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High-illuminance digital image fast adaptive optimization method

A digital image and optimization technology, applied in the field of image processing, can solve the problems of not being able to use the video field, unfavorable real-time processing of color images, and long time consumption

Inactive Publication Date: 2012-11-28
CHONGQING MEDICAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this method needs to be realized by changing the value of the transformation parameter Delta of the Zadeh-X transformation one by one, which takes a long time, is not conducive to the real-time processing of color images, and cannot be used in the video field.

Method used

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  • High-illuminance digital image fast adaptive optimization method
  • High-illuminance digital image fast adaptive optimization method
  • High-illuminance digital image fast adaptive optimization method

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Experimental program
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Embodiment 1

[0044] like figure 1 The flow shown: a fast adaptive optimization method for digital images under high illumination, including the following steps:

[0045] Step 1: Select a digital image acquired under high illumination figure 2 (a) is the source image S, obtain the chrominance values ​​R(x, y), G(x, y), and B(x, y) of the red, green and blue components of each pixel of the source image S, According to the method in the Chinese patent "High-resolution detection method for image grayscale / chromaticity information for underlying image mining" (patent number: 200610054324.9), the chromaticity spectrum of the three components of red, green and blue is made, and each The luminance value L(x, y) of pixel points obtains the average luminance AL=140.1861 of the source image S;

[0046] Step 2: Generate a standardized image B of the source image S, and the standardized image B can be obtained by the following methods:

[0047] (1) Search for the left boundary values ​​Leftr, Leftg...

Embodiment 2

[0069] The steps of this embodiment are roughly the same as those of Embodiment 1, the difference is that the source image S of this embodiment is such as image 3 As shown in (a), the calculated average brightness is 141.6062; the final optimized image is as follows image 3 As shown in (b), the average brightness is 130.4181, which is closer to the average brightness of 127.5 which is most suitable for human vision. From the perspective of human visual effect, the quality is also better.

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Abstract

The invention discloses a high-illuminance digital image fast adaptive optimization method which comprises the following steps: (I) selecting a digital image obtained under high illuminance as a source image, obtaining chroma values of red, green and blue components of each pixel point of the source image, drawing the chroma spectrums of the red, green and blue components, and calculating a key parameter for adaptive optimization: the average brightness of the source image; (II) generating a standard image of the source image; and (III) performing fast optimization on the standard image to obtain the optimized image. The method disclosed by the invention can adaptively realize optimization of the high-illuminance digital image according to the average brightness of the original image without multiple times of scanning, greatly saves the processing time, realizes the real-time processing of the quality optimization of a digital image, and is effectively applied to the field of video processing.

Description

technical field [0001] The invention belongs to the technical field of image processing, and is a method for adaptively and quickly obtaining the quality-optimized digital image of a high-illuminance image by using a modified Zadeh-X transformation method. Background technique [0002] An image with an image average brightness AL>127.5 is called a high-brightness image, which originates from the high illumination of the scene (imaging object). The higher the brightness of the image, the lower the contrast resolution of the human eye, and the worse the visual quality of the image. The inventor previously proposed a method for obtaining color images with the best quality (patent number: ZL200910190834.2), which can obtain the maximum value of the color image quality evaluation function NCAF by scanning the value of the transformation parameter Delta of the Zadeh-X transformation, to obtain the best quality image corresponding to the original color image. However, this met...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 熊兴良王志芳谢正祥
Owner CHONGQING MEDICAL UNIVERSITY