WO2018188260A1 - 图像显示控制方法及装置和显示屏控制系统 - Google Patents

图像显示控制方法及装置和显示屏控制系统 Download PDF

Info

Publication number
WO2018188260A1
WO2018188260A1 PCT/CN2017/101297 CN2017101297W WO2018188260A1 WO 2018188260 A1 WO2018188260 A1 WO 2018188260A1 CN 2017101297 W CN2017101297 W CN 2017101297W WO 2018188260 A1 WO2018188260 A1 WO 2018188260A1
Authority
WO
WIPO (PCT)
Prior art keywords
luminance component
pixel data
input image
color space
image
Prior art date
Application number
PCT/CN2017/101297
Other languages
English (en)
French (fr)
Inventor
王伙荣
宗靖国
杨城
Original Assignee
西安诺瓦电子科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 西安诺瓦电子科技有限公司 filed Critical 西安诺瓦电子科技有限公司
Publication of WO2018188260A1 publication Critical patent/WO2018188260A1/zh
Priority to US16/586,917 priority Critical patent/US10916174B2/en

Links

Images

Classifications

    • 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
    • G09G3/2003—Display of colours
    • 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
    • G09G3/22—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 using controlled light sources
    • G09G3/30—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 using controlled light sources using electroluminescent panels
    • G09G3/32—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 using controlled light sources using electroluminescent panels semiconductive, e.g. using light-emitting diodes [LED]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00—Details of colour television systems
    • H04N9/64—Circuits for processing colour signals
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2320/00—Control of display operating conditions
    • G09G2320/06—Adjustment of display parameters
    • G09G2320/0626—Adjustment of display parameters for control of overall brightness
    • 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
    • G09G2340/06—Colour space transformation
    • 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 technologies, and in particular, to an image display control method, a display screen control system, and an image display control device.
  • LED displays have gained more and more market attention with their high dynamics and high color. More and more advertisers and merchants are more inclined to choose LED display as the medium for promotion and promotion. The long service life will cause the display brightness to drop, which will seriously affect the display effect of the display, affecting the normal use of the user; and some outdoor display screens have insufficient display brightness due to the limitations of the display device. It brings great inconvenience to users.
  • Embodiments of the present disclosure provide an image display control method, a display screen control system, and an image display control device, which solve the problem that the display screen display brightness is insufficient, and realize the technical effect of brightness enhancement.
  • an image display control method including: receiving an input image; performing luminance component mapping processing on target pixel data of the input image; and separating the target pixel data processed by the luminance component from color to light Converting the space to the primary color space; filtering the target pixel data after the luminance component mapping process converted to the primary color space; and outputting the filtered pixel data to the display for image display.
  • a display control system includes a transmit card, a receive card, and an LED display; the receive card is coupled between the transmit card and the LED display.
  • the sending card is configured to: receive an input image; perform brightness component mapping processing on the input image; convert the input image after the luminance component mapping process from a color separation color space to a primary color space; The input image processed by the luminance component mapping of the primary color space is subjected to filtering processing; and the input image after the filtering processing is output to the receiving card to drive the LED display to perform image display.
  • a display control system in another aspect, includes a transmit card, a receive card, and an LED display; the receive card is coupled between the transmit card and the LED display.
  • the transmitting card is configured to: receive an input image; perform segmentation probability statistics on pixel luminance component values of the input image.
  • the receiving card is configured to: receive a probability statistical value; perform luminance component mapping processing on the local region pixel data of the input image based on the probability statistical value; and color the local region pixel data after the luminance component mapping process Converting the bright separation color space to the primary color space; filtering the local area pixel data after the luminance component mapping process converted to the primary color space; and outputting the filtered partial local pixel data to the
  • the LED display is used for image display.
  • an image display control apparatus including: an input module, configured to receive an input image; a luminance component mapping module, configured to perform luminance component mapping processing on target pixel data of the input image; and a color space conversion module, Converting the target pixel data processed by the luminance component from the color separation color space to the primary color space; a filtering processing module, configured to perform the mapping of the luminance component converted to the primary color space Target image
  • the prime data is subjected to filtering processing; and the output module is configured to output the filtered target image data to the display screen for image display.
  • One of the above technical solutions has the following advantages: by performing luminance component value mapping processing on the input image, and then converting the pixel data into the primary color space, and finally enhancing the image by increasing the detail contrast of the image; It can effectively balance the brightness and contrast of the displayed image, and can enhance the brightness of the image without losing the gradation. It can solve the problem that the user can't improve the display effect by increasing the brightness, and prolongs the display. Years of use provide users with convenience and enhance the user experience.
  • Still another technical solution of the above technical solution has the following advantages: by implementing image brightness enhancement processing on hardware, the response speed of the entire control system can be improved.
  • Another technical solution in the above technical solution has the advantage that the response speed of the entire control system can be further improved by performing image brightness enhancement processing by the transmitting card and the receiving card together.
  • FIG. 1A is a schematic flow chart of an image display control method in a first embodiment of the present disclosure
  • FIG. 1B is a schematic flowchart of a sub-step of step S12 shown in FIG. 1A;
  • FIG. 2 is a schematic diagram of a piecewise linear mapping relationship curve according to a first embodiment of the present disclosure
  • FIG. 3 is a schematic structural diagram of a display screen control system according to a second embodiment of the present disclosure.
  • FIG. 4 is a schematic diagram of a processing procedure for implementing brightness enhancement of a transmitting card according to a second embodiment
  • FIG. 5 is a schematic diagram of a process of jointly implementing a brightness enhancement by a transmitting card and a receiving card according to a third embodiment of the present disclosure
  • FIG. 6 is a block diagram showing an image display control device according to a fourth embodiment of the present disclosure.
  • Fig. 7 is a block diagram showing an image display control device according to a fifth embodiment of the present disclosure.
  • an image display control method provided in a first embodiment of the present disclosure includes the following steps:
  • the received input image is typically a primary color space image, such as an RGB image, so in this case a corresponding increase step is: converting the received input image from the primary color space to the color component color space,
  • a corresponding increase step is: converting the received input image from the primary color space to the color component color space
  • the input source is not fixed to the input primary color space image, and in some application scenarios, the color separation image space, such as YUV image, YCbCr image, etc., is directly input.
  • step S12 it includes, for example, sub-steps S121-S125 shown in FIG. 1B, as follows:
  • Sub-step S121 extracting a pixel luminance component value of the input image in the color separation color space; typically extracting the pixel luminance component values of the respective pixel data of the input image in the color separation color space, of course, the pixel data is separated in color
  • the color space also has a chrominance component value.
  • Y represents a luminance component value
  • UV represents a chrominance component value
  • CbCr Represents the chroma component value.
  • the pixel luminance component value is mainly extracted, and the pixel chrominance component value can be kept unchanged; of course, if image chrominance compensation is required, the pixel chrominance component value can also be performed. Properly handled.
  • Sub-step S123 Acquire (N+1) target segment nodes based on probability statistics and brightness adjustment factors in the N segments; for example, based on probability statistics P(p 0 , p 1 ) in N segments , p 2 , p 3 , p 4 ) and brightness adjustment factor
  • Obtain (N+1) target segment nodes which can be implemented in hardware as follows:
  • step (c2) Solve AH -1 A T according to step (c1). Since the elements in the A matrix are only 1 or -1, there is only an addition operation, and the adder is used in the hardware to process the elements therein; A T is as follows:
  • the matrix is stored in the RAM, and the address is calculated using a two-dimensional address; when the data is read, the multiplication is performed while reading, and the RAM address is transformed during reading; a total of one multiplier is needed.
  • An adder can be implemented as a pipeline.
  • m 11 * (-1) 1+1 (m 22 ⁇ m 33 ⁇ m 44 ⁇ m 55 +m 23 ⁇ m 34 ⁇ m 45 ⁇ m 52
  • Sub-step S124 establishing a piecewise linear mapping relationship between the initial luminance component value and the target luminance component value by using (N+1) initial segment nodes and (N+1) target segment nodes; N+1) initial segmentation nodes, such as old_segment and (N+1) target segment nodes, such as new_segment, establish a piecewise linear mapping relationship between the initial luminance component value and the target luminance component value, as shown in FIG.
  • the established mapping relationship is the five linear relations of the segmentation, wherein the abscissa represents the intensity of the pixel luminance component of the input image, and I ori,min , I ori,max respectively represent the minimum and maximum values thereof;
  • the coordinates represent the intensity of the mapped pixel luminance component, I dis,min , I dis,max represent their minimum and maximum values , respectively.
  • Sub-step S125 using the pixel luminance component value as the initial luminance component value and performing luminance component mapping processing on the target pixel data of the input image according to the piecewise linear mapping relationship; for example, the target pixel data of each frame of the input image is bright in color Separating the luminance component value of the color space as an initial luminance component value and performing luminance component mapping processing on the target pixel data of the input image according to the piecewise linear mapping relationship; thus, based on the established piecewise linear mapping relationship, by inputting each frame Each of the pixels of the image performs luminance component mapping processing on the luminance component values of the color separation color space, and the mapped luminance component values of the respective pixels are obtained.
  • a new segment node solution, a mapping relationship establishment, and a luminance component mapping process may be performed once per frame, and correspondingly, two blocks of RAM may be used for the ping-pong operation to solve and Storage, for example, requires a total of 256*8*2bits of RAM, which is implemented using distributed RAM.
  • step S13 the target pixel data after the luminance component mapping process is converted from the color separation color space to the primary color space, for example, from YUV space or YCbCr to RGB space.
  • step S14 the target pixel data after the luminance component mapping process converted to the primary color space is subjected to filtering processing; taking the pixel data of the RGB space as an example, the filtering process here is typically three for R, G, and B.
  • the color components are respectively subjected to filtering processing, and the filtering processing mode may be selected as a band pass filtering process to remove the small or excessive color components, thereby achieving a technical effect of further improving the image contrast.
  • step S15 the filtered target pixel data image is output to a display screen such as an LED.
  • the display screen displays images; of course, other types of displays, such as the currently popular LCD screens, etc.
  • the present embodiment calculates the probability that the luminance component values of the entire input image fall in N segments respectively, and combines the probability statistics and the brightness adjustment factor to solve a new segmentation node by using a matrix operation method, and then passes
  • the luminance component global mapping maps the luminance component values of the input image on the new piecewise linear mapping curve, and then converts the pixel data into the primary color, and finally enhances the image by enhancing the image detail contrast; Effectively balance the brightness and contrast of the displayed image, which can enhance the brightness of the image without losing the gradation. It can solve the problem that the user can't improve the display effect by adjusting the brightness and prolong the use of the display. Years, providing users with convenience and improving the user experience.
  • the display control system 30 in the second embodiment of the present disclosure includes: a transmitting card 31, a receiving card 33, and an LED display screen 35; the receiving card 33 is connected between the transmitting card 31 and the LED display screen 35.
  • the transmitting card 31 typically includes a video interface, a video decoder, a programmable logic device such as an FPGA device, a PHY chip, and an output interface, and a memory used in conjunction with the programmable logic device, but the present embodiment does not This is limited.
  • the receiving card 33 typically includes a network port, a PHY chip, a programmable logic device such as an FPGA device and a busbar, and a memory used in conjunction with the programmable logic device, but the present embodiment is not limited thereto; It is to be noted that the number of the receiving cards 33 connected to the transmitting card 31 is not limited to one, and may be a plurality of cascaded, or even a plurality of cascaded receiving cards connected to the plurality of output ports of the transmitting card 31.
  • the LED display 35 includes, for example, one or more LED display boxes, each LED display box The body is carried by one or more receiving cards and includes a LED light board or a plurality of LED light boards that are cascaded. It can be understood that the LED panel will be provided with an LED lamp as a display pixel and a row decoding circuit and a column driving circuit.
  • the transmitting card 31 of the present embodiment can implement the image brightness enhancement processing in the image display control method in the first embodiment.
  • FIG. 4 is to achieve brightness enhancement according to the sending card of this embodiment. Schematic diagram of the process.
  • the transmitting card 31 receives the input RGB image, converts the RGB image to the YUV image, extracts the Y component of the YUV image, and then performs Y component segmentation statistics on the entire image, for example, for each of the N segments.
  • the incoming Y component is counted, and the probability value of N segments is obtained by dividing the count value of each segment by the total number of Y component values; then based on the probability statistics and brightness adjustment factors of each segment (E.g Performing a matrix operation to obtain a target segmentation node, and then establishing a piecewise linear mapping relationship based on the initial segmentation nodes of the N segments and the obtained target segmentation nodes, and then performing a luminance component on the Y component extracted from the YUV image.
  • the mapping process can obtain the mapped Y component, combine the mapped Y component with the UV component of the YUV image, and convert it into an RGB image.
  • the RGB image is filtered to obtain a brightness-enhanced image output to the receiving card 33.
  • the receiving card 33 intercepts the image data belonging to itself and drives the LED display 35 to perform image display accordingly.
  • the image brightness enhancement processing in the image display control method is implemented on the transmission card 31, and the image processing realizes the advantage of having a fast system response speed on the hardware.
  • Display screen control system in the third embodiment of the present disclosure and display screen control system of the second embodiment The system 30 has the same hardware architecture and will not be described here. The difference is that the image brightness enhancement process is performed by the sending card and the receiving card. For a specific process, reference may be made to FIG. 5 , which is a schematic diagram of a process of brightness enhancement related to the third embodiment of the present disclosure.
  • the transmitting card receives the input RGB image, converts it to the YUV image and the Y component, and performs the Y component segmentation statistics on the entire image to obtain the probability statistics of the N segments and delivers the probability statistics to the receiving card;
  • the receiving card is based on the probability statistics and brightness adjustment factors of each segment on the one hand.
  • the receiving card can calculate the Y component corresponding to the target pixel data based on the established piecewise linear mapping relationship
  • the luminance component mapping process is performed to obtain the mapped Y component, and the mapped Y component is combined with the UV component corresponding to the target pixel data to be converted into RGB pixel data, and finally the RGB pixel data is filtered to obtain a brightness enhanced target.
  • the pixel data drives the LED display 35 for image display.
  • the image pixel data intercepted by the receiving card may be all pixel data of the input RGB image (for example, in the case where the LED display screen is carried by a single receiving card), or may be a partial pixel of the input RGB image. Data (for example, in the case where the LED display is carried by multiple receiving cards).
  • the calculation target segmentation node and the subsequent processing steps in the image display control method are placed on the receiving card, and since the receiving card processes only the image pixel data belonging to itself, the response speed of the control system can be further improved.
  • the image display control device 60 in the fourth embodiment of the present disclosure includes an input module 61, a luminance component mapping module, a color space conversion module 67, a filter processing module 68, and an output module 69.
  • the luminance component mapping module is configured to perform luminance component mapping processing on the pixel data of the input image, and includes: an extraction module 62, a statistics module 63, a segmentation node calculation module 64, a mapping relationship establishing module 65, and a mapping processing module 66.
  • These modules 61-69 may be software modules and stored in memory and executed by one or more processors, for example, these modules 61-69 may be stored in a memory on the transmit card and executed by the programmable logic device.
  • the input module 61 is configured to receive an input image; the extraction module 62 is configured to extract pixel luminance component values respectively corresponding to the respective pixel data of the input image in the color separation color space; the statistics module 63 is configured to input the pixel The pixel luminance component values of the image are probabilistically ranked by N segments, wherein the N segments have (N+1) initial segment nodes and N is a positive integer greater than 1; the segment node calculation module 64 For acquiring (N+1) target segment nodes based on probability statistics and brightness adjustment factors in the N segments; mapping relationship establishing module 65 is configured to utilize the (N+1) initial segment nodes Establishing a piecewise linear mapping relationship between the initial luminance component value and the target luminance component value with the (N+1) target segment nodes; the mapping processing module 66 is configured to: display each pixel data of the input image in the Separating the pixel luminance component values respectively corresponding to the color space as initial luminance component values and performing luminance component mapping processing on each pixel data of the input image according to the
  • the image display control device 70 in the fifth embodiment of the present disclosure includes an input module 71, a luminance component mapping module, a color space conversion module 77, a filter processing module 78, an output module 79, and an image intercepting module 80a. And a second extraction module 80b.
  • the luma component mapping module is configured to perform luma component mapping processing on the pixel data of the input image, and includes: an extracting module 72, a statistics module 73, a segment node computing module 74, a mapping relationship establishing module 75, and a mapping processing module 76.
  • modules 71-79 and 80a and 80b may be software modules and stored in a memory and executed by one or more processors, for example, these modules 71-73 may be stored in a memory on the transmitting card and executed by the programmable logic device. Modules 74-79 and 80a and 80 can be stored in a memory on the receiving card and executed by the programmable logic device. In other embodiments, modules 71-75 may also be stored in a memory on the transmit card and executed by the programmable logic device, and modules 76-79 and 80a and 80 may be stored in a memory on the receive card and Programmable logic device execution.
  • the input module 71 is configured to receive an input image; the extraction module 72 is configured to extract pixel luminance component values respectively corresponding to the respective pixel data of the input image in the color separation color space; the statistics module 73 is configured to input the pixel
  • the pixel luminance component values of the image are probabilistically ranked by N segments, wherein the N segments have (N+1) initial segment nodes and N is greater than 1 a positive integer; the segmentation node calculation module 74 is configured to acquire (N+1) target segment nodes based on the probability statistics and the brightness adjustment factors in the N segments; the mapping relationship establishing module 75 is configured to utilize the (N+1) initial segment nodes and the (N+1) target segment nodes establish a piecewise linear mapping relationship between the initial luminance component value and the target luminance component value; the image intercepting module 80a is configured to perform an image Intercepting to obtain pixel data of all or part of the input image as target pixel data for subsequent mapping; second extraction module 80b is configured to extract pixel luminance component values of the target pixel
  • the disclosed systems, devices, and/or methods may be implemented in other ways.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in electrical, mechanical or other form.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in various embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of hardware plus software functional units.
  • the above-described integrated unit implemented in the form of a software functional unit can be stored in a computer readable storage medium.
  • the above software functional unit is stored in a storage medium and includes instructions for causing one or more processors of a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the methods described in various embodiments of the present disclosure. Part of the steps.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like, and the program code can be stored. Medium.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Image Processing (AREA)
  • Facsimile Image Signal Circuits (AREA)

Abstract

一种图像显示控制方法及装置以及一种显示屏控制系统（30），其接收输入图像（S11），对输入图像的目标像素数据进行亮度分量映射处理（S12），将亮度分量映射处理后的目标像素数据从色亮分离颜色空间转换到基色颜色空间（S13），对转换至基色颜色空间的亮度分量映射处理后的目标像素数据进行滤波处理（S14），以及输出滤波处理后的目标像素数据像至显示屏进行图像显示（S15）。

Description

图像显示控制方法及装置和显示屏控制系统 技术领域
本公开涉及显示技术领域，尤其涉及一种图像显示控制方法、一种显示屏控制系统以及一种图像显示控制装置。
背景技术
当前，LED显示屏以其高动态和高色彩度获得了越来越多的市场关注，越来越多的广告商和商户更倾向于选择LED显示屏作为其推广和宣传的媒介，而显示屏的使用年限较长，会导致其显示亮度下降，这样会严重影响显示屏的显示效果，影响了用户的正常使用；还有一部分户外显示屏由于显示设备的局限性导致屏体的显示亮度不够，给用户带来了极大的不便。
发明内容
本公开的实施例提供一种图像显示控制方法、一种显示屏控制系统以及一种图像显示控制装置，解决显示屏显示亮度不够的问题，实现亮度增强的技术效果。
一方面，提供了一种图像显示控制方法，包括：接收输入图像；对所述输入图像的目标像素数据进行亮度分量映射处理；将亮度分量映射处理后的所述目标像素数据从色亮分离颜色空间转换到基色颜色空间；对转换至所述基色颜色空间的亮度分量映射处理后的所述目标像素数据进行滤波处理；以及输出滤波处理后的所述目标像素数据像至显示屏进行图像显示。
再一方面，提供了一种显示屏控制系统，包括发送卡、接收卡和LED显示屏；所述接收卡连接在所述发送卡和LED显示屏之间。所述发送卡被配置成：接收输入图像；对所述输入图像进行亮度分量映射处理；将亮度分量映射处理后的所述输入图像从色亮分离颜色空间转换到基色颜色空间；对转换至所述基色颜色空间的亮度分量映射处理后的所述输入图像进行滤波处理；输出滤波处理后的所述输入图像至所述接收卡以驱动所述LED显示屏进行图像显示。
另一方面，提供了一种显示屏控制系统，包括发送卡、接收卡和LED显示屏；所述接收卡连接在所述发送卡和LED显示屏间。所述发送卡被配置成：接收输入图像；对所述输入图像的像素亮度分量值进行分段概率统计。所述接收卡被配置成：接收概率统计值；基于所述概率统计值对所述输入图像的局部区域像素数据进行亮度分量映射处理；将亮度分量映射处理后的所述局部区域像素数据从色亮分离颜色空间转换到基色颜色空间；对转换至所述基色颜色空间的亮度分量映射处理后的所述局部区域像素数据进行滤波处理；以及输出滤波处理后的所述局部区域像素数据至所述LED显示屏进行图像显示。
又一方面，提供了图像显示控制装置，包括：输入模块，用于接收输入图像；亮度分量映射模块，用于对所述输入图像的目标像素数据进行亮度分量映射处理；颜色空间转换模块，用于将亮度分量映射处理后的所述目标像素数据从所述色亮分离颜色空间转换到基色颜色空间；滤波处理模块，用于对转换至所述基色颜色空间的亮度分量映射处理后的所述目标像 素数据进行滤波处理；输出模块，用于输出滤波处理后的所述目标像素数据像至显示屏进行图像显示。
上述技术方案中的一个技术方案具有如下优点：通过对输入图像进行亮度分量值映射处理，再将像素数据转换到基色颜色空间，最后为提高图像的细节对比度还通过滤波处理对图像进行增强；因此可以有效平衡显示图像的亮度和对比度，可以在不损失灰度的情况下实现图像亮度的增强，可以很好的解决用户无法通过调高亮度来提高显示屏显示效果的问题，延长了显示屏的使用年限，为用户提供了便利，提高用户的体验。
上述技术方案中的再一个技术方案具有如下优点：通过将图像亮度增强处理在硬件上实现，可以提升整个控制系统的响应速度。
上述技术方案中的另一个技术方案具有如下优点：通过将图像亮度增强处理由发送卡和接收卡共同完成，可以进一步提升整个控制系统的响应速度。
附图说明
为了更清楚地说明本公开实施例的技术方案，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1A为本公开第一实施例中的图像显示控制方法的流程示意图；
图1B为图1A所示步骤S12的子步骤流程示意图；
图2为相关本公开第一实施例的分段线性映射关系曲线示意图；
图3为本公开第二实施例的显示屏控制系统的架构示意图；
图4为相关第二实施例的发送卡实现亮度增强的处理过程示意图；
图5为本公开第三实施例的发送卡和接收卡共同实现亮度增强的处理过程示意图；
图6为本公开第四实施例的图像显示控制装置的模块示意图；
图7为本公开第五实施例的图像显示控制装置的模块示意图。
具体实施方式
下面将结合本公开实施例中的附图，对本公开实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本公开一部分实施例，而不是全部的实施例。基于本公开中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本公开保护的范围。
第一实施例
如图1A所示，本公开第一实施例中提供的一种图像显示控制方法，包括步骤：
S11：接收输入图像；
S12：对输入图像的目标像素数据进行亮度分量映射处理；
S13：将亮度分量映射处理后的目标像素数据从色亮分离颜色空间转换到基色颜色空间；
S14：对转换至基色颜色空间的亮度分量映射处理后的目标像素数据进行滤波处理；以及
S15：输出滤波处理后的目标像素数据像至显示屏进行图像显示。
为便于更清楚地理解本实施例，下面特举具体例子对前述步骤S11-S15进行详细描述。
在步骤S11中，接收的输入图像典型的为基色颜色空间图像，例如RGB图像，因此在该种情形下则相应地增加步骤：将接收的输入图像从基色颜色空间转换至色亮分量颜色空间，以便于步骤S12的执行；当然，输入源其实并不固定为输入基色颜色空间图像，在某些应用场景，也是会直接输入色亮分离颜色空间图像，例如YUV图像、YCbCr图像等。
在步骤S12中，其例如包括图1B所示的子步骤S121-S125，具体如下：
子步骤S121：提取输入图像在色亮分离颜色空间的像素亮度分量值；其典型的为提取输入图像的全部像素数据在色亮分离颜色空间各自的像素亮度分量值，当然像素数据在色亮分离颜色空间除了像素亮度分量值，还会有色度分量值，举例来说，对于YUV图像，Y代表亮度分量值，UV代表色度分量值；同理，对于YCbCr图像，Y代表亮度分量值，CbCr代表色度分量值。本实施例中为了实现亮度增强，因而主要是对像素亮度分量值进行提取，而可以保持像素色度分量值不变；当然，若需要进行图像色度补偿，也是可以对像素色度分量值进行适当处理。
子步骤S122：对输入图像的像素亮度分量值按N个分段进行概率统计；其例如对输入图像的全部像素数据在色亮分离颜色空间分别对应的像素亮度分量值按N个分段进行概率统计；举例来说，假设N＝5，各个分段的范围分别为[0,50]、[51,101]、[102,152]、[153,203]、[204,255]， 则这5个分段具有6个(也即N+1个)分段节点，也即(0,51,102,153,204,255)；接下来将输入图像的各个像素数据分别对应的像素亮度分量值归一化到0-255灰度范围(对应输入图像为8位源)内并对分别落在这5个分段内的像素数量进行计数，最终将各个分段的计数除以总像素数即可得到各个分段的概率例如P(p0,p1,p2,p3,p4)。
子步骤S123：基于N个分段中的概率统计值和亮度调节因子获取(N+1)个目标分段节点；其例如是基于N个分段中的概率统计值P(p0,p1,p2,p3,p4)和亮度调节因子
Figure PCTCN2017101297-appb-000001
获取(N+1)个目标分段节点，其在硬件上的实现可以采用如下矩阵运算方式：
(a)初始化参数，此处的参数例如包括：θ值，范围为(0,1)，用来调节图像整体的亮度和对比度，可以取固定值θ＝0.5；亮度调节因子
Figure PCTCN2017101297-appb-000002
即设置目标达到的亮度水平；矩阵b，其是一个N×1的矩阵，当N＝5时为5×1矩阵，也即矩阵
Figure PCTCN2017101297-appb-000003
矩阵A，其是一个N×(2N-1)的矩阵，A1i＝1，i∈[1,N]并且Aj,N+j-1＝1，Aj,1…j＝-1，j∈[2,N]，当N＝5时，矩阵A为：
Figure PCTCN2017101297-appb-000004
(b)根据
Figure PCTCN2017101297-appb-000005
的值，按顺序计算
Figure PCTCN2017101297-appb-000006
并根据H阵，构建H的逆阵。本实施例中，H是一个(2N-1)×(2N-1)的对 角矩阵，其所包含的矩阵元素与前述概率统计值P(p0,p1,p2,p3,p4)相关；当N＝5时，H的逆阵为：
Figure PCTCN2017101297-appb-000007
(c)根据A、b、H-1阵求解Y矩阵Y＝((AH-1AT)-1AH-1)Tb＝(y1,y2,...,yN)，步骤如下：
(c1)求解AH-1，设H-1如下，由于A矩阵只有1和-1的元素，
Figure PCTCN2017101297-appb-000008
为对角矩阵，则AH-1只需进行元素变换
即可；
Figure PCTCN2017101297-appb-000009
(c2)根据步骤(c1)求解AH-1AT，由于A矩阵中的元素只有1或者-1，因此也只有加法运算，硬件中使用加法器对其中的元素进行处理；AT如下：
Figure PCTCN2017101297-appb-000010
从而，
Figure PCTCN2017101297-appb-000011
(c3)对步骤(c2)的结果使用伴随矩阵方法求逆，设AH-1AT＝M
Figure PCTCN2017101297-appb-000012
则对M进行求模：
|M|＝m11·m22·m33·m44·m55+m12·m23·m34·m45·m51
+m13·m24·m35·m41·m52+m14·m25·m31·m42·m53+m15·m21·m32·m43·m54
-m15·m24·m33·m42·m51-m11·m52·m43·m34·m25-m21·m12·m53·m44·m35
-m31·m22·m13·m54·m45-m41·m32·m23·m14·m55
在求解这个值时，将矩阵存储到RAM中，地址计算时使用二维地址进行；数据运算时一边读取一边进行乘法运算，在读取时，RAM地址进行变换进行；总共需要一个乘法器和一个加法器，可以做成流水线的方式进行实现。
m11 *＝(-1)1+1(m22·m33·m44·m55+m23·m34·m45·m52
+m24·m35·m42·m53+m25·m32·m43·m54
-m52·m43·m34·m25-m22·m53·m44·m35
-m32·m23·m54·m45-m42·m33·m24·m55
同理可求得
Figure PCTCN2017101297-appb-000013
最终求得
Figure PCTCN2017101297-appb-000014
在此需要一个除法器实现，完成最终求解。
(c4)将步骤(c3)和步骤(c1)的矩阵相乘，也即计算M-1(AH-1)。
(c5)转置后与矩阵b相乘求得Y矩阵：
Y＝((AH-1AT)-1AH-1)Tb＝(y1,y2,y3,y4,y5)，对应N＝5的情形。
(d)根据求解得到的Y矩阵计算：△Idis,i＝yi+△Iori,i，i的范围是[1,5]，yi代表每一个分段内处理后图像和输入图像的对比度差值；从而得到新分段节点：
new_segment＝[0,△dis,1,△dis,1+△dis,2,△dis,1+△dis,2+△dis,3,△dis,1+△dis,2+△dis,3+△dis,4,△dis,1+△dis,2+△dis,3+△dis,4+△dis,5]，对应N＝5个分段的初始分段节点old_segment＝[0,51,102,153,204,255]。
子步骤S124：利用(N+1)个初始分段节点和(N+1)个目标分段节点建立初始亮度分量值与目标亮度分量值之间的分段线性映射关系；其例如是利用(N+1)个初始分段节点例如old_segment和(N+1)个目标分段节点例如new_segment建立初始亮度分量值与目标亮度分量值之间的分段线性映射关系，例如图2所示，当N＝5时，则建立的映射关系为分段的五个线性关 系，其中横坐标表示输入图像的像素亮度分量强度，Iori,min、Iori,max分别表示其最小值和最大值；纵坐标表示映射像素亮度分量强度，Idis,min、Idis,max分别表示其最小值和最大值。
子步骤S125：将像素亮度分量值作为初始亮度分量值并根据分段线性映射关系对输入图像的目标像素数据进行亮度分量映射处理；其例如是将输入图像每一帧的目标像素数据在色亮分离颜色空间的亮度分量值作为初始亮度分量值并根据分段线性映射关系对输入图像的目标像素数据进行亮度分量映射处理；如此一来，基于建立的分段线性映射关系，通过对每帧输入图像各个像素在色亮分离颜色空间的亮度分量值进行亮度分量映射处理，即可得到各个像素的映射后亮度分量值。典型地，在本实施例中，对于输入图像的亮度增强，可以每帧进行一次新分段节点求解、映射关系建立和亮度分量映射处理，相应地可以采用两块RAM进行乒乓操作来进行求解和存储，例如共需要256*8*2bits RAM，使用分布式RAM实现。
在步骤S13中，将亮度分量映射处理后的目标像素数据从色亮分离颜色空间转换到基色颜色空间，例如从YUV空间或YCbCr转换到RGB空间。
在步骤S14中，对转换至基色颜色空间的亮度分量映射处理后的目标像素数据进行滤波处理；以RGB空间的像素数据为例，此处的滤波处理典型的是对R、G、B三个颜色分量分别进行滤波处理，而且滤波处理方式可选为带通滤波处理，以去除掉过小或过大的颜色分量，进而达成进一步提升图像对比度的技术效果。
在步骤S15中，输出滤波处理后的目标像素数据像至显示屏例如LED 显示屏进行图像显示；当然，也可以是其它类型显示屏，例如当前比较流行的液晶显示屏等等。
综上所述，本实施例通过统计整幅输入图像的亮度分量值分别落在N个分段的概率，结合概率统计值和亮度调节因子利用矩阵运算方式求解出新的分段节点，然后通过亮度分量全局映射将输入图像的亮度分量值映射在新的分段线性映射曲线上，再将像素数据转换到基色颜色间，最后为提高图像的细节对比度还通过滤波处理对图像进行增强；因此可以有效平衡显示图像的亮度和对比度，可以在不损失灰度的情况下实现图像亮度的增强，可以很好的解决用户无法通过调高亮度来提高显示屏显示效果的问题，延长了显示屏的使用年限，为用户提供了便利，提高用户的体验。
第二实施例
如图3所示，本公开第二实施例中的显示屏控制系统30，包括：发送卡31、接收卡33和LED显示屏35；接收卡33连接在发送卡31和LED显示屏35之间。具体而言，发送卡31典型地包括依次连接的视频接口、视频解码器、可编程逻辑器件例如FPGA器件、PHY芯片和输出接口以及配合可编程逻辑器件使用的存储器，但本实施例并不以此为限。接收卡33典型地包括依次连接的网口、PHY芯片、可编程逻辑器件例如FPGA器件和排母以及配合可编程逻辑器件使用的存储器，但本实施例并不以此为限；此外，值得一提的是，连接发送卡31的接收卡33的数量并不限于一张，也可以是级联的多张，甚至是连接至发送卡31的多个输出口的多串级联的接收卡。LED显示屏35例如包括一个或多个LED显示箱体，每一个LED显示箱 体由一张或多张接收卡带载且包括一个LED灯板或级联的多个LED灯板。可以理解的是，LED灯板会配置有作为显示像素的LED灯以及行译码电路和列驱动电路。
承上述，本实施例的发送卡31可以实现前述第一实施例中的图像显示控制方法中的图像亮度增强处理，具体流程可参见图4，其为相关于本实施例的发送卡实现亮度增强的处理过程示意图。
如图4所示，发送卡31接收输入的RGB图像，将RGB图像转换至YUV图像，提取YUV图像的Y分量，之后对整幅图像进行Y分量分段统计例如对N个分段中分别落入的Y分量进行计数，将各个分段的计数值除以总Y分量值数目即可得到N个分段的概率统计值；之后再基于各个分段的概率统计值和亮度调节因子
Figure PCTCN2017101297-appb-000015
(例如
Figure PCTCN2017101297-appb-000016
)进行矩阵运算得到目标分段节点，然后根据N个分段的初始分段节点和得到的这些目标分段节点就可以建立分段线性映射关系，再对提取自YUV图像的Y分量进行亮度分量映射处理就可以得到映射后Y分量，将映射后Y分量与YUV图像的UV分量组合后转换成RGB图像，最后对RGB图像进行滤波处理即可得到亮度增强的图像输出至接收卡33。接收卡33接收到发送卡31输出的图像后截取属于自己的图像数据并据此驱动LED显示屏35进行图像显示。
本实施例将图像显示控制方法中的图像亮度增强处理在发送卡31上实现，而图像处理在硬件上实现具有系统响应速度快的优点。
第三实施例
本公开第三实施例中的显示屏控制系统与第二实施例的显示屏控制系 统30具有相同的硬件架构，在此不再赘述。不同之处在于，图像亮度增强处理是由发送卡和接收卡共同完成,具体流程可参见图5，其为相关于本公开第三实施例的亮度增强的处理过程示意图。
如图5所示，发送卡接收输入的RGB图像后转换至YUV图像并Y分量以及对整幅图像进行Y分量分段统计得到N个分段的概率统计值并下发至接收卡；之后，由接收卡一方面基于各个分段的概率统计值和亮度调节因子
Figure PCTCN2017101297-appb-000017
(例如
Figure PCTCN2017101297-appb-000018
)进行矩阵运算得到目标分段节点以及根据N个分段的初始分段节点和得到的这些目标分段节点就可以建立分段线性映射关系，另一方面接收发送卡输出的RGB图像并进行图像截取以获取属于自己的目标像素数据、将截取的目标像素数据转换至YUV颜色空间并提取Y分量；接下来，接收卡就可以基于建立的分段线性映射关系对目标像素数据所对应的Y分量进行亮度分量映射处理，得到映射后Y分量，以及将映射后Y分量与目标像素数据所对应的UV分量组合后转换成RGB像素数据，最后对RGB像素数据进行滤波处理即可得到亮度增强的目标像素数据驱动LED显示屏35进行图像显示。此处值得说明的是，接收卡所截取的图像像素数据可以是输入RGB图像的全部像素数据(例如在LED显示屏由单张接收卡带载的情形下)，也可以是输入RGB图像的部分像素数据(例如在LED显示屏由多张接收卡带载的情形下)。
本实施例将图像显示控制方法中的计算目标分段节点及其后的处理步骤放置接收卡上实现，由于接收卡只处理属于自己的图像像素数据，因此能够进一步提升控制系统的响应速度。
第四实施例
如图6所示，本公开第四实施例中的图像显示控制装置60，包括：输入模块61、亮度分量映射模块、颜色空间转换模块67、滤波处理模块68和输出模块69。可选地，亮度分量映射模块用于对输入图像的像素数据进行亮度分量映射处理，其包括：提取模块62、统计模块63、分段节点计算模块64、映射关系建立模块65和映射处理模块66。这些模块61-69可以是软件模块并存储于存储器中并由一个或多个处理器执行，例如这些模块61-69可以存储在发送卡上的存储器中并由可编程逻辑器件执行。
更具体地：输入模块61用于接收输入图像；提取模块62用于提取所述输入图像的各个像素数据在色亮分离颜色空间分别对应的像素亮度分量值；统计模块63用于对所述输入图像的所述像素亮度分量值按N个分段进行概率统计，其中所述N个分段具有(N+1)个初始分段节点且N为大于1的正整数；分段节点计算模块64用于基于所述N个分段中的概率统计值和亮度调节因子获取(N+1)个目标分段节点；映射关系建立模块65用于利用所述(N+1)个初始分段节点和所述(N+1)个目标分段节点建立初始亮度分量值与目标亮度分量值之间的分段线性映射关系；映射处理模块66用于将所述输入图像的各个像素数据在所述色亮分离颜色空间分别对应的像素亮度分量值作为初始亮度分量值并根据所述分段线性映射关系对所述输入图像的各个像素数据进行亮度分量映射处理；颜色空间转换模块67用于将亮度分量映射处理后的各个像素数据从所述色亮分离颜色空间转换到基色颜色空间；滤波处理模块68用于对转换至所述基色颜色空间的亮度分量映射处 理后的各个像素数据进行滤波处理；以及输出模块69用于输出滤波处理后的各个像素数据至显示屏进行图像显示。至于这些模块61-69的具体功能细节可参见前述第一实施例中相关于步骤S11-S15及子步骤S121-S125的执行细节，故在此不再赘述。
第五实施例
如图7所示，本公开第五实施例中的图像显示控制装置70，包括：输入模块71、亮度分量映射模块、颜色空间转换模块77、滤波处理模块78、输出模块79、图像截取模块80a和第二提取模块80b。可选地，亮度分量映射模块用于对输入图像的像素数据进行亮度分量映射处理，其包括：提取模块72、统计模块73、分段节点计算模块74、映射关系建立模块75、映射处理模块76。这些模块71-79和80a及80b可以是软件模块并存储于存储器中并由一个或多个处理器执行，例如这些模块71-73可以存储在发送卡上的存储器中并由可编程逻辑器件执行；模块74-79和80a及80可以存储在接收卡上的存储器中并由可编程逻辑器件执行。在其它实施例中，也可以将模块71-75存储在发送卡上的存储器中并由可编程逻辑器件执行，并将模块76-79和80a及80可以存储在接收卡上的存储器中并由可编程逻辑器件执行。
更具体地：输入模块71用于接收输入图像；提取模块72用于提取所述输入图像的各个像素数据在色亮分离颜色空间分别对应的像素亮度分量值；统计模块73用于对所述输入图像的所述像素亮度分量值按N个分段进行概率统计，其中所述N个分段具有(N+1)个初始分段节点且N为大于1 的正整数；分段节点计算模块74用于基于所述N个分段中的概率统计值和亮度调节因子获取(N+1)个目标分段节点；映射关系建立模块75用于利用所述(N+1)个初始分段节点和所述(N+1)个目标分段节点建立初始亮度分量值与目标亮度分量值之间的分段线性映射关系；图像截取模块80a用于进行图像截取以获取所述输入图像的全部或局部区域的像素数据作为后续映射用目标像素数据；第二提取模块80b用于提取所述目标像素数据在色亮分离颜色空间的像素亮度分量值；映射处理模块76用于将目标像素数据在所述色亮分离颜色空间分别对应的像素亮度分量值作为初始亮度分量值并根据所述分段线性映射关系对所述目标像素数据进行亮度分量映射处理；颜色空间转换模块77用于将亮度分量映射处理后的所述目标像素数据从所述色亮分离颜色空间转换到基色颜色空间；滤波处理模块78用于对转换至所述基色颜色空间的亮度分量映射处理后的所述目标像素数据进行滤波处理；以及输出模块79用于输出滤波处理后的所述目标像素数据至显示屏进行图像显示。至于这些模块71-79和80a及80b的具体功能细节可参见前述第一实施例中相关于步骤S11-S15以及子步骤S121-S125的执行细节，故在此不再赘述。
在本申请所提供的几个实施例中，应该理解到，所揭露的系统，装置和/或方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多路单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点， 所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多路网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本公开各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用硬件加软件功能单元的形式实现。
上述以软件功能单元的形式实现的集成的单元，可以存储在一个计算机可读取存储介质中。上述软件功能单元存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)的一个或多个处理器执行本公开各个实施例所述方法的部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(Read-Only Memory，简称ROM)、随机存取存储器(Random Access Memory，简称RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
最后应说明的是：以上实施例仅用以说明本公开的技术方案，而非对其限制；尽管参照前述实施例对本公开进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案 进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本公开各实施例技术方案的精神和范围。

Claims (15)

  1. 一种图像显示控制方法，包括：
    接收输入图像；
    对所述输入图像的目标像素数据进行亮度分量映射处理；
    将亮度分量映射处理后的所述目标像素数据从色亮分离颜色空间转换到基色颜色空间；
    对转换至所述基色颜色空间的亮度分量映射处理后的所述目标像素数据进行滤波处理；
    输出滤波处理后的所述目标像素数据像至显示屏进行图像显示。
  2. 根据权利要求1所述的图像显示控制方法，其中，对所述输入图像的目标像素数据进行亮度分量映射处理包括：
    提取所述输入图像的各个像素数据在所述色亮分离颜色空间分别对应的像素亮度分量值；
    对所述输入图像的所述像素亮度分量值按N个分段进行概率统计，其中所述N个分段具有(N+1)个初始分段节点且N为大于1的正整数；
    基于所述N个分段中的概率统计值和亮度调节因子获取(N+1)个目标分段节点；
    利用所述(N+1)个初始分段节点和所述(N+1)个目标分段节点建立初始亮度分量值与目标亮度分量值之间的分段线性映射关系；
    将所述输入图像的所述目标像素数据在所述色亮分离颜色空间分别对应的像素亮度分量值作为初始亮度分量值并根据所述分段线性映射关系对 所述目标像素数据进行亮度分量映射处理。
  3. 根据权利要求2所述的图像显示控制方法，其中，在提取所述输入图像的各个像素数据在所述色亮分离颜色空间分别对应的像素亮度分量值之前包括：将所述输入图像从基色颜色空间转换到所述色亮分离颜色空间。
  4. 根据权利要求1所述的图像显示控制方法，其中，包括：进行图像截取以得到对应所述输入图像的局部区域的所述目标像素数据。
  5. 根据权利要求1所述的图像显示控制方法，其中，基色颜色空间为RGB颜色空间，所述色亮分离颜色空间为YUV颜色空间或YCbCr颜色空间。
  6. 根据权利要求1所述的图像显示控制方法，其中，对转换至所述基色颜色空间的亮度分量映射处理后的所述目标像素数据进行滤波处理包括：对亮度分量映射处理后的所述目标像素数据在所述基色颜色空间的每一个颜色分量分别进行带通滤波处理。
  7. 一种显示屏控制系统，包括发送卡、接收卡和LED显示屏；所述接收卡连接在所述发送卡和LED显示屏之间；其中，所述发送卡被配置成：
    接收输入图像；
    对所述输入图像进行亮度分量映射处理；
    将亮度分量映射处理后的所述输入图像从色亮分离颜色空间转换到基色颜色空间；
    对转换至所述基色颜色空间的亮度分量映射处理后的所述输入图像进行滤波处理；
    输出滤波处理后的所述输入图像至所述接收卡以驱动所述LED显示屏 进行图像显示。
  8. 根据权利要求7所述的显示屏控制系统，其中，所述发送卡被配置成对所述输入图像进行亮度分量映射处理包括：
    提取所述输入图像的各个像素数据在所述色亮分离颜色空间分别对应的像素亮度分量值；
    对所述输入图像的所述像素亮度分量值按N个分段进行概率统计，其中所述N个分段具有(N+1)个初始分段节点且N为大于1的正整数；
    基于所述N个分段中的概率统计值和亮度调节因子获取(N+1)个目标分段节点；
    利用所述(N+1)个初始分段节点和所述(N+1)个目标分段节点建立初始亮度分量值与目标亮度分量值之间的分段线性映射关系；
    将所述输入图像的所述像素亮度分量值作为初始亮度分量值并根据所述分段线性映射关系对所述目标像素数据进行亮度分量映射处理。
  9. 一种显示屏控制系统，包括发送卡、接收卡和LED显示屏；所述接收卡连接在所述发送卡和LED显示屏间；其中，
    所述发送卡被配置成：
    接收输入图像；
    对所述输入图像的像素亮度分量值进行分段概率统计；
    所述接收卡被配置成：
    接收概率统计值；
    基于所述概率统计值对所述输入图像的局部区域像素数据进行亮 度分量映射处理；将亮度分量映射处理后的所述局部区域像素数据从色亮分离颜色空间转换到基色颜色空间；
    对转换至所述基色颜色空间的亮度分量映射处理后的所述局部区域像素数据进行滤波处理；以及
    输出滤波处理后的所述局部区域像素数据至所述LED显示屏进行图像显示。
  10. 根据权利要求9所述的显示屏控制系统，其中，所述发送卡被配置成对所述输入图像的像素亮度分量值进行分段概率统计包括：
    提取所述输入图像的各个像素数据在色亮分离颜色空间分别对应的像素亮度分量值；
    对所述输入图像的所述像素亮度分量值按N个分段进行概率统计，其中所述N个分段具有(N+1)个初始分段节点且N为大于1的正整数。
  11. 根据权利要求10所述的显示屏控制系统，其中，所述接收卡被配置成基于所述概率统计值对所述输入图像的局部区域像素数据进行亮度分量映射处理包括：
    基于所述N个分段中的概率统计值和亮度调节因子获取(N+1)个目标分段节点；
    利用所述(N+1)个初始分段节点和所述(N+1)个目标分段节点建立初始亮度分量值与目标亮度分量值之间的分段线性映射关系；
    截取所述输入图像的局部区域像素数据；
    将所述局部区域像素数据在所述色亮分离颜色空间分别对应的像素亮 度分量值作为初始亮度分量值并根据所述分段线性映射关系对所述局部区域像素数据进行亮度分量映射处理。
  12. 一种图像显示控制装置，包括：
    输入模块，用于接收输入图像；
    亮度分量映射模块，用于对所述输入图像的目标像素数据进行亮度分量映射处理；
    颜色空间转换模块，用于将亮度分量映射处理后的所述目标像素数据从色亮分离颜色空间转换到基色颜色空间；
    滤波处理模块，用于对转换至所述基色颜色空间的亮度分量映射处理后的所述目标像素数据进行滤波处理；
    输出模块，用于输出滤波处理后的所述目标像素数据至显示屏进行图像显示。
  13. 根据权利要求12所述的图像显示控制装置，其中，所述亮度分量映射模块包括：
    提取模块，用于提取所述输入图像的各个像素数据在色亮分离颜色空间分别对应的像素亮度分量值；
    统计模块，用于对所述输入图像的所述像素亮度分量值按N个分段进行概率统计，其中所述N个分段具有(N+1)个初始分段节点且N为大于1的正整数；
    分段节点计算模块，用于基于所述N个分段中的概率统计值和亮度调节因子获取(N+1)个目标分段节点；
    映射关系建立模块，用于利用所述(N+1)个初始分段节点和所述(N+1)个目标分段节点建立初始亮度分量值与目标亮度分量值之间的分段线性映射关系；
    映射处理模块，用于将所述输入图像的目标像素数据在所述色亮分离颜色空间分别对应的像素亮度分量值作为初始亮度分量值并根据所述分段线性映射关系对所述目标像素数据进行亮度分量映射。
  14. 根据权利要求12所述的图像显示控制装置，其中，所述图像显示控制装置包括：
    图像截取模块，用于进行图像截取以得到对应所述输入图像的局部区域的所述目标像素数据。
  15. 根据权利要求12所述的图像显示控制装置，其中，所述滤波处理模块用于：对亮度分量映射处理后的所述目标像素数据在所述基色颜色空间的每一个颜色分量分别进行带通滤波处理。
PCT/CN2017/101297 2017-04-14 2017-09-11 图像显示控制方法及装置和显示屏控制系统 WO2018188260A1 (zh)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US16/586,917 US10916174B2 (en) 2017-04-14 2019-09-28 Image display control method and device, and display screen control system

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710245547.1 2017-04-14
CN201710245547.1A CN107025880B (zh) 2017-04-14 2017-04-14 图像显示控制方法及装置和显示屏控制系统

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US16/586,917 Continuation US10916174B2 (en) 2017-04-14 2019-09-28 Image display control method and device, and display screen control system

Publications (1)

Publication Number Publication Date
WO2018188260A1 true WO2018188260A1 (zh) 2018-10-18

Family

ID=59526985

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/101297 WO2018188260A1 (zh) 2017-04-14 2017-09-11 图像显示控制方法及装置和显示屏控制系统

Country Status (3)

Country Link
US (1) US10916174B2 (zh)
CN (1) CN107025880B (zh)
WO (1) WO2018188260A1 (zh)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112346681A (zh) * 2019-08-09 2021-02-09 西安诺瓦星云科技股份有限公司 图像显示控制方法、装置及系统和计算机可读介质
CN114566117A (zh) * 2020-11-13 2022-05-31 西安诺瓦星云科技股份有限公司 显示驱动方法及装置和led显示系统

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107025880B (zh) * 2017-04-14 2019-11-29 西安诺瓦星云科技股份有限公司 图像显示控制方法及装置和显示屏控制系统
CN108628571B (zh) * 2018-03-29 2021-01-15 西安电子科技大学 一种显示屏节能方法
CN109727216B (zh) * 2018-12-28 2023-06-06 Oppo广东移动通信有限公司 图像处理方法、装置、终端设备及存储介质
WO2020256510A1 (ko) 2019-06-21 2020-12-24 현대자동차주식회사 코딩 툴들을 제어하는 방법 및 장치
KR20200145773A (ko) * 2019-06-21 2020-12-30 현대자동차주식회사 코딩 툴들을 제어하는 방법 및 장치
WO2021184369A1 (zh) * 2020-03-20 2021-09-23 西安诺瓦星云科技股份有限公司 屏幕显示的控制方法、装置和系统
CN112929625B (zh) * 2021-02-08 2023-04-21 北京奇艺世纪科技有限公司 一种显示素材渲染方法及装置
CN113257174B (zh) * 2021-04-26 2022-07-12 长春希达电子技术有限公司 一种led显示屏色度校正目标色域的确定方法
CN113299247B (zh) * 2021-06-08 2022-01-07 广州文石信息科技有限公司 一种彩色电子墨水屏显示效果的优化方法及相关装置
CN115631250B (zh) * 2021-08-10 2024-03-29 荣耀终端有限公司 图像处理方法与电子设备

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101009851A (zh) * 2007-01-19 2007-08-01 北京中星微电子有限公司 一种图像处理方法及其装置
CN101221659A (zh) * 2007-01-11 2008-07-16 中华映管股份有限公司 动态对比伸张电路与方法
KR20120025204A (ko) * 2010-09-07 2012-03-15 주식회사신도리코 영상 변환 장치 및 영상 변환 방법
CN102780889A (zh) * 2011-05-13 2012-11-14 中兴通讯股份有限公司 视频图像处理方法、装置及设备
CN102957919A (zh) * 2012-11-14 2013-03-06 四川长虹电器股份有限公司 一种数字图像亮度增强方法
CN104778920A (zh) * 2015-04-21 2015-07-15 西安诺瓦电子科技有限公司 Led显示屏的拼接亮暗线补偿方法
CN105976405A (zh) * 2016-05-06 2016-09-28 深圳Tcl新技术有限公司 Rgb图像处理方法及系统
CN107025880A (zh) * 2017-04-14 2017-08-08 西安诺瓦电子科技有限公司 图像显示控制方法及装置和显示屏控制系统

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6807319B2 (en) * 2000-06-12 2004-10-19 Sharp Laboratories Of America, Inc. Methods and systems for improving display resolution in achromatic images using sub-pixel sampling and visual error filtering
US6778183B1 (en) * 2002-07-10 2004-08-17 Genesis Microchip Inc. Method and system for adaptive color and contrast for display devices
US7471843B2 (en) * 2004-02-04 2008-12-30 Sharp Laboratories Of America, Inc. System for improving an image displayed on a display
CN1874524A (zh) * 2006-06-19 2006-12-06 海信集团有限公司 改善液晶电视机色彩对比度的数字视频处理方法及装置
KR100849845B1 (ko) * 2006-09-05 2008-08-01 삼성전자주식회사 영상 보정 방법 및 장치
TW200950536A (en) * 2008-05-19 2009-12-01 Wintek Corp Method of displaying images
CN102231264B (zh) * 2011-06-28 2013-03-06 王洪剑 动态对比度增强装置和方法
US9582866B2 (en) * 2015-03-10 2017-02-28 Via Technologies, Inc. Adaptive contrast enhancement apparatus and method
KR102059256B1 (ko) * 2015-06-05 2019-12-24 애플 인크. Hdr 콘텐츠의 렌더링 및 디스플레이
CN106328046B (zh) * 2015-07-09 2018-11-30 西安诺瓦电子科技有限公司 Led显示屏驱动控制方法

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101221659A (zh) * 2007-01-11 2008-07-16 中华映管股份有限公司 动态对比伸张电路与方法
CN101009851A (zh) * 2007-01-19 2007-08-01 北京中星微电子有限公司 一种图像处理方法及其装置
KR20120025204A (ko) * 2010-09-07 2012-03-15 주식회사신도리코 영상 변환 장치 및 영상 변환 방법
CN102780889A (zh) * 2011-05-13 2012-11-14 中兴通讯股份有限公司 视频图像处理方法、装置及设备
CN102957919A (zh) * 2012-11-14 2013-03-06 四川长虹电器股份有限公司 一种数字图像亮度增强方法
CN104778920A (zh) * 2015-04-21 2015-07-15 西安诺瓦电子科技有限公司 Led显示屏的拼接亮暗线补偿方法
CN105976405A (zh) * 2016-05-06 2016-09-28 深圳Tcl新技术有限公司 Rgb图像处理方法及系统
CN107025880A (zh) * 2017-04-14 2017-08-08 西安诺瓦电子科技有限公司 图像显示控制方法及装置和显示屏控制系统

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112346681A (zh) * 2019-08-09 2021-02-09 西安诺瓦星云科技股份有限公司 图像显示控制方法、装置及系统和计算机可读介质
CN112346681B (zh) * 2019-08-09 2023-01-10 西安诺瓦星云科技股份有限公司 图像显示控制方法、装置及系统和计算机可读介质
CN114566117A (zh) * 2020-11-13 2022-05-31 西安诺瓦星云科技股份有限公司 显示驱动方法及装置和led显示系统
CN114566117B (zh) * 2020-11-13 2023-09-12 西安诺瓦星云科技股份有限公司 显示驱动方法及装置和led显示系统

Also Published As

Publication number Publication date
US20200027386A1 (en) 2020-01-23
CN107025880A (zh) 2017-08-08
US10916174B2 (en) 2021-02-09
CN107025880B (zh) 2019-11-29

Similar Documents

Publication Publication Date Title
WO2018188260A1 (zh) 图像显示控制方法及装置和显示屏控制系统
US20060152603A1 (en) White balance correction in digital camera images
US10354364B2 (en) Automatic perspective control using vanishing points
CN103747225B (zh) 基于颜色空间转换的高动态范围图像双屏显示方法
CN110572637B (zh) 图像异常的检测方法、终端设备及存储介质
KR20100083706A (ko) 멀티-컴포넌트 디스플레이의 디스플레이 품질 향상을 위한 시스템 및 방법
US8860806B2 (en) Method, device, and system for performing color enhancement on whiteboard color image
US11195482B2 (en) Display device and driving method thereof
US11302270B2 (en) Display device and driving method thereof
WO2021196036A1 (zh) 图像处理的系统、方法和装置
US10178359B2 (en) Macropixel processing system, method and article
US11039153B2 (en) Efficient processing of translucent objects in video keying
CN107277369A (zh) 图像处理方法、装置、计算机可读存储介质和计算机设备
CN107948652B (zh) 一种进行图像转换的方法和设备
CN105976343B (zh) 图片曝光的校正方法、装置及智能设备
CN107358904B (zh) 将rgb图像显示在rgbw面板上的方法及装置
CN109509161B (zh) 图像增强装置及图像增强方法
CN114449231B (zh) 一种图像转换方法及设备
US9898831B2 (en) Macropixel processing system, method and article
US9554107B2 (en) Method and apparatus for reducing color fringing in composite images
US20200413024A1 (en) Automatic System for Production-Grade Stereo Image Enhancements
US20230069744A1 (en) Method of operating assessment device assessing color distortion of image sensor
US10068342B2 (en) Macropixel processing system, method and article
US9811920B2 (en) Macropixel processing system, method and article
CN116437225A (zh) 图像处理方法、装置、设备及存储介质、图像采集系统

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17905101

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 04/03/2020)

122 Ep: pct application non-entry in european phase

Ref document number: 17905101

Country of ref document: EP

Kind code of ref document: A1