WO2017045218A1 - 一种图像的自适应转换方法 - Google Patents

一种图像的自适应转换方法 Download PDF

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WO2017045218A1
WO2017045218A1 PCT/CN2015/090203 CN2015090203W WO2017045218A1 WO 2017045218 A1 WO2017045218 A1 WO 2017045218A1 CN 2015090203 W CN2015090203 W CN 2015090203W WO 2017045218 A1 WO2017045218 A1 WO 2017045218A1
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value
pixel
primary color
grayscale value
calculating
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French (fr)
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李�浩
周明忠
许神贤
金羽峰
李霖
王荣刚
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TCL China Star Optoelectronics Technology Co Ltd
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Shenzhen China Star Optoelectronics Technology Co Ltd
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    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
    • G09G3/2003—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
    • G09G3/2007—Display of intermediate tones
    • G09G3/2074—Display of intermediate tones using sub-pixels
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/46—Colour picture communication systems
    • H04N1/56—Processing of colour picture signals
    • H04N1/60—Colour correction or control
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/46—Colour picture communication systems
    • H04N1/56—Processing of colour picture signals
    • H04N1/60—Colour correction or control
    • H04N1/6002—Corrections within particular colour systems
    • H04N1/6008—Corrections within particular colour systems with primary colour signals, e.g. RGB or CMY(K)
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/46—Colour picture communication systems
    • H04N1/56—Processing of colour picture signals
    • H04N1/60—Colour correction or control
    • H04N1/6027—Correction or control of colour gradation or colour contrast
    • 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
    • H04N9/68—Circuits for processing colour signals for controlling the amplitude of colour signals, e.g. automatic chroma control circuits
    • H04N9/69—Circuits for processing colour signals for controlling the amplitude of colour signals, e.g. automatic chroma control circuits for modifying the colour signals by gamma correction
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2300/00—Aspects of the constitution of display devices
    • G09G2300/04—Structural and physical details of display devices
    • G09G2300/0439—Pixel structures
    • G09G2300/0452—Details of colour pixel setup, e.g. pixel composed of a red, a blue and two green components
    • 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
    • G09G2320/02—Improving the quality of display appearance
    • G09G2320/0233—Improving the luminance or brightness uniformity across the screen
    • 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
    • G09G2320/00—Control of display operating conditions
    • G09G2320/06—Adjustment of display parameters
    • G09G2320/0673—Adjustment of display parameters for control of gamma adjustment, e.g. selecting another gamma curve
    • 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

Definitions

  • the present invention relates to the field of display technologies, and in particular, to an adaptive conversion method for an image.
  • one pixel is composed of R (Red) sub-pixel, G (Green) sub-pixel, and B (Blue) sub-pixel.
  • R (Red) sub-pixel By controlling the grayscale value (i.e., RGB value) of each sub-pixel, the desired color is mixed to display the image.
  • RGB value the grayscale value
  • a pixel consisting of R sub-pixels, G sub-pixels, B sub-pixels, and W (White, white) sub-pixels appears.
  • the display panel also known as the RGBW display panel.
  • the RGBW display panel needs to perform RGB to RGBW color space conversion when the image is displayed, that is, convert the RGB image into an RGBW image.
  • the minimum value of the input RGB value is taken as the output W value.
  • the addition of W sub-pixels has greatly improved the display brightness of the RGBW display panel, while also reducing power consumption.
  • the display brightness is increased, so that the RGBW display panel is smaller than the RGB display panel, and the range of the display color gamut becomes small, and the color saturation is deviated, which affects the display quality.
  • an embodiment of the present invention provides an adaptive conversion method for an image.
  • color space conversion of RGB to RGBW is implemented, the display brightness of the RGBW display panel can be improved, and the color saturation deviation can be improved to ensure display quality.
  • An adaptive conversion method for an image includes: acquiring an original grayscale value of each primary color component of a plurality of pixel points in an input image, where the multiple pixel points are all pixel points included in the input image or Inputting all the pixels included in a partial region of the image; normalizing the original grayscale values and performing linearization processing by inverse gamma correction to obtain a first intermediate grayscale value of each primary color component of each pixel; Calculating a color saturation degree of each pixel point according to a first intermediate gray scale value of each primary color component; calculating a first intermediate gray scale value and each primary color component of the white light component of each pixel point according to the first intermediate gray scale value of each primary color component Second intermediate grayscale value; according to multiple images Calculating a global gain value by a first intermediate grayscale value of a white light component of the prime point and a second intermediate grayscale value of each primary color component; calculating a maximum local gain value according to a preset total gain upper limit value and a global gain value; Calculating
  • the step of normalizing the original gray scale value and then performing linearization processing by inverse gamma correction includes: calculating a first intermediate gray scale value of each of the primary color components by using the following formula,
  • the step of calculating the color saturation of each pixel point according to the first intermediate gray scale value of each primary color component comprises: calculating the color saturation of each pixel point by using the following formula,
  • the step of calculating the global gain value according to the first intermediate grayscale value of the white light component of the plurality of pixel points and the second intermediate grayscale value of each of the primary color components comprises: calculating the global gain value by using the following formula,
  • the step of calculating the maximum local gain value according to the preset total gain upper limit value and the global gain value includes:
  • the K lm is a maximum local gain value
  • the K limit is a preset total gain upper limit value
  • the K f is a global gain value
  • the local gain value of each pixel is calculated by the following formula.
  • the K is the total gain value for each pixel point.
  • the step of performing brightness enhancement on the first intermediate grayscale value of the white light component of each pixel point and the second intermediate grayscale value of each primary color component according to the total gain value of each pixel point includes: calculating each by the following formula a second intermediate grayscale value of a white light component of the pixel and a third intermediate grayscale value of each primary color component,
  • RGBW i2 RGBW i1 *K
  • the RGBW i2 is a second intermediate grayscale value of a white light component of each pixel point and a third intermediate grayscale value of each primary color component, the RGBW i1 being a first intermediate grayscale value of a white light component of each pixel point And a second intermediate grayscale value of each of the primary color components, the K being a total gain value for each pixel.
  • the step of performing gamma correction on the second intermediate grayscale value of the white light component of each pixel and the third intermediate grayscale value of each primary color component, and mapping to the corresponding display range of the output image includes: calculating by using the following formula a white light component of a corresponding pixel in the output image and a final grayscale value of each primary color component,
  • the RGBW out is a white light component of a corresponding pixel in the output image and a final grayscale value of each primary color component
  • RGBW i2 is a second intermediate grayscale value of the white light component of each pixel and a third intermediate of each primary color component Gray scale value
  • the H2 is the maximum gray scale value allowed by the output image
  • the ⁇ is a gamma correction factor.
  • An adaptive conversion method for an image includes: acquiring an original grayscale value of each primary color component of a plurality of pixel points in an input image; normalizing the original grayscale value and performing linearity through inverse gamma correction Processing to obtain a first intermediate grayscale value of each primary color component of each pixel; calculating a color saturation of each pixel according to a first intermediate grayscale value of each primary color component; according to the first intermediate of each primary color component a grayscale value calculates a first intermediate grayscale value of a white light component of each pixel point and a second intermediate grayscale value of each primary color component; a first intermediate grayscale value and a respective primary color component of the white light component of the plurality of pixel points
  • the second intermediate gray scale value calculates a global gain value; the total gain value of each pixel point is calculated according to the global gain value and the color saturation of each pixel point; The total gain value of the pixel is brightness-enhanced to the first intermediate grayscale value of the white light component of each pixel
  • the step of normalizing the original gray scale value and then performing linearization processing by inverse gamma correction includes: calculating a first intermediate gray scale value of each of the primary color components by using the following formula,
  • the RGB is an original grayscale value of each primary color component of each pixel
  • the RGB i is a first intermediate grayscale value of each primary color component of each pixel
  • the H1 is the maximum gray allowed by the input image.
  • the order value, the ⁇ being a gamma correction factor.
  • the step of calculating the color saturation of each pixel point according to the first intermediate gray scale value of each primary color component comprises: calculating the color saturation of each pixel point by using the following formula,
  • Chroma is the color saturation of each pixel, a minimum value M i of the first middle gray value of each primary color components of each pixel in the M a for each pixel in each color The maximum of the first intermediate grayscale values of the component.
  • the step of calculating the first intermediate grayscale value of the white light component of each pixel point and the second intermediate grayscale value of each primary color component according to the first intermediate grayscale value of each primary color component comprises: calculating each pixel by the following formula a first intermediate grayscale value of a white light component of the point and a second intermediate grayscale value of each primary color component,
  • RGB i1 RGB i -W i1
  • the step of calculating the global gain value according to the first intermediate grayscale value of the white light component of the plurality of pixel points and the second intermediate grayscale value of each of the primary color components comprises: calculating the global gain value by using the following formula,
  • the K f is a global gain value
  • the Max frame is a maximum of a first intermediate gray scale value of a white light component of the plurality of pixel points and a second intermediate gray scale value of each of the primary color components.
  • the Max frame is a maximum of a first intermediate grayscale value of a white light component of all pixel points of the input image and a second intermediate grayscale value of each primary color component.
  • the step of calculating the total gain value of each pixel point according to the global gain value and the color saturation of each pixel point comprises: calculating the maximum local gain value according to the preset total gain upper limit value and the global gain value; The gain value and the color saturation of each pixel point are used to calculate a local gain value for each pixel point; the total gain value for each pixel point is calculated based on the global gain value and the local gain value for each pixel point.
  • the step of calculating the maximum local gain value according to the preset total gain upper limit value and the global gain value includes:
  • K lm K limit -K f
  • the K lm is a maximum local gain value
  • the K limit is a preset total gain upper limit value
  • the K f is a global gain value
  • the local gain value of each pixel is calculated by the following formula.
  • the K l is a local gain value of each pixel, and the Chroma is a color saturation of each pixel;
  • K K l +K f
  • the K is the total gain value for each pixel point.
  • the step of performing brightness enhancement on the first intermediate grayscale value of the white light component of each pixel point and the second intermediate grayscale value of each primary color component according to the total gain value of each pixel point includes: calculating each by the following formula a second intermediate grayscale value of a white light component of the pixel and a third intermediate grayscale value of each primary color component,
  • RGBW i2 RGBW i1 *K
  • the RGBW i2 is a second intermediate grayscale value of a white light component of each pixel point and a third intermediate grayscale value of each primary color component, the RGBW i1 being a first intermediate grayscale value of a white light component of each pixel point And a second intermediate grayscale value of each of the primary color components, the K being a total gain value for each pixel.
  • the step of performing gamma correction on the second intermediate grayscale value of the white light component of each pixel and the third intermediate grayscale value of each primary color component, and mapping to the corresponding display range of the output image includes: calculating by using the following formula a white light component of a corresponding pixel in the output image and a final grayscale value of each primary color component,
  • the RGBW out is a white light component of a corresponding pixel in the output image and a final grayscale value of each primary color component
  • RGBW i2 is a second intermediate grayscale value of the white light component of each pixel and a third intermediate of each primary color component Gray scale value
  • the H2 is the maximum gray scale value allowed by the output image
  • the ⁇ is a gamma correction factor.
  • the adaptive conversion method of the image according to the embodiment of the present invention distinguishes pixel points according to the color saturation of the pixel points of the input RGB image, and performs corresponding gain on the pixel points of different color saturations, so that the pixels of the output RGBW image are made. The point is also gained, so that the display brightness can be improved while the color saturation deviation is improved to ensure display quality.
  • FIG. 1 is a schematic flow chart of an embodiment of an adaptive conversion method of an image of the present invention
  • FIG. 2 is a schematic diagram of a sub-pixel arrangement in which an RGB image of the present invention is converted into an RGBW image
  • FIG 3 is a flat view of the RGBW image output by the method shown in Figure 1 and the prior art method, respectively.
  • FIG. 4 is a graph showing the average color deviation of an RGBW image output by the method shown in FIG. 1 and the prior art method, respectively.
  • FIG. 1 is a schematic flow chart of an embodiment of an adaptive conversion method for an image of the present invention, which is applicable to color space conversion of three primary color components to four color components, for example, color space conversion of RGB to RGBW, that is, a display device Convert RGB images to RGBW images. 2, it can be understood as: for example, the grayscale values of the three sub-pixels R, G, and B of the RGB image from the dashed block diagram and the R, G, B, and W after the color space conversion at the corresponding position. The grayscale values of the four subpixels correspond.
  • the display device according to the embodiment of the present invention includes, but is not limited to, an OLED (Organic Light-Emitting Diode) display, and a liquid crystal display (LCD).
  • OLED Organic Light-Emitting Diode
  • LCD liquid crystal display
  • the adaptive conversion method of the image includes:
  • S11 Acquire an original grayscale value of each primary color component of the plurality of pixel points in the input image.
  • S12 Normalize the original grayscale value and perform linearization processing by inverse gamma correction to obtain a first intermediate grayscale value of each primary color component of each pixel.
  • the linearization process represents a process of converting an input RGB value into a value that is linearly proportional to the output luminance.
  • the first intermediate grayscale value of each primary color component of each pixel point may be calculated by, but not limited to, the following formula 1-1.
  • RGB is the original grayscale value of the three primary color components of R, G, and B of each pixel
  • RGB i is the first intermediate grayscale value of each primary color component of each pixel
  • H1 is allowed by the input image.
  • the maximum grayscale value, ⁇ is the gamma correction factor.
  • Equation 1-1 should be understood as: When calculating the first intermediate grayscale value of the R primary color component, RGB is the original grayscale value of the R primary color component of each pixel, and RGB i is the pixel of each pixel. a first intermediate grayscale value of the R primary color component; when calculating the first intermediate grayscale value of the G primary color component, RGB is the original grayscale value of the G primary color component of each pixel, and RGB i is the pixel of each pixel a first intermediate grayscale value of the G primary color component; when calculating the first intermediate grayscale value of the B primary color component, RGB is the original grayscale value of the B primary color component of each pixel, and RGB i is the pixel of each pixel The first intermediate grayscale value of the B primary color component.
  • the embodiment of the present invention can calculate the color saturation of each pixel point by using, but not limited to, the following formula 1-2.
  • Chroma is the color saturation of each pixel
  • G i is a first intermediate grayscale value of a G primary color component of each pixel
  • B i is a first intermediate gray of a B primary color component of each pixel Order value.
  • S14 Calculate a first intermediate grayscale value of the white light component of each pixel point and a second intermediate grayscale value of each primary color component according to the first intermediate grayscale value of each primary color component.
  • the first intermediate grayscale value of the white light component of each pixel point may be calculated by, but not limited to, the following formula 1-3, and each primary color of each pixel point may be calculated by, but not limited to, the following formula 1-4.
  • the second intermediate grayscale value of the component is the first intermediate grayscale value of the white light component of each pixel point.
  • RGB i1 RGB i -W i1 ... Equation 1-4
  • W i1 is the first intermediate gray scale value of the white light component W of each pixel point
  • RGB i1 is the pixel of each pixel point.
  • Equations 1-4 should be understood as: When calculating the second intermediate grayscale value of the R primary color component, RGB i is the first intermediate grayscale value of the R primary color component of each pixel, and RGB i1 is each a second intermediate grayscale value of the R primary color component of the pixel; when calculating the second intermediate grayscale value of the G primary color component, RGB i is the first intermediate grayscale value of the G primary color component of each pixel, and RGB i1 a second intermediate grayscale value of the G primary color component of each pixel; when calculating a second intermediate grayscale value of the B primary color component, RGB i is a first intermediate grayscale value of the B primary color component of each pixel, And RGB i1 is the second intermediate grayscale value of the B primary color component of each pixel.
  • S15 Calculate a global gain value according to a first intermediate grayscale value of a white light component of the plurality of pixel points and a second intermediate grayscale value of each primary color component.
  • the embodiment of the present invention can calculate the global gain value by using, but not limited to, the following formula 1-5.
  • Max frame is a maximum value of a first intermediate gray scale value of a white light component of a plurality of pixel points and a second intermediate gray scale value of each primary color component, that is,
  • W*H is the resolution of the input image
  • W is the width of the input image
  • H is the height of the input image
  • x is any one of a plurality of pixels.
  • the plurality of pixel points may be a plurality of pixel points of a partial region in the input image (ie, RGB image), or may be all pixel points included in the entire input image.
  • the Max frame is understood as a first intermediate grayscale value of a white light component of all pixel points of the input image and a second intermediate gray of each primary color component. The maximum value in the order value.
  • the maximum local gain value can be calculated based on the preset total gain upper limit value and the global gain value.
  • the maximum local gain value is calculated by the following formula 1-6.
  • the local gain value of each pixel point is calculated based on the maximum local gain value and the color saturation of each pixel.
  • the local gain value is calculated by the following formula 1-7,
  • the total gain value for each pixel is calculated based on the global gain value and the local gain value for each pixel.
  • the total gain value of each pixel is calculated by the following formula 1-8.
  • K lm is the maximum local gain value
  • K limit is the preset total gain upper limit value
  • K l is the local gain value of each pixel point
  • K is The total gain value for each pixel.
  • S17 Perform brightness enhancement on a first intermediate grayscale value of a white light component of each pixel point and a second intermediate grayscale value of each primary color component according to a total gain value of each pixel to obtain a white light component of each pixel point. a second intermediate grayscale value and a third intermediate grayscale value of each primary color component.
  • the second intermediate grayscale value of the white light component of each pixel point and the third intermediate grayscale value of each primary color component may be calculated by, but not limited to, the following formula 1-9.
  • RGBW i2 RGBW i1 *K...Formula 1-9
  • RGBW i2 is a second intermediate grayscale value of a white light component of each pixel point and a third intermediate grayscale value of each primary color component
  • RGBW i1 is a first intermediate grayscale value of each white light component of each pixel point and each The second intermediate grayscale value of the primary color component.
  • RGBW i1 is the first intermediate gray scale value of the white light component of each pixel point
  • RGBW i2 is each pixel a third intermediate grayscale value of the white light component of the point
  • RGBW i1 is a second intermediate grayscale value of the R primary color component of each pixel
  • RGBW i2 is a third intermediate grayscale value of the R primary color component of one pixel
  • RGBW i1 is a second intermediate grayscale value of the G primary color component of each pixel
  • RGBW I2 is the third intermediate grayscale value of the G primary color component of each pixel
  • RGBW i1 is the second intermediate grayscale value of the B primary component of each pixel
  • RGBW i2 is the third intermediate grayscale value of the third intermediate grayscale value of the B primary component
  • S18 Perform gamma correction on the second intermediate grayscale value of the white light component of each pixel and the third intermediate grayscale value of each primary color component, and map to the corresponding display range of the output image to obtain a correspondence in the output image.
  • the embodiment of the present invention may calculate, by, but not limited to, the following formula 1-10, the white light component of the corresponding pixel in the output image and the final grayscale value of each primary color component.
  • RGBW out is the white light component of the corresponding pixel in the output image and the final grayscale value of each primary color component
  • H2 is the maximum grayscale value allowed by the output image
  • Equation 1-10 should be understood as: When calculating the final grayscale value of the white light component, RGBW i2 is the second intermediate grayscale value of the white light component of each pixel point, and RGBW out is the final of the white light component of each pixel point.
  • Gray scale value when calculating the final gray scale value of the R primary color component, RGBW i2 is the third intermediate gray scale value of the R primary color component of each pixel point, and RGBW out is the final gray of the R primary color component of each pixel point Step value; when calculating the final gray scale value of the G primary color component, RGBW i2 is the third intermediate gray scale value of the G primary color component of each pixel point, and RGBW out is the final gray scale of the G primary color component of each pixel point Value; when calculating the final grayscale value of the B primary color component, RGBW i2 is the third intermediate grayscale value of the B primary color component of each pixel, and RGBW out is the final grayscale value of the B primary color component of each pixel .
  • the embodiment of the present invention substantially distinguishes pixel points according to the color saturation of the pixel points of the input RGB image, and performs corresponding gain on the pixel points of different color saturations, so that the pixel points of the output RGBW image are also The corresponding gain is performed, so that the display brightness can be improved, the color saturation deviation can be improved, and the display quality can be ensured.
  • RGB to RGBW can be performed by CIE (Commission Internationale de l'Eclairage) Lab colorimetric model to meet the beneficial effects of the method of the embodiment of the present invention.
  • CIE Commission Internationale de l'Eclairage
  • the average brightness increase amplitude of the output RGBW image can be calculated by the following formula 2-1, thereby obtaining a schematic diagram of the curve shown in FIG. 3, where L m1 is the average brightness increase range of the RGBW image output by the method shown in FIG. 1 .
  • the curve, L m2 is a curve of the average brightness increase amplitude of the RGBW image output by the prior art method, the abscissa represents the sequence of the sampled 25 images, and the ordinate represents the average brightness increase range (in the form of a percentage);
  • the average color deviation of the output RGBW image can be calculated by the following formula 2-2, thereby obtaining a graph as shown in FIG. 4, where L m3 is a curve of the average color deviation of the RGBW image output by the method shown in FIG. 1, L m4
  • the abscissa represents a sequence of 25 images sampled, and the ordinate represents an average color deviation.
  • D L is the average brightness increase range
  • L RGBW is a white light component of each pixel in the output RGBW image and a gray scale value normalized by each primary color component
  • L RGB is in the input RGB image.
  • a normalized grayscale value of each primary color component of each pixel D C is the average color deviation
  • a RGBW and b RGBW are normalized for the white light component and each primary color component of each pixel in the RGBW image.
  • the two components of the latter color information, a RGB and b RGB are the white light component of each pixel in the RGB image and the two components of the color information normalized by the respective primary color components.
  • the method of the embodiment of the present invention can achieve a higher average brightness gain than the prior art, and it can be seen from FIG. 4 that the method of the embodiment of the present invention can also reduce the color saturation. deviation.

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Abstract

本发明提供一种图像的自适应转换方法，包括：计算RGB图像的像素点的色彩饱和度以及各基色分量的原始灰阶值，并据此计算各像素点的全局增益值；根据全局增益值和每一像素点的色彩饱和度计算每一像素点的总增益值；根据每一像素点的总增益值对每一像素点的白光分量和各基色分量的灰阶值进行增益，以输出RGBW图像。本发明实现RGB到RGBW的颜色空间转换时，能够在提高显示面板的显示亮度的同时，改善色彩饱和度偏差，确保其显示品质。

Description

一种图像的自适应转换方法 【技术领域】
本发明涉及显示技术领域，具体涉及一种图像的自适应转换方法。
【背景技术】
在当前的RGB显示面板中，以R(Red，红色)子像素、G(Green，绿色)子像素和B(Blue，蓝色)子像素组成一个像素。通过控制每个子像素的灰阶值(即RGB值)，混合出所需色彩来显示图像。随着人们对显示面板的高透过率、低功耗、成像品质佳的需求的增加，出现了由R子像素、G子像素、B子像素和W(White，白色)子像素组成一个像素的显示面板，又称为RGBW显示面板。
RGBW显示面板在图像显示时需要进行RGB到RGBW的颜色空间转换，即将RGB图像转换为RGBW图像，对此现有技术是将输入的RGB值的最小值作为输出的W值。W子像素的加入使得RGBW显示面板的显示亮度得到了极大的提升，同时也降低了功耗。但是，显示亮度的提升，使得RGBW显示面板相比较于RGB显示面板，其显示色域的范围变小，色彩饱和度会出现偏差，影响显示品质。
【发明内容】
鉴于此，本发明实施例提供一种图像的自适应转换方法，实现RGB到RGBW的颜色空间转换时，能够在提高RGBW显示面板的显示亮度的同时，改善色彩饱和度偏差，确保其显示品质。
本发明实施例提供的图像的自适应转换方法，包括：获取输入图像中的多个像素点的各基色分量的原始灰阶值，所述多个像素点为输入图像所包含的全部像素点或输入图像的部分区域所包含的全部像素点；将原始灰阶值归一化后通过反伽马校正进行线性化处理，以获得每一像素点的各基色分量的第一中间灰阶值；根据各基色分量的第一中间灰阶值计算每一像素点的色彩饱和度；根据各基色分量的第一中间灰阶值计算每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值；根据多个像 素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值计算全局增益值；根据预先设置的总增益上限值和全局增益值计算最大局部增益值；根据最大局部增益值和每一像素点的色彩饱和度计算每一像素点的局部增益值；根据全局增益值和每一像素点的局部增益值计算每一像素点的总增益值；根据每一像素点的总增益值对每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值进行亮度增强，以获得每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值；对每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值进行伽马校正，并映射到输出图像的对应显示范围，以获得输出图像中的对应像素点的白光分量和各基色分量的最终灰阶值。
其中，将原始灰阶值归一化后通过反伽马校正进行线性化处理的步骤包括：通过以下公式计算所述各基色分量的第一中间灰阶值，
Figure PCTCN2015090203-appb-000001
所述RGB为每一像素点的各基色分量的原始灰阶值，所述RGBi为每一像素点的各基色分量的第一中间灰阶值，所述H1为输入图像所容许的最大灰阶值，所述γ为伽马校正因子。
其中，根据各基色分量的第一中间灰阶值计算每一像素点的色彩饱和度的步骤包括：通过以下公式计算每一像素点的色彩饱和度，
Figure PCTCN2015090203-appb-000002
所述Chroma为每一像素点的色彩饱和度，所述Mi为每一像素点的各基色分量的第一中间灰阶值中的最小值，所述Ma为每一像素点的各基色分量的第一中间灰阶值中的最大值。
其中，根据各基色分量的第一中间灰阶值计算每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值的步骤包括：通过以下公式计算每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值，
Figure PCTCN2015090203-appb-000003
RGBi1＝RGBi-Wi1
所述Wi1为每一像素点的白光分量的第一中间灰阶值，所述Mi为每一像素点的各基色分量的第一中间灰阶值中的最小值，所述Ma为每一像素点的各基色分量的第一中间灰阶值中的最大值，所述RGBi每一像素点的各基色分量的第一中间灰阶值，所述RGBi1为每一像素点的各基色分量的第二中间灰阶值。
其中，根据多个像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值计算全局增益值的步骤包括：通过以下公式计算全局增益值，
Figure PCTCN2015090203-appb-000004
所述Kf为全局增益值，所述Maxframe为多个像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值中的最大值。
其中，所述Maxframe为输入图像的全部像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值中的最大值。
其中，根据预先设置的总增益上限值和全局增益值计算最大局部增益值的步骤包括：
通过以下公式计算最大局部增益值，
Klm＝Klimit-Kf
所述Klm为最大局部增益值，所述Klimit为预先设置的总增益上限值，所述Kf为全局增益值；
根据最大局部增益值和每一像素点的色彩饱和度计算每一像素点的局部增益值的步骤包括：
通过以下公式计算每一像素点的局部增益值，
Kl＝(1-Chroma)*Klm
所述Kl为每一像素点的局部增益值，所述Chroma为每一像素点的色彩饱和度；
根据全局增益值和每一像素点的局部增益值计算每一像素点的总增益值的步骤包括：
通过以下公式计算每一像素点的总增益值，
K＝Kl+Kf
所述K为每一像素点的总增益值。
其中，根据每一像素点的总增益值对每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值进行亮度增强的步骤包括：通过以下公式计算每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值，
RGBWi2＝RGBWi1*K
所述RGBWi2为每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值，所述RGBWi1为每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值，所述K为每一像素点的总增益值。
其中，对每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值进行伽马校正，并映射到输出图像的对应显示范围的步骤包括：通过以下公式计算输出图像中的对应像素点的白光分量和各基色分量的最终灰阶值，
Figure PCTCN2015090203-appb-000005
所述RGBWout为输出图像中的对应像素点的白光分量和各基色分量的最终灰阶值，RGBWi2为每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值，所述H2为输出图像所容许的最大灰阶值，所述γ为伽马校正因子。
本发明实施例提供的图像的自适应转换方法，包括：获取输入图像中的多个像素点的各基色分量的原始灰阶值；将原始灰阶值归一化后通过反伽马校正进行线性化处理，以获得每一像素点的各基色分量的第一中间灰阶值；根据各基色分量的第一中间灰阶值计算每一像素点的色彩饱和度；根据各基色分量的第一中间灰阶值计算每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值；根据多个像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值计算全局增益值；根据全局增益值和每一像素点的色彩饱和度计算每一像素点的总增益值；根据每一 像素点的总增益值对每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值进行亮度增强，以获得每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值；对每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值进行伽马校正，并映射到输出图像的对应显示范围，以获得输出图像中的对应像素点的白光分量和各基色分量的最终灰阶值。
其中，将原始灰阶值归一化后通过反伽马校正进行线性化处理的步骤包括：通过以下公式计算所述各基色分量的第一中间灰阶值，
Figure PCTCN2015090203-appb-000006
所述RGB为每一像素点的各基色分量的原始灰阶值，所述RGBi为每一像素点的各基色分量的第一中间灰阶值，所述H1为输入图像所容许的最大灰阶值，所述γ为伽马校正因子。
其中，根据各基色分量的第一中间灰阶值计算每一像素点的色彩饱和度的步骤包括：通过以下公式计算每一像素点的色彩饱和度，
Figure PCTCN2015090203-appb-000007
所述Chroma为每一像素点的色彩饱和度，所述Mi为每一像素点的各基色分量的第一中间灰阶值中的最小值，所述Ma为每一像素点的各基色分量的第一中间灰阶值中的最大值。
其中，根据各基色分量的第一中间灰阶值计算每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值的步骤包括：通过以下公式计算每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值，
Figure PCTCN2015090203-appb-000008
RGBi1＝RGBi-Wi1
所述Wi1为每一像素点的白光分量的第一中间灰阶值，所述Mi为每一像素点的各基色分量的第一中间灰阶值中的最小值，所述Ma为每一像素点 的各基色分量的第一中间灰阶值中的最大值，所述RGBi每一像素点的各基色分量的第一中间灰阶值，所述RGBi1为每一像素点的各基色分量的第二中间灰阶值。
其中，根据多个像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值计算全局增益值的步骤包括：通过以下公式计算全局增益值，
Figure PCTCN2015090203-appb-000009
所述Kf为全局增益值，所述Maxframe为多个像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值中的最大值。
其中，所述Maxframe为输入图像的全部像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值中的最大值。
其中，根据全局增益值和每一像素点的色彩饱和度计算每一像素点的总增益值的步骤包括：根据预先设置的总增益上限值和全局增益值计算最大局部增益值；根据最大局部增益值和每一像素点的色彩饱和度计算每一像素点的局部增益值；根据全局增益值和每一像素点的局部增益值计算每一像素点的总增益值。
其中，根据预先设置的总增益上限值和全局增益值计算最大局部增益值的步骤包括：
通过以下公式计算最大局部增益值，
Klm＝Klimit-Kf
所述Klm为最大局部增益值，所述Klimit为预先设置的总增益上限值，所述Kf为全局增益值；
根据最大局部增益值和每一像素点的色彩饱和度计算每一像素点的局部增益值的步骤包括：
通过以下公式计算每一像素点的局部增益值，
Kl＝(1-Chroma)*Klm
所述Kl为每一像素点的局部增益值，所述Chroma为每一像素点的色彩饱和度；
根据全局增益值和每一像素点的局部增益值计算每一像素点的总增益 值的步骤包括：
通过以下公式计算每一像素点的总增益值，
K＝Kl+Kf
所述K为每一像素点的总增益值。
其中，根据每一像素点的总增益值对每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值进行亮度增强的步骤包括：通过以下公式计算每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值，
RGBWi2＝RGBWi1*K
所述RGBWi2为每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值，所述RGBWi1为每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值，所述K为每一像素点的总增益值。
其中，对每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值进行伽马校正，并映射到输出图像的对应显示范围的步骤包括：通过以下公式计算输出图像中的对应像素点的白光分量和各基色分量的最终灰阶值，
Figure PCTCN2015090203-appb-000010
所述RGBWout为输出图像中的对应像素点的白光分量和各基色分量的最终灰阶值，RGBWi2为每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值，所述H2为输出图像所容许的最大灰阶值，所述γ为伽马校正因子。
本发明实施例的图像的自适应转换方法，根据输入的RGB图像的像素点的色彩饱和度对像素点加以区分，并对不同色彩饱和度的像素点进行对应增益，使得输出的RGBW图像的像素点也进行了增益，从而能够在提高显示亮度的同时，改善色彩饱和度偏差，确保显示品质。
【附图说明】
图1是本发明的图像的自适应转换方法一实施例的流程示意图；
图2是本发明的RGB图像转换为RGBW图像的子像素排列示意图；
图3是分别采用图1所示方法和现有技术方法输出的RGBW图像的平 均亮度增加幅度的曲线示意图；
图4是分别采用图1所示方法和现有技术方法输出的RGBW图像的平均颜色偏差的曲线示意图。
【具体实施方式】
下面将结合本发明实施例中的附图，对本发明所提供的各示例性的实施例的技术方案进行清楚、完整地描述。
图1是本发明的图像的自适应转换方法一实施例的流程示意图，适用于三种基色分量向四种颜色分量的颜色空间转换，例如RGB到RGBW的颜色空间转换，即为将显示装置的RGB图像转换为RGBW图像。结合图2所示，可以理解为：例如虚线方框图起的RGB图像的R、G、B这三个子像素的灰阶值与对应位置处且经颜色空间转换后的R、G、B、W这四个子像素的灰阶值对应。本发明实施例全文所述的显示装置包括但不限于OLED(Organic Light-Emitting Diode，有机发光二极管)显示器、液晶显示器(Liquid Crystal Display，LCD)。
如图1所示，所述图像的自适应转换方法包括：
S11：获取输入图像中的多个像素点的各基色分量的原始灰阶值。
S12：将原始灰阶值归一化后通过反伽马校正进行线性化处理，以获得每一像素点的各基色分量的第一中间灰阶值。
将R、G、B这三个基色分量的原始灰阶值(RGB值)归一化的目的为使三个数值变成相互之间的相对值，以简化后续计算。
所述线性化处理表示将输入的RGB值转换为与输出亮度线性地成比例的值的处理。本发明实施例可通过但不限于以下公式1-1计算得到每一像素点的各基色分量的第一中间灰阶值，
Figure PCTCN2015090203-appb-000011
……公式1-1
其中，RGB为每一像素点的R、G、B这三个基色分量的原始灰阶值，RGBi为每一像素点的各基色分量的第一中间灰阶值，H1为输入图像所容许的最大灰阶值，γ为伽马校正因子。
需要注意，公式1-1应理解为：在计算R基色分量的第一中间灰阶值 时，RGB为每一像素点的R基色分量的原始灰阶值，且RGBi为每一像素点的R基色分量的第一中间灰阶值；在计算G基色分量的第一中间灰阶值时，RGB为每一像素点的G基色分量的原始灰阶值，且RGBi为每一像素点的G基色分量的第一中间灰阶值；在计算B基色分量的第一中间灰阶值时，RGB为每一像素点的B基色分量的原始灰阶值，且RGBi为每一像素点的B基色分量的第一中间灰阶值。
S13：根据各基色分量的第一中间灰阶值计算每一像素点的色彩饱和度。
本发明实施例可通过但不限于以下公式1-2计算得到每一像素点的色彩饱和度，
Figure PCTCN2015090203-appb-000012
……公式1-2
其中，Chroma为每一像素点的色彩饱和度，Mi为每一像素点的各基色分量R、G、B的第一中间灰阶值中的最小值，即Mi＝min(Ri，Gi，Bi)，Ma为每一像素点的各基色分量的第一中间灰阶值中的最大值，即Ma＝max(Ri，Gi，Bi)，Ri为每一像素点的R基色分量的第一中间灰阶值，Gi为每一像素点的G基色分量的第一中间灰阶值，Bi为每一像素点的B基色分量的第一中间灰阶值。
S14：根据各基色分量的第一中间灰阶值计算每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值。
本发明实施例可通过但不限于以下公式1-3计算得到每一像素点的白光分量的第一中间灰阶值、可通过但不限于以下公式1-4计算得到每一像素点的各基色分量的第二中间灰阶值，
Figure PCTCN2015090203-appb-000013
……公式1-3
RGBi1＝RGBi-Wi1……公式1-4
其中，在前述公式1-1和1-2中各标号所表示含义的描述基础上，Wi1为每一像素点的白光分量W的第一中间灰阶值，RGBi1为每一像素点的各基色分量的第二中间灰阶值。
需要注意，公式1-4应理解为：在计算R基色分量的第二中间灰阶值时，RGBi为每一像素点的R基色分量的第一中间灰阶值，且RGBi1为每一像素点的R基色分量的第二中间灰阶值；在计算G基色分量的第二中间灰阶值时，RGBi为每一像素点的G基色分量的第一中间灰阶值，且RGBi1为每一像素点的G基色分量的第二中间灰阶值；在计算B基色分量的第二中间灰阶值时，RGBi为每一像素点的B基色分量的第一中间灰阶值，且RGBi1为每一像素点的B基色分量的第二中间灰阶值。
S15：根据多个像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值计算全局增益值。
本发明实施例可通过但不限于以下公式1-5计算得到全局增益值，
Figure PCTCN2015090203-appb-000014
……公式1-5
其中，Kf为全局增益值，Maxframe为多个像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值中的最大值，即
Figure PCTCN2015090203-appb-000015
W*H为输入图像的分辨率，W为输入图像的宽度，且H为输入图像的高度，x为多个像素点中的任意一个。
应该理解的是，所述多个像素点可以是输入图像(即RGB图像)中的部分区域的多个像素点，也可以是整幅输入图像所包含的全部像素点。在所述多个像素点为整幅输入图像的全部像素点时，所述Maxframe应理解为输入图像的全部像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值中的最大值。
S16：根据所述全局增益值和每一像素点的色彩饱和度计算每一像素点的总增益值。
首先，可根据预先设置的总增益上限值和全局增益值计算最大局部增益值。例如通过以下公式1-6计算得到最大局部增益值，
Klm＝Klimit-Kf……公式1-6
然后，根据最大局部增益值和每一像素点的色彩饱和度计算每一像素点的局部增益值。例如通过以下公式1-7计算得到所述局部增益值，
Kl＝(1-Chroma)*Klm……公式1-7
最后，根据全局增益值和每一像素点的局部增益值计算每一像素点的总增益值。例如通过以下公式1-8计算得到每一像素点的总增益值，
K＝Kl+Kf……公式1-8
其中，在前述公式中各标号所表示含义的描述基础上，Klm为最大局部增益值，Klimit为预先设置的总增益上限值，Kl为每一像素点的局部增益值，K为每一像素点的总增益值。
S17：根据每一像素点的总增益值对每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值进行亮度增强，以获得每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值。
本发明实施例可通过但不限于以下公式1-9计算得到每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值，
RGBWi2＝RGBWi1*K……公式1-9
其中，RGBWi2为每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值，RGBWi1为每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值。
类似前述，上述公式1-9应理解为：在计算白光分量的第二中间灰阶值时，RGBWi1为每一像素点的白光分量的第一中间灰阶值，且RGBWi2为每一像素点的白光分量的第三中间灰阶值；在计算R基色分量的第三中间灰阶值时，RGBWi1为每一像素点的R基色分量的第二中间灰阶值，且RGBWi2为每一像素点的R基色分量的第三中间灰阶值；在计算G基色分量的第三中间灰阶值时，RGBWi1为每一像素点的G基色分量的第二中间灰阶值，且RGBWi2为每一像素点的G基色分量的第三中间灰阶值；在计算B基色分量的第三中间灰阶值时，RGBWi1为每一像素点的B基色分量的第二中间灰阶值，且RGBWi2为每一像素点的B基色分量的第三中间灰阶值。
S18：对每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值进行伽马校正，并映射到输出图像的对应显示范围，以获得输出图像中的对应像素点的白光分量和各基色分量的最终灰阶值。
本发明实施例可通过但不限于以下公式1-10计算得到输出图像中的对应像素点的白光分量和各基色分量的最终灰阶值，
Figure PCTCN2015090203-appb-000016
……公式1-10
其中，RGBWout为输出图像中的对应像素点的白光分量和各基色分量的最终灰阶值，H2为输出图像所容许的最大灰阶值。
公式1-10应理解为：在计算白光分量的最终灰阶值时，RGBWi2为每一像素点的白光分量的第二中间灰阶值，且RGBWout为每一像素点的白光分量的最终灰阶值；在计算R基色分量的最终灰阶值时，RGBWi2为每一像素点的R基色分量的第三中间灰阶值，且RGBWout为每一像素点的R基色分量的最终灰阶值；在计算G基色分量的最终灰阶值时，RGBWi2为每一像素点的G基色分量的第三中间灰阶值，且RGBWout为每一像素点的G基色分量的最终灰阶值；在计算B基色分量的最终灰阶值时，RGBWi2为每一像素点的B基色分量的第三中间灰阶值，且RGBWout为每一像素点的B基色分量的最终灰阶值。
基于上述，本发明实施例实质上是根据输入的RGB图像的像素点的色彩饱和度对像素点加以区分，并对不同色彩饱和度的像素点进行对应增益，使得输出的RGBW图像的像素点也进行了对应增益，从而能够在提高显示亮度的同时，改善色彩饱和度偏差，确保显示品质。
可采用CIE(Commission Internationale de l′Eclairage，国际照明委员会)Lab色度模型进行RGB到RGBW的颜色空间转换，以契合本发明实施例的方法的有益效果。具体的，可通过以下公式2-1计算输出的RGBW图像的平均亮度增加幅度，从而得到如图3所示曲线示意图，其中Lm1为采用图1所示方法输出的RGBW图像的平均亮度增加幅度的曲线，Lm2为采用现有技术方法输出的RGBW图像的平均亮度增加幅度的曲线，横坐标表示采样的25幅图像构成的序列，纵坐标表示平均亮度增加幅度(取值为百分比形式)；可通过以下公式2-2计算输出的RGBW图像的平均颜色偏差，从而得到如图4所示曲线示意图，其中Lm3为采用图1所示方法输出的RGBW图像的平均颜色偏差的曲线，Lm4为采用现有技术方法输出的RGBW图像的平均颜色偏差的曲线，横坐标表示采样的25幅图像构成的序列，纵坐标表示平均颜色偏差。
Figure PCTCN2015090203-appb-000017
……公式2-1
Figure PCTCN2015090203-appb-000018
……公式2-2
其中，DL为所述平均亮度增加幅度，LRGBW为输出的RGBW图像中的每一像素点的白光分量和各基色分量归一化后的灰阶值，LRGB为输入的RGB图像中的每一像素点的各基色分量归一化后的灰阶值，DC为所述平均颜色偏差，aRGBW和bRGBW为RGBW图像中的每一像素点的白光分量和各基色分量归一化后的色彩信息的两个分量，aRGB和bRGB为RGB图像中的每一像素点的白光分量和各基色分量归一化后的色彩信息的两个分量。
由图3可以看出，相比较于现有技术，本发明实施例的方法能够取得更高的平均亮度增益，并且由图4可以看出，本发明实施例的方法还能够降低色彩饱和度的偏差。
再次说明，以上所述仅为本发明的实施例，并非因此限制本发明的专利范围，凡是利用本发明说明书及附图内容所作的等效结构或等效流程变换，例如各实施例之间技术特征的相互结合，或直接或间接运用在其他相关的技术领域，均同理包括在本发明的专利保护范围内。

Claims (19)

  1. 一种图像的自适应转换方法，其特征在于，所述方法包括：
    获取输入图像中的多个像素点的各基色分量的原始灰阶值，其中所述多个像素点为所述输入图像所包含的全部像素点或所述输入图像的部分区域所包含的全部像素点；
    将所述原始灰阶值归一化后通过反伽马校正进行线性化处理，以获得每一所述像素点的各基色分量的第一中间灰阶值；
    根据所述各基色分量的第一中间灰阶值计算所述每一像素点的色彩饱和度；
    根据所述各基色分量的第一中间灰阶值计算所述每一像素点的白光分量的第一中间灰阶值和所述各基色分量的第二中间灰阶值；
    根据所述多个像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值计算全局增益值；
    根据预先设置的总增益上限值和所述全局增益值计算最大局部增益值；
    根据所述最大局部增益值和所述每一像素点的所述色彩饱和度计算所述每一像素点的局部增益值；
    根据所述全局增益值和所述每一像素点的局部增益值计算所述每一像素点的总增益值；
    根据所述每一像素点的总增益值对所述每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值进行亮度增强，以获得所述每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值；
    对所述每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值进行伽马校正，并映射到输出图像的对应显示范围，以获得所述输出图像中的对应像素点的白光分量和所述各基色分量的最终灰阶值。
  2. 根据权利要求1所述的方法，其特征在于，所述将所述原始灰阶值归一化后通过反伽马校正进行线性化处理的步骤包括：
    通过以下公式计算所述每一像素点的各基色分量的第一中间灰阶值，
    Figure PCTCN2015090203-appb-100001
    其中，RGB为所述每一像素点的各基色分量的原始灰阶值，RGBi为所述每一像素点的各基色分量的第一中间灰阶值，H1为所述输入图像所容许的最大灰阶值，γ为伽马校正因子。
  3. 根据权利要求1所述的方法，其特征在于，所述根据所述各基色分量的第一中间灰阶值计算所述每一像素点的色彩饱和度的步骤包括：
    通过以下公式计算所述每一像素点的色彩饱和度，
    Figure PCTCN2015090203-appb-100002
    其中，Chroma为所述每一像素点的色彩饱和度，Mi为所述每一像素点的各基色分量的第一中间灰阶值中的最小值，Ma为所述每一像素点的各基色分量的第一中间灰阶值中的最大值。
  4. 根据权利要求1所述的方法，其特征在于，所述根据所述各基色分量的第一中间灰阶值计算所述每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值的步骤包括：
    通过以下公式计算所述每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值，
    Figure PCTCN2015090203-appb-100003
    RGBi1＝RGBi-Wi1
    其中，Wi1为所述每一像素点的白光分量的第一中间灰阶值，Mi为所述每一像素点的各基色分量的第一中间灰阶值中的最小值，Ma为所述每一像素点的各基色分量的第一中间灰阶值中的最大值，RGBi所述每一像素点的各基色分量的第一中间灰阶值，RGBi1为所述每一像素点的各基色分量的第二中间灰阶值。
  5. 根据权利要求1所述的方法，其特征在于，所述根据所述多个像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值计算全局增益值的步骤包括：
    通过以下公式计算所述全局增益值，
    Figure PCTCN2015090203-appb-100004
    其中，Kf为所述全局增益值，Maxframe为所述多个像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值中的最大值。
  6. 根据权利要求5所述的方法，其特征在于，所述Maxframe为所述输入图像的全部像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值中的最大值。
  7. 根据权利要求1所述的方法，其特征在于，所述根据预先设置的总增益上限值和所述全局增益值计算最大局部增益值的步骤包括：
    通过以下公式计算所述最大局部增益值，
    Klm＝Klimit-Kf
    其中，Klm为所述最大局部增益值，Klimit为所述预先设置的总增益上限值，Kf为所述全局增益值；
    所述根据所述最大局部增益值和所述每一像素点的所述色彩饱和度计算所述每一像素点的局部增益值的步骤包括：
    通过以下公式计算所述每一像素点的局部增益值，
    Kl＝(1-Chroma)*Klm
    其中，Kl为所述每一像素点的局部增益值，Chroma为所述每一像素点的色彩饱和度；
    所述根据所述全局增益值和所述每一像素点的局部增益值计算所述每一像素点的总增益值的步骤包括：
    通过以下公式计算所述每一像素点的总增益值，
    K＝Kl+Kf
    其中，K为所述每一像素点的总增益值。
  8. 根据权利要求1所述的方法，其特征在于，所述根据所述每一像素点的总增益值对所述每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值进行亮度增强的步骤包括：
    通过以下公式计算所述每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值，
    RGBWi2＝RGBWi1*K
    其中，RGBWi2为所述每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值，RGBWi1为所述每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值，K为所述每一像素点的总增益值。
  9. 根据权利要求1所述的方法，其特征在于，所述对所述每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值进行伽马校正，并映射到输出图像的对应显示范围的步骤包括：
    通过以下公式计算所述输出图像中的对应像素点的白光分量和各基色分量的最终灰阶值，
    Figure PCTCN2015090203-appb-100005
    其中，RGBWout为所述输出图像中的对应像素点的白光分量和各基色分量的最终灰阶值，RGBWi2为所述每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值，H2为所述输出图像所容许的最大灰阶值，γ为伽马校正因子。
  10. 一种图像的自适应转换方法，其特征在于，所述方法包括：
    获取输入图像中的多个像素点的各基色分量的原始灰阶值；
    将所述原始灰阶值归一化后通过反伽马校正进行线性化处理，以获得每一所述像素点的各基色分量的第一中间灰阶值；
    根据所述各基色分量的第一中间灰阶值计算所述每一像素点的色彩饱和度；
    根据所述各基色分量的第一中间灰阶值计算所述每一像素点的白光分量的第一中间灰阶值和所述各基色分量的第二中间灰阶值；
    根据所述多个像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值计算全局增益值；
    根据所述全局增益值和所述每一像素点的所述色彩饱和度计算所述每一像素点的总增益值；
    根据所述每一像素点的总增益值对所述每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值进行亮度增强，以获得所述每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值；
    对所述每一像素点的白光分量的第二中间灰阶值和各基色分量的第三 中间灰阶值进行伽马校正，并映射到输出图像的对应显示范围，以获得所述输出图像中的对应像素点的白光分量和所述各基色分量的最终灰阶值。
  11. 根据权利要求10所述的方法，其特征在于，所述将所述原始灰阶值归一化后通过反伽马校正进行线性化处理的步骤包括：
    通过以下公式计算所述每一像素点的各基色分量的第一中间灰阶值，
    Figure PCTCN2015090203-appb-100006
    其中，RGB为所述每一像素点的各基色分量的原始灰阶值，RGBi为所述每一像素点的各基色分量的第一中间灰阶值，H1为所述输入图像所容许的最大灰阶值，γ为伽马校正因子。
  12. 根据权利要求10所述的方法，其特征在于，所述根据所述各基色分量的第一中间灰阶值计算所述每一像素点的色彩饱和度的步骤包括：
    通过以下公式计算所述每一像素点的色彩饱和度，
    Figure PCTCN2015090203-appb-100007
    其中，Chroma为所述每一像素点的色彩饱和度，Mi为所述每一像素点的各基色分量的第一中间灰阶值中的最小值，Ma为所述每一像素点的各基色分量的第一中间灰阶值中的最大值。
  13. 根据权利要求10所述的方法，其特征在于，所述根据所述各基色分量的第一中间灰阶值计算所述每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值的步骤包括：
    通过以下公式计算所述每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值，
    Figure PCTCN2015090203-appb-100008
    RGBi1＝RGBi-Wi1
    其中，Wi1为所述每一像素点的白光分量的第一中间灰阶值，Mi为所述每一像素点的各基色分量的第一中间灰阶值中的最小值，Ma为所述每一像素点的各基色分量的第一中间灰阶值中的最大值，RGBi所述每一像素点的 各基色分量的第一中间灰阶值，RGBi1为所述每一像素点的各基色分量的第二中间灰阶值。
  14. 根据权利要求10所述的方法，其特征在于，所述根据所述多个像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值计算全局增益值的步骤包括：
    通过以下公式计算所述全局增益值，
    Figure PCTCN2015090203-appb-100009
    其中，Kf为所述全局增益值，Maxframe为所述多个像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值中的最大值。
  15. 根据权利要求14所述的方法，其特征在于，所述Maxframe为所述输入图像的全部像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值中的最大值。
  16. 根据权利要求10所述的方法，其特征在于，所述根据所述全局增益值和所述每一像素点的所述色彩饱和度计算所述每一像素点的总增益值的步骤包括：
    根据预先设置的总增益上限值和所述全局增益值计算最大局部增益值；
    根据所述最大局部增益值和所述每一像素点的所述色彩饱和度计算所述每一像素点的局部增益值；
    根据所述全局增益值和所述每一像素点的局部增益值计算所述每一像素点的总增益值。
  17. 根据权利要求16所述的方法，其特征在于，所述根据预先设置的总增益上限值和所述全局增益值计算最大局部增益值的步骤包括：
    通过以下公式计算所述最大局部增益值，
    Klm＝Klimit-Kf
    其中，Klm为所述最大局部增益值，Klimit为所述预先设置的总增益上限值，Kf为所述全局增益值；
    所述根据所述最大局部增益值和所述每一像素点的所述色彩饱和度计算所述每一像素点的局部增益值的步骤包括：
    通过以下公式计算所述每一像素点的局部增益值，
    Kl＝(1-Chroma)*Klm
    其中，Kl为所述每一像素点的局部增益值，Chroma为所述每一像素点的色彩饱和度；
    所述根据所述全局增益值和所述每一像素点的局部增益值计算所述每一像素点的总增益值的步骤包括：
    通过以下公式计算所述每一像素点的总增益值，
    K＝Kl+Kf
    其中，K为所述每一像素点的总增益值。
  18. 根据权利要求10所述的方法，其特征在于，所述根据所述每一像素点的总增益值对所述每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值进行亮度增强的步骤包括：
    通过以下公式计算所述每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值，
    RGBWi2＝RGBWi1*K
    其中，RGBWi2为所述每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值，RGBWi1为所述每一像素点的白光分量的第一中间灰阶值和各基色分量的第二中间灰阶值，K为所述每一像素点的总增益值。
  19. 根据权利要求10所述的方法，其特征在于，所述对所述每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值进行伽马校正，并映射到输出图像的对应显示范围的步骤包括：
    通过以下公式计算所述输出图像中的对应像素点的白光分量和各基色分量的最终灰阶值，
    Figure PCTCN2015090203-appb-100010
    其中，RGBWout为所述输出图像中的对应像素点的白光分量和各基色分量的最终灰阶值，RGBWi2为所述每一像素点的白光分量的第二中间灰阶值和各基色分量的第三中间灰阶值，H2为所述输出图像所容许的最大灰阶值，γ为伽马校正因子。
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