%0 Journal Article
%T A Method for Image De-noising Based on Nonsubsampled Pyramid Contourlet Transform<br>一种基于非抽样LP的Contourlet变换图像去噪方法
%A WANG Faniu
%A LIANG Dong
%A CHENG Zhiyou
%A TANG Jun
%A <br>王发牛
%A 梁 栋
%A 程志友
%A 唐 俊
%J 中国图象图形学报
%D 2009
%I 
%X By enriching redundancy of the contourlet transform, it is possible to weaken pseudo-Gibbs phenomena in the process of image de-noising by thresholding. In order to remove noise from image effectively and quickly, by enriching redundancy of the contourlet transform and avoiding too much data, a method for image de-noising based on non-subsampled pyramid contourlet transform is proposed. The method decomposes noisy image using nonsubsampled LP for multi-scale, and decomposes sub-image using critical sampled DFB, then performs scale related threshold for shrinkage, finally reconstructs de-noised image. Experiments compared with other related methods show that the proposed method, on the PSNR values of the de-noised images, yields improvements up to 1dB over original contourlet transform; on the time consumption, costs half less than other improved methods.
%K image de-noising
%K Contourlet transform
%K nonsubsampled filter banks<br>图像去噪
%K Contourlet变换
%K 非抽样滤波器
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=72D5A5C564A216820F835643295636F7&yid=DE12191FBD62783C&vid=F3583C8E78166B9E&iid=38B194292C032A66&sid=D9202C57BAB9096F&eid=8C5DE51F0A009A0F&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=7