择M4输出。向H7像素列和H8像素列输出M7和M8中的一个显示数据即可，图中选择M7输出。这里，只有H7和H8两个像素列输出显示数据M7是因为像素列的数量限制，对于一个图像区域，总像素列数不同，最后若干列输出相同显示数据的像素列的数量可能不同，例如，如果该图像区域只包括H1～H7像素列，则最后输出显示数据M7的仅为H7像素列。因此，显示驱动时，传输的数据量减少了近2/3。在不影响用户体验的基础上有效提高了带宽的利用率。
前述方法步骤是以对一帧图像分割出的每个图像区域均执行处理，在其他实现方式中，该方法也可以只针对一帧图像分割出的部分图像区域进行上述处理，同样可以减少数据传输，提高带宽利用率。
本申请还提供一种显示装置。
请参考图5，示出了根据本申请实施例的显示装置200的示例性结构框图。装置包括：
图像分割单元210，配置用于将一帧图像分割为至少一个图像区域；
灰度确定单元220，配置用于针对每个图像区域，确定每个图像区域的灰度信息；
压缩比确定单元230，配置用于根据每个图像区域的灰度信息，确定每个图像区域的分辨率压缩比例，图像区域的灰度级与分辨率压缩比例负相关；
显示单元240，配置用于根据各图像区域的分辨率压缩比例，分别显示各个图像区域的图像。
在一些实施例中，图像分割单元210包括：
均匀分割子单元211，配置用于将一帧图像根据行和列等间距分割为若干区域。例如，将一帧图像根据行和列等间距分割为多个区域，多个区域阵列排布。
在一些实施例中，灰度确定单元220包括：
像素点灰度确定子单元221，配置用于确定对图像进行GRB三元素分离，确定各像素点的灰度级；例如，基于图像中每个像素点的各通道的灰度级及各通道的权重，确定各像素点的灰度级；
平均灰度确定子单元222，配置用于针对每个图像区域，根据各像素点的灰度级，确定该图像区域的平均灰度级，作为该图像区域的灰度信息。
在一些实施例中，所述灰度确定单元220包括：
像素点灰度确定子单元221，配置用于对所述图像进行GRB三元素分离，确定各像素点的灰度级；例如，基于图像中每个像素点的各通道的灰度级及各通道的权重，确定各像素点的灰度级；
最高灰度确定子单元223，配置用于针对每个图像区域，将各像素点的所述灰度级中最高灰度级作为该图像区域的灰度信息。
在一些实施例中，压缩比确定单元230包括：
灰度档确定子单元231，配置用于根据灰度信息，确定各图像区域的灰度档；
分辨率压缩比例确定子单元231，配置用于根据灰度档和分辨率压缩比例的关系，确定各图像区域的灰度档对应的分辨率压缩比例。
在一些实施例中，还包括：
灰度档划分子单元250，配置用于将图像灰度级划分为若干灰度档；
分辨率压缩比例配置单元260，配置用于设定各灰度档的分辨率压缩比例。
示例性地，每个灰度档对应多个连续的灰度级，所有灰度档平分所有灰度级。
在一些实施例中，显示单元240包括：
显示输出子单元241，配置用于显示阶段，向与每个图像区域对应的各列像素单元输出对应该图像区域分辨率压缩比例的显示数据，输出对应分辨率压缩比例的显示数据是指至少向两列紧邻的像素单元输出相同的显示数据。
例如，显示输出子单元，配置用于显示阶段，当扫描到所述图像区域对应的各行像素单元时，向与所述图像区域对应的各列像素单元输出对应所述图像区域的分辨率压缩比例的显示数据。
显示输出子单元，配置用于与所述图像区域对应的至少两列紧邻的像素单元输出相同的显示数据，图像区域的灰度越高，输出相同的显示数据的像素单元的列数越少。
前述装置实现时是以对一帧图像分割出的每个图像区域均执行处理，在其他实现方式中，该装置也可以只针对一帧图像分割出的部分图像区域进行上述处理，同样可以减少数据传输，提高带宽利用率。
本申请还提供一种VR显示装置，VR显示装置包括本申请各实施例提供的 显示装置。
图6是本公开实施例提供的一种VR设备300的结构框图。通常，设备300包括有：处理器301和存储器302。
处理器301可以包括一个或多个处理核心，比如4核心处理器、8核心处理器等。处理器301可以采用DSP(Digital Signal Processing，数字信号处理)、FPGA(Field－Programmable Gate Array，现场可编程门阵列)、PLA(Programmable Logic Array，可编程逻辑阵列)中的至少一种硬件形式来实现。处理器301也可以包括主处理器和协处理器，主处理器是用于对在唤醒状态下的数据进行处理的处理器，也称CPU(Central Processing Unit，中央处理器)；协处理器是用于对在待机状态下的数据进行处理的低功耗处理器。在一些实施例中，处理器301可以在集成有GPU(Graphics Processing Unit，图像处理器)，GPU用于负责显示屏所需要显示的内容的渲染和绘制。一些实施例中，处理器301还可以包括AI(Artificial Intelligence，人工智能)处理器，该AI处理器用于处理有关机器学习的计算操作。
存储器302可以包括一个或多个计算机可读存储介质，该计算机可读存储介质可以是非暂态的。存储器302还可包括高速随机存取存储器，以及非易失性存储器，比如一个或多个磁盘存储设备、闪存存储设备。在一些实施例中，存储器302中的非暂态的计算机可读存储介质用于存储至少一个指令，该至少一个指令用于被处理器301所执行以实现本申请中方法实施例提供的显示方法。
在一些实施例中，设备300还可选包括有：外围设备接口303和至少一个外围设备。处理器301、存储器302和外围设备接口303之间可以通过总线或信号线相连。各个外围设备可以通过总线、信号线或电路板与外围设备接口303相连。
本领域技术人员可以理解，图6中示出的结构并不构成对设备300的限定，可以包括比图示更多或更少的组件，或者组合某些组件，或者采用不同的组件布置。
作为又一方面，本申请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可以是上述实施例中所述装置中所包含的计算机可读存储介质；也可以是单独存在，未装配入设备中的计算机可读存储介质。计算机可读存储介质存储有一个或者一个以上程序，所述程序被一个或者一个以上的处理器用来执行描述于本申请的文本分类模型的训练方法，或者，所述程序被一个或者一个 以上的处理器用来执行描述于本申请的显示方法。
附图中的流程图和框图，图示了按照本公开各种实施例的系统、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上，流程图或框图中的每个方框可以代表一个模块、程序段、或代码的一部分，所述模块、程序段、或代码的一部分包含一个或多个用于实现规定的逻辑功能的可执行指令。也应当注意，在有些作为替换的实现中，方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如，两个接连地表示的方框实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这依所涉及的功能而定。也要注意的是，框图和/或流程图中的每个方框、以及框图和/或流程图中的方框的组合，可以用执行规定的功能或操作的专用的基于硬件的系统来实现，或者可以用专用硬件与计算机指令的组合来实现。
以上描述仅为本申请的可选实施例以及对所运用技术原理的说明。本领域技术人员应当理解，本申请中所涉及的保护范围，并不限于上述技术特征的特定组合而成的技术方案，同时也应涵盖在不脱离所述发明构思的情况下，由上述技术特征或其等同特征进行任意组合而形成的其它技术方案。例如上述特征与本申请中公开的(但不限于)具有类似功能的技术特征进行互相替换而形成的技术方案。

Claims (19)

  1. 一种显示方法，包括：
    将一帧图像分割为至少一个图像区域；
    针对所述图像区域，确定所述图像区域的灰度信息；
    根据所述图像区域的所述灰度信息，确定所述图像区域的分辨率压缩比例，所述图像区域的灰度级与分辨率压缩比例负相关；
    根据所述图像区域的分辨率压缩比例，显示所述图像区域的图像。
  2. 根据权利要求1所述的显示方法，其中，所述针对所述图像区域，确定所述图像区域的灰度信息包括：
    基于所述图像区域中像素点的各通道的灰度级及各通道的权重，确定各像素点的灰度级；
    针对所述图像区域，根据各像素点的所述灰度级，确定该图像区域的平均灰度级，作为该图像区域的灰度信息。
  3. 根据权利要求1所述的显示方法，其中，所述针对所述图像区域，确定所述图像区域的灰度信息包括：
    基于所述图像区域中像素点的各通道的灰度级及各通道的权重，确定各像素点的灰度级；
    针对所述图像区域，将各像素点的所述灰度级中最高灰度级作为该图像区域的灰度信息。
  4. 根据权利要求1至3任一项所述的显示方法，其中，所述根据所述图像区域的所述灰度信息，确定所述图像区域的分辨率压缩比例包括：
    根据所述灰度信息，确定所述图像区域的灰度档；
    根据灰度档和分辨率压缩比例的关系，确定所述图像区域的灰度档对应的分辨率压缩比例。
  5. 根据权利要求4所述的显示方法，其中，每个所述灰度档对应多个连续的灰度级。
  6. 根据权利要求1至5任一项所述的显示方法，其中，所述根据所述图像区域的分辨率压缩比例，显示所述图像区域的图像，包括：
    在显示阶段，当扫描到所述图像区域对应的各行像素单元时，向与所述图像区域对应的各列像素单元输出对应所述图像区域的分辨率压缩比例的显示数 据。
  7. 根据权利要求6所述的显示方法，其特征在于，所述向与所述图像区域对应的各列像素单元输出对应所述图像区域的分辨率压缩比例的显示数据，包括：
    向与所述图像区域对应的至少两列紧邻的像素单元输出相同的显示数据，所述图像区域的灰度越高，输出相同的显示数据的像素单元的列数越少。
  8. 根据权利要求1至7任一项所述的显示方法，其中，所述一帧图像分割为至少一个图像区域包括：
    将一帧图像根据行和列等间距分割为多个区域，所述多个区域阵列排布。
  9. 一种显示装置，包括：
    图像分割单元，配置用于将一帧图像分割为至少一个图像区域；
    灰度确定单元，配置用于针对所述图像区域，确定所述图像区域的灰度信息；
    压缩比确定单元，配置用于根据所述图像区域的所述灰度信息，确定所述图像区域的分辨率压缩比例，所述图像区域的灰度级与分辨率压缩比例负相关；
    显示单元，配置用于根据所述图像区域的分辨率压缩比例，显示所述图像区域的图像。
  10. 根据权利要求9所述的显示装置，其中，所述灰度确定单元包括：
    像素点灰度确定子单元，配置用于基于所述图像区域中像素点的各通道的灰度级及各通道的权重，确定各像素点的灰度级；
    平均灰度确定子单元，配置用于针对所述图像区域，根据各像素点的所述灰度级，确定该图像区域的平均灰度级，作为该图像区域的灰度信息。
  11. 根据权利要求9所述的显示装置，其中，所述灰度确定单元包括：
    像素点灰度确定子单元，配置用于基于所述图像区域中像素点的各通道的灰度级及各通道的权重，确定各像素点的灰度级；
    最高灰度确定子单元，配置用于针对所述图像区域，将各像素点的所述灰度级中最高灰度级作为该图像区域的灰度信息。
  12. 根据权利要求9至11任一项所述的显示装置，其中，所述压缩比确定单元包括：
    灰度档确定子单元，配置用于根据所述灰度信息，确定所述图像区域的灰度档；
    分辨率压缩比例确定子单元，配置用于根据灰度档和分辨率压缩比例的关系，确定所述图像区域的灰度档对应的分辨率压缩比例。
  13. 根据权利要求12所述的显示装置，其中，每个所述灰度档对应多个连续的灰度级，所有所述灰度档对应的灰度级包含所有灰度级。
  14. 根据权利要求9至13任一项所述的显示装置，其中，所述显示单元包括：
    显示输出子单元，配置用于在显示阶段，当扫描到所述图像区域对应的各行像素单元时，向与所述图像区域对应的各列像素单元输出对应所述图像区域的分辨率压缩比例的显示数据。
  15. 根据权利要求14所述的显示装置，其中，所述显示输出子单元，配置用于与所述图像区域对应的至少两列紧邻的像素单元输出相同的显示数据，所述图像区域的灰度越高，输出相同的显示数据的像素单元的列数越少。
  16. 根据权利要求9至15任一项所述的显示装置，其中，所述图像分割单元包括：
    均匀分割子单元，配置用于将一帧图像根据行和列等间距分割为多个区域，所述多个区域阵列排布。
  17. 一种VR显示装置，包括权利要求9至16任一所述的显示装置。
  18. 一种VR设备，包括：处理器；用于存储计算机指令的存储器；其中，所述处理器配置成在运行所述计算机指令时，能够实现如权利要求1至8中任一项所述显示方法。
  19. 一种存储有计算机程序的计算机可读存储介质，该程序被处理器执行时实现如权利要求1至8中任一项所述显示方法。
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