Bilateral signal variance estimation for wavelet-domain image denoising

被引：0
|
作者：
SHI JingLun [1 ]
LIU ZhenYu [2 ]
TIAN Jing [3 ]
机构：
[1] School of Electronic and Information Engineering,South China University of Technology
[2] School of Mathematics and Statistics,Zaozhuang University
[3] School of Computer Science and Technology,Wuhan University of Science and Technology
来源：
Science China(Information Sciences) | 2013年 / 56卷 / 06期
基金：
中国国家自然科学基金;
关键词：
image denoising; bilateral filtering; wavelet;
D O I：
暂无
中图分类号：
TP391.41 [];
学科分类号：
080203 ;
摘要：
The estimation of the signal variance is a critical challenge in wavelet-domain minimum mean square error(MMSE) based image denoising.In contrast to the conventional approaches that treat the neighboring wavelet coefficients equally to estimate the signal variance at each coefficient position,here an adaptive approach is proposed that utilizes a bilateral statistical scheme adaptively adjusting the contributions of neighboring wavelet coefficients to provide an accurate estimation of the signal variance.Experimental results are presented to demonstrate the superior performance of the proposed approach.
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页码：87 / 92
页数：6
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