%0 Journal Article
%T Image Denoising Based on Nonsubsampled Contourlet Transform and Bivariate Model<br>基于非下采样Contourlet变换和双变量模型的图像去噪
%A Bian Ce Zhong Hua Jiao Li-cheng
%A <br>边策
%A 钟桦
%A 焦李成
%J 电子与信息学报
%D 2009
%I 
%X This paper proposes a new image denoising method based on the NonsubSampled Contourlet Transform(NSCT) and the bivariate model under the framework of Bayesian MAP estimation theory. The proposed algorithm uses the NSCT's advantages of translation-invariant and multidirection-selectivity,exploits the intra-scale and inter-scale correlations of NSCT coefficients,and elaborates the method of noise estimation. Compared with some current outstanding denoising methods,the simulation results and analysis show that...
%K Image denoising
%K NonsubSampled Contourlet Transform(NSCT)
%K Bivariate model<br>图像去噪
%K 非下采样Contourlet变换
%K 双变量模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=B9C7EE45AF903C5F66F791F6307F5D1C&yid=DE12191FBD62783C&vid=4AD960B5AD2D111A&iid=38B194292C032A66&sid=B4F9D541F855CF96&eid=90075EB19043D533&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=8