%0 Journal Article
%T Improved Total Variation Algorithms to Remove Noise<br>改进的总变分去噪算法
%A CHEN Li-xia
%A SONG Guo-xiang
%A DING Xuan-hao
%A WANG Xu-dong
%A <br>陈利霞
%A 宋国乡
%A 丁宣浩
%A 王旭东
%J 光子学报
%D 2009
%I 
%X The standard TV model is prone to lose important information while processing images with rich textures,and generally,it uses the gradient,which is sensitive to noise,to detect edges.To overcome these weaknesses,two improved models are proposed.Based-on the standard TV model,model A has two improvements:one is to introduce an edge detecting function to induct diffusion,the other is to use the module of a wavelet transform to detect edges.These improvements make model A not only can smooth according to the f...
%K Partial differential equation
%K Image de-noising
%K Wavelet
%K Total variation
%K TV model<br>偏微分方程
%K 图像去噪
%K 小波
%K 总变分
%K TV模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=9F6139E34DAA109F9C104697BF49FC39&aid=ABA2F1F8DEACAEA0F4641DA3D76620C0&yid=DE12191FBD62783C&vid=16D8618C6164A3ED&iid=E158A972A605785F&sid=FC20C40D27903A85&eid=F0CB1CC137DFCF2D&journal_id=1004-4213&journal_name=光子学报&referenced_num=1&reference_num=13