%0 Journal Article
%T Image Denoising Based on Non-based Estimator of Local Variance for Complex Wavelet Coefficients<br>基于复小波系数局部方差无偏估计量的图像去噪
%A ZHAO Ping
%A ZHAO Chun
%A SHANG Zhao-wei
%A <br>赵平
%A 赵春
%A 尚赵伟
%J 中国图象图形学报
%D 2008
%I 
%X In order to effective denoising, this paper proposes a new computationally feasible adaptive noise-smoothing algorithm that considers the local dependency characteristics of images under the complex dual-tree discrete wavelet transform (DWT). The variances of local statistics are estimated with a centered square-shaped window for each coefficient. Previous denoising algorithms tend to smear edges severely in the filtered result. The new denoising algorithm overcomes this problem. Some comparisons with the best available results will be given in order to illustrate the effectiveness of the proposed algorithm.
%K complex dual-tree discrete wavelet transform
%K image denoising
%K wavelet coefficients<br>双树复小波变换
%K 图像去噪
%K 小波系数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=F34B5B3721D83167EA5C4C47F58647AB&yid=67289AFF6305E306&vid=FC0714F8D2EB605D&iid=CA4FD0336C81A37A&sid=F3583C8E78166B9E&eid=13553B2D12F347E8&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=17