Wavelet-based image denoising using variance field diffusion

被引：2

作者：

Liu, Zhenyu ^{[2
]}

Tian, Jing ^{[1
]}

Chen, Li ^{[1
]}

Wang, Yongtao ^{[3
]}

机构：

[1] Wuhan Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan 430081, Peoples R China

[2] Zaozhuang Univ, Sch Math & Stat, Zaozhuang 277160, Peoples R China

[3] Peking Univ, Inst Comp Sci & Technol, Beijing 100871, Peoples R China

来源：

OPTICS COMMUNICATIONS | 2012年 / 285卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Image restoration; Wavelet; Diffusion;

D O I：

10.1016/j.optcom.2011.12.026

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Wavelet shrinkage is an image restoration technique based on the concept of thresholding the wavelet coefficients. The key challenge of wavelet shrinkage is to find an appropriate threshold value, which is typically controlled by the signal variance. To tackle this challenge, a new image restoration approach is proposed in this paper by using a variance field diffusion, which can provide more accurate variance estimation. Experimental results are provided to demonstrate the superior performance of the proposed approach. (C) 2011 Elsevier B.V. All rights reserved.

引用

页码：1744 / 1747

页数：4

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