一种基于感兴趣区域的小波域降噪技术  

A Wavelet Domain Denoising Technique Based on Regions of Interest

作　　者：石良武[1] 谭利娜[1] 

机构地区：[1]湖南商学院现代教育技术中心,湖南长沙410205

出　　处：《江西师范大学学报（自然科学版）》2009年第1期64-68,共5页Journal of Jiangxi Normal University(Natural Science Edition)

基　　金：湖南省自然科学基金(04JJ40048)资助项目

摘　　要：提出了一种强大的用于医学图像噪声过滤的小波域方法,该方法能自适应各类不同的图像噪声,且通过一个单一参数来平衡降噪程度和相关细节的保护以及医学专家的优先选择.该方法是低复杂度的,实验结果表明它在医学图像抑噪方面的有效性.A robust wavelet domain noise filtering method for medical images was proposed. The method was adapted to various kinds of noise, and a single parameter was used to balance the degree of noise reduction and preservation of relevant details as well as the choice of medical experts. The proposod method is of low complexity and the resuhs show its efficiency in medical image denoising.

关 键 词：小波 广义似然比 联合探测和估计 

分 类 号：O174[理学—数学]