Image denoising based on combination of Wiener filter and wavelet shrinkage

被引：1
|
作者：
Dai, Wenzhan [1 ]
Ye, Yulei [1 ]
机构：
[1] Zhejiang Gongshang Univ, Coll Informat & Elect Engn, Hangzhou, Zhejiang Prov, Peoples R China
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON INTEGRATION TECHNOLOGY, PROCEEDINGS | 2007年
关键词：
wavelet shrinkage; image de-noising; Wiener filter;
D O I：
10.1109/ICITECHNOLOGY.2007.4290510
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
First, a new thresholding function based on the wavelet shrinkage is presented. The shortcoming of discontinues function in hard thresholding and of the permanent bias in soft thresholding can be overcome. And then a new image de-noising approach based on combination of wiener filter and wavelet shrinkage is also put forward. In this new approach, the image noise is filtered out while the edges of image are well preserved. Simulation result shows that the new approach presented in this paper is more effective and predominant than other de-noising methods.
引用
收藏
页码：421 / +
页数：2
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