%0 Journal Article
%T A New Method Based on Wavelet Transform for Image Denoising<br>一种基于小波变换的图像去噪新方法
%A TIAN Pei
%A LI Qing-zhou
%A MA Ping
%A NIU Yu-guang
%A <br>田沛 李庆周
%A 马平 牛玉广
%J 中国图象图形学报
%D 2008
%I 
%X A method for image denoising is proposed.After performing multi-resolution wavelet decomposition on corrupted image,the wavelet coefficients of noise are Gaussian distribution,and have different variances in different levels.Based on this,wiener filter is applied to the wavelet coefficients on different subbands and orientations,and leave wavelet coefficients in the low frequency domain without change,to estimate the wavelet coefficients of the clean image.Then the inverse wavelet transform is applied to the modified wavelet coefficients,resulting in the denoised image.At the end,experimental results show the validity of the proposed method.
%K wavelet transformation
%K wiener filtering
%K image denoising<br>小波变换
%K 维纳滤波
%K 图像去噪
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=701C330AF75C50C7A43DC30CA943A25A&yid=67289AFF6305E306&vid=FC0714F8D2EB605D&iid=38B194292C032A66&sid=0BD4FAD4A90498AB&eid=238BD7580EFCC5AE&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=8