文献类型：期刊文献

英文题名：Images denoising by improved non-local means algorithm

作者：He, Ning[1]; Lu, Ke[2]

第一作者：何宁

通讯作者：He, N.

机构：[1] School of Information, Beijing Union University, Beijing, 100101, China; [2] College of Computing and Communication Engineering, Graduate University of Chinese Academy of Sciences, Beijing, 100049, China

第一机构：北京联合大学智慧城市学院

年份：2011

卷号：164 CCIS

起止页码：33-39

外文期刊名：Communications in Computer and Information Science

收录：EI(收录号：20114514505534)

语种：英文

外文关键词：Bandpass filters - Image enhancement

摘要：A variety of methods have been introduced to remove noise from digital images. However, many algorithms remove the fine details and structure of the image in addition to the noise because of assumptions made about the frequency content of the image. The non-local means algorithm does not make these assumptions, but instead assumes that the image contains an extensive amount of redundancy. This work will implement the non-local means algorithm and compare it to other denoising methods in experimental results. The main focus of this paper is to propose an improved non-local means algorithm addressing the preservation of structure in a digital image. The NL-means algorithm is proven to be asymptotically optimal under a generic statistical image model. The powerful evaluation method to be the visualization of the method noise on natural images. ? 2011 Springer-Verlag.