Anisotropic Diffusion Image Denoising Based on Grey System Theory

doi:10.3969/j.issn.1006-2475.2016.02.005

Abstract

Abstract: In order to overcome the shortage of anisotropic diffusion image denoising algorithm for weak boundary and details, the author puts forward a kind of anisotropic diffusion image denoising method of fusion of grey correlation degree. Through calculating the grey correlation degree of local neighborhood of image pixels, by which determining its neighborhood is edge of the area or the smooth area, the image noise is removed by using different diffusion coefficient. The experimental results show that the algorithm can effectively remove the image noise, preserve image details, and provide an effective way to study the gray correlation theory.

Key words: grey correlation degree, anisotropic diffusion, image denoising, grey system theory

YANG Xing-jiang1,3, LIAO Zhi-wu2, PU Yong-hua3. Anisotropic Diffusion Image Denoising Based on Grey System Theory[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2016.02.005.

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