%0 Journal Article
%T Shearlet shrinkage de-noising based total variation regularization<br>全变差正则化的Shearlet收缩去噪
%A huhaizhi
%A <br>胡海智
%J 中国图象图形学报
%D 2011
%I 
%X Shearlet is a new-style multi-scale geometry analysis tool. It creates Shearlet functions which have different characteristics through zooming, shearing, translating and other affine transforming methods, and enables its capable of optimally sparse representation. Firstly, a digital Shearlet transform implementation method is proposed in this paper. And then, a new de-noising method that combines Shearlet transform and variation is presented, which mainly been established using a total variation regularization model to constraint condition on Shearlet transform domain. The proposed model aims at reducing Pseudo-Gibbs artifacts after simple threshold methods. Numerical examples demonstrate that the method can remove noises and keep edges effectively, leading to improved visual effect and PSNR.
%K shearlet transform
%K total variation
%K image de-noising
%K PSNR<br>Shearlet变换
%K 全变差
%K 图像去噪
%K 峰值信噪比
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=CF826C0900709BAB4770187FF8908B9A&yid=9377ED8094509821&vid=7801E6FC5AE9020C&iid=0B39A22176CE99FB&sid=BBF7D98F9BEDEC74&eid=DABEF202280E7EF1&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=11