Evaluating Diffusion-Based Image De-noising Techniques

被引：0

作者：

Nadernejad, E. ^{[1
]}

Hassanpour, H. ^{[1
]}

机构：

[1] Islamic Azad Univ, Ghaemshahr Branch, Tehran, Iran

来源：

ICIAS 2007: INTERNATIONAL CONFERENCE ON INTELLIGENT & ADVANCED SYSTEMS, VOLS 1-3, PROCEEDINGS | 2007年

关键词：

Digital Image Processing; Image De-noising; Diffusion Equations;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper evaluates three recently developed diffusion-based image de-noising techniques. Diffusion-based methods have advantage of preserving image edges. In addition, it was shown that the blocking effects and iterations algorithms in these methods are considerably decreased compared to other non-diffusion based approaches. How ever, the threshold value of the diffusion coefficient is a crucial parameter for de-noising technique. Hence this paper suggests the threshold value to be selected adaptively

引用

页码：565 / 570

页数：6

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