%0 Journal Article
%T A New Method Using DCT Based on Contourlet Transform for Image De-noising<br>基于Contourlet变换的图像DCT去噪新方法
%A ZHOU Xian-guo
%A LI Kai-yu
%A <br>周先国
%A 李开宇
%J 中国图象图形学报
%D 2009
%I 
%X To improve image de-nosing effect,in this paper,a new method based on discrete cosine transform (DCT) in Contourlet domain is proposed,which utilizes noise energy rather than relying on accurate estimation of noise variance to perform image de-noising.This new method not only overcomes the psuedo-Gibbs phenomenon of the hard-thresholding method but also can avoid signal distortion which is caused by the soft-thresholding.Experiments show that the performance of the proposed method is obviously superior to other methods both in vision and in PSNR and is of more practical use.
%K 图像去噪
%K 小波变换
%K Contourlet变换
%K 离散余弦变换
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=8D808E43DA8EFC6ED90B233D9B30B7D5&yid=DE12191FBD62783C&vid=F3583C8E78166B9E&iid=708DD6B15D2464E8&sid=A3E26DBFF210DD2D&eid=251B195C0CA64B0A&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=10