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
收藏
页码：565 / 570
页数：6
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