Anisotropic diffusion equation with a new diffusion coefficient for image denoising

被引：0

作者：

Yang Xu

Jianjun Yuan

机构：

[1] Chongqing University,College of Optoelectronic Engineering

[2] Chongqing University,The Key Laboratory for Optoelectronic Technology and Systems Ministry of Education of China

[3] Southwest University,School of Mathematics and Statistics

来源：

Pattern Analysis and Applications | 2017年 / 20卷

关键词：

Anisotropic diffusion; Perona–Malik model; Nonlocal means;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

This paper presents a new anisotropic diffusion model which is based on a new diffusion coefficient for image denoising. In the proposed model, a new diffusion coefficient and a method of automatically set gradient threshold parameter are introduced into an anisotropic diffusion model, which weakens the staircasing effect and preserves fine edges in a processed image. Comparative experiments show that the new model achieves the more satisfied denoising results than the other existing models.

引用

页码：579 / 586

页数：7

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