%0 Journal Article
%T Review of medical image enhancement technology based non-local patch<br>基于非局部信息的医学图像降噪技术综述
%A DUAN Long-yan
%A TIAN Wen
%A XU Man-tao
%A CHEN Ya-zhu
%A <br>段隆焱
%A 田　文
%A 徐漫涛
%A 陈亚珠
%J 计算机应用研究
%D 2013
%I 
%X Taking into account the improvement of the contrast between regions of interest and the background and denoising, the effective techniques of medical image enhancement can improve image quality and maintain the original characteristics of the texture while denoising, which is helpful to get the correct results in the early clinical diagnosis of disease. This paper surveyed several common methods based on non-local patch medical image enhancement, including non-local mean filtering algorithm, three-dimensional block-matching (BM3D) algorithm, and morphological component analysis (MCA) algorithm. And it described and compared the status and principle of these methods. Finally, it introduced one of the currenty trends for medical image enhancement, which was based on the context quantization.
%K 医学图像增强
%K 上下文量化
%K 非局部均值（NLM）
%K 三维块匹配（BM3D）
%K 形成成分分析（MCA）
%K GSM
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=57319E4289F4438FD31C8FBE3BADC053&yid=FF7AA908D58E97FA&vid=340AC2BF8E7AB4FD&iid=38B194292C032A66&sid=06DAE5E1DF7D0B6A&eid=93661EC4C0CCEA67&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=50