Optimum parameter estimation for non-local means image de-noising using corner information

摘要：

Non-local means (a.k.a.NL-means) method for image de-noising averages the similar parts of an image to reduce random noise.The de-noising performance of the algorithm,however,highly depends on the values of its parameters.In this paper,we introduce a method for finding the optimum parameters,present a linear estimation for the h parameter,and demonstrate that the most important parameter in this method is almost independent of the image and depends only on the noise.We also show that the de-noising performance can be increased by using corner information of noisy image.Our modifications result in better de-noising performance at less computational cost.

作者: Alireza Nasiri Avanaki Abolfazl Diyanat Shabnam Sodagari

作者单位: Control and Intelligent Processing Center of Excellence,School of ECE,University of Tehran P.O.Box 1 Deparment of Electrical Engineering,The Pennsylvania State University University Park,PA 16802,USA

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）