WO2020124808A1 - Dispositif et procédé d'amélioration d'image - Google Patents

Dispositif et procédé d'amélioration d'image Download PDF

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Publication number
WO2020124808A1
WO2020124808A1 PCT/CN2019/077848 CN2019077848W WO2020124808A1 WO 2020124808 A1 WO2020124808 A1 WO 2020124808A1 CN 2019077848 W CN2019077848 W CN 2019077848W WO 2020124808 A1 WO2020124808 A1 WO 2020124808A1
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WO
WIPO (PCT)
Prior art keywords
saturation
image
edge
pixel
value
Prior art date
Application number
PCT/CN2019/077848
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English (en)
Chinese (zh)
Inventor
朱江
Original Assignee
深圳市华星光电半导体显示技术有限公司
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.)
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Application filed by 深圳市华星光电半导体显示技术有限公司 filed Critical 深圳市华星光电半导体显示技术有限公司
Publication of WO2020124808A1 publication Critical patent/WO2020124808A1/fr

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/90—Dynamic range modification of images or parts thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/90—Dynamic range modification of images or parts thereof
    • G06T5/94—Dynamic range modification of images or parts thereof based on local image properties, e.g. for local contrast enhancement

Definitions

  • the invention relates to an image enhancement device and an image enhancement method, which can simultaneously enhance the edge and color of an image, improve the efficiency of image enhancement, and avoid the problem of dimming the color of the image edge when the prior art only enhances the edge of the image.
  • image enhancement is usually required in advance.
  • Image enhancement generally includes two types of image edge enhancement and image color enhancement.
  • Image edge enhancement is to process the brightness components of the image edge pixels, so that the image edge is sharper visually and the image is clearer.
  • Image color enhancement is processed for the saturation value of image pixels, making the image color more vivid.
  • the enhancement processes of the image edge enhancement and the image color enhancement are independent of each other.
  • the edge enhancement of the image often causes the brightness of the pixels at the edge of the image to change, while the saturation value and hue value of the pixels do not change. For the image after interpolation and magnification, when the edge of the image is enhanced, the color of the color pixels at the edge will become dark, for example, from bright red to dark red, resulting in a dim color and poor saturation at the edge.
  • the present invention provides an image enhancement device and image enhancement method to solve the technical problems in the prior art.
  • the main object of the present invention is to provide an image enhancement device and an image enhancement method, which can simultaneously enhance the edge and color of the image, improve the image enhancement efficiency, and avoid the existing technology that only causes the image edge to be dim when the image edge is enhanced problem.
  • the image enhancement device of the present invention includes:
  • Computer hardware for inputting an image into the computer hardware, wherein the image includes red, green and blue data;
  • a color conversion module provided in the computer hardware, for converting the red, green, and blue data into hue saturation and brightness data, and for processing the hue of the enhanced image after the image is processed into an enhanced image Saturation brightness data is converted to red, green and blue data;
  • An edge enhancement module provided in the computer hardware, for detecting the plurality of pixels in the input image, to find a plurality of edge pixels from the plurality of pixels, and to detect the plurality of edges Pixel enhancement;
  • a saturation compensation module set in the computer hardware, for compensating the saturation of the edge pixels of the image
  • the edge enhancement module enhances the edge pixels in the image, and the saturation
  • the compensation module compensates the saturation of the edge pixels of the image to form an enhanced image
  • the color conversion module converts the hue saturation luminance data of the enhanced image into red, green, and blue data.
  • the red-green-blue data includes red, green and blue values for each pixel
  • the hue saturation brightness data includes hue values, saturation values and brightness values.
  • the edge enhancement module is used to perform an edge pixel detection step and an edge pixel performance enhancement step;
  • the edge pixel detection step includes the brightness value according to the hue saturation brightness data, Performing brightness identification on the plurality of pixels in the image to find a plurality of edge pixels from the plurality of pixels;
  • the step of enhancing the edge pixel performance includes adjusting the brightness value of the edge pixel so that The difference in brightness between the edge pixel and the adjacent pixel increases.
  • the saturation compensation module is used to perform a saturation average calculation step, a saturation difference calculation step, and a saturation adjustment step;
  • the saturation average calculation step includes each of the images Edge pixels as a central pixel, and calculate the average saturation value of adjacent pixels adjacent to the central pixel;
  • the step of calculating the saturation difference value includes calculating the saturation of the central pixel and the average value of the saturation Saturation difference;
  • the saturation adjustment step includes judging whether the saturation difference is greater than 0, if greater than 0, then increasing the saturation of the central pixel, if less than 0, decreasing the saturation of the central pixel P1 To obtain the enhanced image.
  • the computer hardware includes a central processing unit, a memory, a storage, an input interface, and an output interface electrically connected to each other, and the input interface is used to input the image into the computer hardware , The output interface is used to output the enhanced image.
  • Another object of the present invention is to provide an image enhancement method, including:
  • the image input step includes inputting an image to the computer hardware
  • the first color data conversion step includes converting the input red, green, and blue data of the image into hue saturation brightness data through the computer hardware;
  • the edge pixel detection step includes using the computer hardware to perform brightness identification on the plurality of pixels in the image according to the brightness value in the hue saturation brightness data to find from the plurality of pixels Multiple edge pixels;
  • the step of enhancing the performance of the edge pixel includes adjusting the brightness value of the edge pixel through the computer hardware to increase the difference in brightness between the edge pixel and the adjacent pixel;
  • a saturation compensation step including compensating the saturation of edge pixels of the image through the computer hardware
  • the second color conversion step includes using the computer hardware to convert the hue saturation brightness data contained in the enhanced image into red, green, and blue data.
  • the red-green-blue data includes red, green and blue values for each pixel;
  • the hue saturation brightness data includes hue values, saturation values and brightness values.
  • the saturation compensation step includes:
  • the step of calculating the average value of saturation includes taking each edge pixel of the image as a central pixel and calculating the average value of saturation of adjacent pixels adjacent to the central pixel;
  • a saturation difference calculation step including calculating a saturation difference between the saturation of the central pixel and the average of the saturation
  • the saturation adjustment step includes determining whether the saturation difference is greater than 0. If it is greater than 0, the saturation of the central pixel is increased, and if it is less than 0, the saturation of the central pixel P1 is reduced, thereby obtaining the enhancement image.
  • the computer hardware includes a central processing unit, a memory, a storage, an input interface, and an output interface electrically connected to each other, and the input interface is used to input the image into the computer hardware And the output interface is used to output the enhanced image.
  • the image enhancement method further includes an image output step, including outputting the enhanced image to an electronic device through the output interface of the computer hardware.
  • the image enhancement device and the image enhancement method of the present invention include the following advantages:
  • the input image is enhanced by the edge sharpness of the image through the present invention and compensated by saturation, so that the sharpness of the image can be improved while maintaining the saturation of the pixels at the edge of the image to avoid the image being dim.
  • the calculation formula adopted by the present invention is simple and avoids the calculation burden of the computer hardware being too large, so it can avoid increasing the burden of the computer hardware while improving the image quality.
  • FIG. 1 is a block diagram of the hardware and software architecture of the image enhancement device according to the present invention.
  • FIG. 2 is a schematic diagram of the function execution architecture of the image enhancement device of the present invention.
  • FIG. 3 is a schematic diagram of the processing flow of the image enhancement device of the present invention.
  • FIG. 4 is a schematic diagram of multiple pixels in an image.
  • FIG. 5 is a flowchart of steps of the image enhancement method of the present invention.
  • FIG. 1 is a block diagram of the hardware and software architecture of the image enhancement device according to the present invention.
  • FIG. 2 is a schematic diagram of the function execution architecture of the image enhancement device of the present invention.
  • the image enhancement device of the present invention includes: computer hardware 10, color conversion module 20, edge enhancement module 30, and saturation compensation module 40.
  • the computer hardware 10 includes a central processing unit 11, a memory 12, a storage 13, an input interface 14 and an output interface 15 that are electrically connected to each other.
  • the memory 12 may be a random access dynamic memory 12 (Dynamic Random-access Memory, DRAM).
  • DRAM Dynamic Random-access Memory
  • the storage 13 may be a hard disk (Hard Disk) Drive, HDD) or Solid State Drive (SSD).
  • HDD Hard Disk
  • SSD Solid State Drive
  • the input interface 14 can be an electrical connector, such as a universal serial bus (Universal Serial Bus (USB) electrical connector for inputting an image 16 into the computer hardware 10.
  • the image 16 input to the computer hardware 10 includes a plurality of pixels, and includes red, green, blue (Red, Green, Blue, RGB) data, the RGB data 160 includes a red value, a blue value, and a green value for each pixel.
  • the RGB data 160 may be converted into Hue, Saturation, Lightness (HSL) data.
  • the HSL data includes a hue value H, a saturation value S, and a brightness value L.
  • the image 16 can be stored in the storage 13 after being input into the computer hardware 10 and can be loaded into the memory 12 for processing by the central processor 11.
  • the output interface 15 may be an electrical connector, such as a high-definition multimedia interface (High Definition Multimedia Interface (HDMI) connector, used to output images to external electronic devices, such as liquid crystal display panels.
  • HDMI High Definition Multimedia Interface
  • FIG. 3 is a schematic diagram of the processing flow of the image enhancement device of the present invention.
  • the computer hardware 10 itself may perform the image input step S02, including inputting an image 160 to the computer hardware 10.
  • the color conversion module 20 is provided in the computer hardware 10 and can be stored in the storage 13 for software to convert RGB data 160 into HSL data and to convert HSL data into RGB data 160.
  • the color conversion module 20 can convert the input RGB data 160 of the image 16 into HSL data.
  • the color conversion module 20 may perform a first color data conversion step S03, including converting the input RGB data 160 of the image 16 into HSL data.
  • the edge enhancement module 30 is provided in the computer hardware 10, and may be stored in the storage 13 for software to detect the plurality of pixels in the input image 16 so as to Find a plurality of edge pixels among the plurality of pixels, and perform performance enhancement on the plurality of edge pixels.
  • the edge pixels mentioned here are the pixels on the inner or outer contour of people, objects, and scenes in the image under normal conditions. For example, the pixels on the contour of the boundary between the face and the background in the image are the edges. Pixels.
  • the edge enhancement module 30 may perform the following steps: an edge pixel detection step S04 and an edge pixel performance enhancement step S05.
  • the edge pixel detection step S04 includes performing brightness identification on the plurality of pixels in the image 16 according to the brightness value L in the HSL data to find a plurality of edge pixels from the plurality of pixels .
  • the edge pixel performance enhancement step S05 includes adjusting the brightness value L of the edge pixel to increase the brightness difference between the edge pixel and the adjacent pixel.
  • the adjustment of the brightness value L includes reducing the brightness of the edge pixel to increase the brightness difference between the edge pixel and the adjacent pixel, thereby providing the outline of the people, objects, and scenes included in the image 16 Sharpness.
  • the edge pixel performance enhancement step S05 the brightness difference between the edge pixel and the neighboring pixel can be enlarged, thereby increasing the sharpness of people, objects, and scenes in the image 16.
  • the saturation compensation module 40 is provided in the computer hardware 10 and may be stored in the storage 13 for software to compensate for the saturation of edge pixels of the image 16.
  • the saturation compensation module 40 may perform a saturation compensation step S06, including compensating the saturation of the edge pixels of the image 16.
  • the saturation compensation step S06 includes: a saturation average calculation step S06A, a saturation difference calculation step S06B, and a saturation adjustment step S06C.
  • FIG. 4 is a schematic diagram of a plurality of pixels in the image 16.
  • the saturation average calculation step S06A includes taking each edge pixel of the image 16 as a central pixel P1 (its coordinates are (j, i)), and calculating adjacent pixels adjacent to the central pixel P1
  • the average saturation value of P2 is S_av.
  • the pixel at the center is the edge pixel and also the center pixel P1, and the remaining 8 pixels are adjacent pixels P2.
  • the detailed calculation method is shown in the following equation 1:
  • the saturation difference calculation step S06B includes calculating the saturation difference f_s between the saturation S(j,i) of the central pixel and the saturation average S_av.
  • the detailed calculation method is shown in the following equation 2:
  • the saturation adjustment step S06C includes determining whether the saturation difference value f_s is greater than 0, if f_s>0, then increasing the saturation S(j,i) of the central pixel P1, if f_s ⁇ 0, reducing the The saturation S(j,i) of the central pixel P1 further obtains an enhanced image 16a, as shown in FIG.
  • the computer hardware 10 then converts the HSL data contained in the enhanced image 16a into RGB data 160.
  • the computer hardware may perform a second color conversion step S07, including converting the HSL data contained in the enhanced image 16a into RGB data 160.
  • the computer hardware 10 outputs the enhanced image 16a to the electronic device 50 through the output interface 15, for example, to a liquid crystal display panel, then the image presented by the electronic device 50 is enhanced and has appropriate sharpness Degree and saturation image 16a.
  • the computer hardware 10 may perform an image output step S08, including the enhanced image 16a being output to the electronic device 50 through the output interface 15 of the computer hardware 10.
  • the image enhancement method includes: a computer providing step S01, an image input step S02, a first color data conversion step S03, an edge pixel detection step S04, an edge pixel performance enhancement step S05, a saturation compensation step S06, a second color conversion step S07 And the image output step S08.
  • the computer providing step S01 includes providing a computer hardware 10 as shown in FIG. 1.
  • the image input step S02 includes inputting an image 160 to the computer hardware 10.
  • the first color data conversion step S03 includes using the computer hardware 10 to convert the input RGB data 160 of the image 16 into HSL data.
  • the edge pixel detection step S04 includes, through the computer hardware 10, performing brightness recognition on the plurality of pixels in the image 16 according to the brightness value L in the HSL data, so as to select from the plurality of pixels Find multiple edge pixels.
  • the edge pixel performance enhancement step S05 includes adjusting the brightness value L of the edge pixel by the computer hardware 10, so that the brightness difference between the edge pixel and the adjacent pixel is increased.
  • the saturation compensation step S06 includes compensating the saturation of the edge pixels of the image 16 through the computer hardware 10.
  • the saturation compensation step S06 includes the above-mentioned saturation average calculation step S06A, saturation difference calculation step S06B, and saturation adjustment step S06C.
  • the second color conversion step S07 includes using the computer hardware 10 to convert the HSL data contained in the enhanced image 16a into RGB data 160.
  • the image output step S08 includes outputting the enhanced image 16 a to the electronic device 50 through the output interface 15 of the computer hardware 10 through the computer hardware 10.
  • the image enhancement device and the image enhancement method of the present invention include the following advantages:
  • the input image is enhanced by the edge sharpness of the image through the present invention and compensated by saturation, so that the sharpness of the image can be improved while maintaining the saturation of the pixels at the edge of the image to avoid the image being dim.
  • the calculation formula adopted by the present invention is simple and avoids the calculation burden of the computer hardware being too large, so it can avoid increasing the burden of the computer hardware while improving the image quality.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
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  • Image Processing (AREA)

Abstract

L'invention concerne un dispositif d'amélioration d'image, comportant: un matériel informatique, un module de conversion de couleurs, un module d'accentuation de contours, et un module de compensation de saturation. Une image est introduite dans le matériel informatique et comporte des données RGB (rouge, vert, bleu). Le module de conversion de couleurs convertit les données RGB en données HSL (teinte, saturation, clarté) et, après que l'image a été améliorée, le module de conversion de couleurs peut être utilisé pour convertir des données HSL de l'image améliorée en données RGB. Le module d'accentuation de contours inspecte une pluralité de pixels dans l'image d'entrée de façon à localiser une pluralité de pixels de contour parmi la pluralité de pixels, et effectue une amélioration de performances sur la pluralité de pixels de contour. Le module de compensation de saturation effectue une compensation sur la saturation des pixels de contour de l'image. Le module d'accentuation de contours et le module de compensation de saturation effectuent une accentuation sur contours de l'image, et empêchent une diminution de la saturation des pixels de contour de l'image.
PCT/CN2019/077848 2018-12-20 2019-03-12 Dispositif et procédé d'amélioration d'image WO2020124808A1 (fr)

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