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Improved self-adapting histogram equilibrium method

A histogram equalization and self-adaptive technology, applied in image enhancement, image data processing, instruments, etc., can solve problems affecting computing speed and image chromaticity, and achieve the effect of noise diffusion and texture merging.

Inactive Publication Date: 2009-08-19
SICHUAN PANOVASIC TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Only the brightness is processed, and the chromaticity of the processed image is affected, and if the histogram equalization is performed on the RGB three channels separately, the calculation speed will be affected

Method used

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  • Improved self-adapting histogram equilibrium method
  • Improved self-adapting histogram equilibrium method

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Embodiment Construction

[0023] In order to better understand the present invention, the present invention will be described in more detail below in conjunction with the accompanying drawings and specific embodiments. In the following description, when detailed descriptions of existing prior art may obscure the subject matter of the present invention, such descriptions will be omitted here.

[0024] figure 1 is a schematic diagram of sub-image block division during adaptive histogram equalization image enhancement. This figure has been described in the background art, and will not be repeated here.

[0025] figure 2 A flow chart of a specific embodiment of the present invention. In this implementation, the following steps are included:

[0026] Step ST101: convert the input image into a brightness grayscale image, and the brightness value of the image pixel is:

[0027] Y=0.27×R+0.67×G+0.06×B (1)

[0028] Step ST102: Calculate brightness correlation coefficient. The brightness correlation coef...

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Abstract

The invention discloses an improved self-adaptive histogram equalization method. By finding a dividing gray scale which divides the total number of pixels of each sub-image block into a proximate half, and counting the the total number of the pixels in both high light areas and low light areas of the images, the adjusting parameters of the high light areas and low light areas of the images are calculated, and sub-image blocks are divided into high light areas and low light areas and then respectively subjected to histogram equalization, thereby effectively solving the problems of noise diffusion and texture merging.

Description

technical field [0001] The invention relates to an improved adaptive histogram equalization method in image enhancement processing. Background technique [0002] Image enhancement is the most basic means of image processing, and it is often the preprocessing process of various image analysis and processing. The purpose of image enhancement is to improve the visual effect of the image and provide an intuitive, clear and suitable image for analysis by correcting the gray scale of the image. Histogram equalization is one of the most commonly used and important techniques in image enhancement space. It is based on the probability theory, and uses the gray point operation to realize the change of the histogram so as to achieve the purpose of image enhancement. [0003] Cumulative histogram equalization (i.e. CDF). The cumulative distribution histogram is calculated by the cumulative distribution function of the gray value distribution histogram of the original image. The cumu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/40
Inventor 李慧然袁梓瑾吴亚东鲁国宁
Owner SICHUAN PANOVASIC TECH
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