上海大学学报(自然科学版) ›› 2009, Vol. 15 ›› Issue (4): 346-350.

• 通信与信息工程 • 上一篇    下一篇

基于各向异性扩散的降噪新方法

赖新平 胡海平   

  1. 上海大学 理学院,上海 200444
  • 收稿日期:2008-04-22 出版日期:2009-08-30 发布日期:2009-08-30
  • 通讯作者: 胡海平(1966~),男,副教授,研究方向为图像处理. E-mail:hu_jack@staff.shu.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(10572080)

New Method for Noise Removal Based on Anisotropic Diffusion

  1. College of Sciences, Shanghai University, Shanghai 200444, China
  • Received:2008-04-22 Online:2009-08-30 Published:2009-08-30

摘要:

提出一种基于各向异性扩散的图像降噪新方法.该方法能够避免Perona和Malik以及You和Kaveh等人提出的方法中对参数选择的困难, 而且也能够克服Catte方案对图像进行预平滑的过程中所面临的问题.实验结果表明,该方法在图像增强过程中的降噪和细节保留方面都能有较好的效果.

关键词: 图像去噪;各向异性扩散;偏微分方程;细节保留

Abstract:

In this paper, we discuss deficiency of the PeronaMalik scheme and some other schemes derived from it, and propose a new operator. The proposed method can avoid difficulties in choosing parameters encountered in Perona-Malik and You-Kaveh schemes, and overcome the pre-smoothing problems in the Catte scheme. Experimental results show that the new scheme can achieve good results in noise removal and detail preservation in image smoothing.

Key words: image removal; anisotropic diffusion; partial differential equation; detail preservation

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