计算机应用与软件Issue(12)：43-47,51,6.DOI:10.3969/j.issn.1000-386x.2013.12.012
一种自适应的非局部均值图像去噪算法
AN ADAPTIVE NON LOCAL MEANS IMAGE DENOISING ALGORITHM
摘要
Abstract
In this paper, we make the improvements on non-local means (NL-Means) algorithm introduced by Buades et al .Original NL-Means algorithm has the defect in filtering parameter definition .In order to solve this problem , we present the solution for noise estimation by establishing the relation between noise variance and the filtering parameter .Besides , according to the distribution feature of wavelet coeffi-cients, the coefficients are fitted by using the generalised Gaussian distribution ( GGD) model parameters ( scale and shape parameters ) .We also propose an effective noise variance estimation method using GGD model parameters .Experimental results show that the noise variance es-timation method can effectively estimate the size of noise variance , it can also makes the original NL-means algorithm adaptive .Such adaptive NL-Means algorithm can reach approximately optimal value , and has robustness and fastness with high accuracy .关键词
非局部均值算法/滤波参数/GGD/小波域Key words
NL-Means algorithm/Filtering parameter/GGD/Wavelet domain分类
信息技术与安全科学引用本文复制引用
李洪均,谢正光,李蕴华,王伟..一种自适应的非局部均值图像去噪算法[J].计算机应用与软件,2013,(12):43-47,51,6.基金项目
国家自然科学基金项目（61171077）；江苏省高校自然科学研究项目（12KJB510025，12KJB510026）；交通部应用基础研究项目（2011-319-813-510）；南通市引进人才项目（03080415，  （）
03080416）；南通大学创新人才基金项目 （）
