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Image enhancement method based on combination of sharpening strength and gray scale distribution

A technology of image enhancement and grayscale distribution, applied in image enhancement, image data processing, instruments, etc., can solve the problems of no acquisition, clarity, and widening

Inactive Publication Date: 2011-09-21
XIAN UNIV OF TECH
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AI Technical Summary

Problems solved by technology

The existing image enhancement algorithm based on the gray histogram only widens the gray value with a large number of pixels in the image, and merges the gray value with a small number of pixels, so the contrast is not obtained for the edge details of the scene The widening can not achieve the purpose of making the image clear

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  • Image enhancement method based on combination of sharpening strength and gray scale distribution
  • Image enhancement method based on combination of sharpening strength and gray scale distribution
  • Image enhancement method based on combination of sharpening strength and gray scale distribution

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Embodiment Construction

[0053] The present invention will be described in detail below in combination with specific embodiments.

[0054] The present invention is an image enhancement method based on the combination of sharpening intensity and gray scale distribution, and the specific steps are as follows:

[0055] Step 1. Determine the brightness information of the color image

[0056] Assume that the size of the input color image is m×n (that is, the size of the digital image is m rows and n columns), and the red, green, and blue three-color matrix components of the color image are respectively R=[r(i, j)] m×n , G=[g(i,j)] m×n , B=[b(i,j)] m×n , then its brightness matrix component L=[l(i,j)] m×n Obtained by the following formula:

[0057] l(i,j)=max(r(i,j),g(i,j),b(i,j)), i=1,2,...,m,j=1,2,. . . . , n; (1)

[0058] Among them, r(i, j), g(i, j), b(i, j) and l(i, j) are the red, green and blue color components of the color image respectively, and the brightness component at point ( the value of...

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Abstract

The invention relates to an image enhancement method based on combination of sharpening strength and gray scale distribution, and the method comprises the following steps: firstly performing Laplace transform on brightness information of a color image, and performing statistics on mutation degree, namely the sharpening strength of each pixel point in the mage; secondly performing quantification on the sharpening strength, integrating quantified values into a gray scale histogram of a brightness component of the image for amending the quantified values, and performing gray scale contrast stretching; and finally completing enhancement of the color image. In the method, the contract stretching is performed on the whole image while the detailed information of the image is enhanced, thereby getting the better image enhancement effect.

Description

technical field [0001] The invention belongs to the technical field of digital image enhancement, and relates to a color image enhancement method based on the combination of sharpening intensity and gray scale distribution. Background technique [0002] The core of image enhancement is to enhance and highlight the important content of the image while suppressing the unimportant content. Through image enhancement, the display effect of the image can be improved, and it can also be helpful for other subsequent processing such as object recognition of the image. The existing image enhancement algorithm based on the gray histogram only widens the gray value with a large number of pixels in the image, and merges the gray value with a small number of pixels, so the contrast is not obtained for the edge details of the scene The widening can not achieve the purpose of making the image clear. In other words, for parts with gradients and concentrated grayscale distribution, even if ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/40
Inventor 王栋赵文平朱虹康凯刑楠刘薇
Owner XIAN UNIV OF TECH
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