计算机工程与应用2011，Vol.47Issue(29)：192-195,4.DOI:10.3778/j.issn.1002-8331.2011.29.054
一种利用局部块相似均值去噪的方法
Method to image denoising by using local similar block means
摘要
Abstract
Non Local Means(NLM) is a state-of-the-art method for image denoising based on a nonlocal weighted mean of image blocks' similarity.It performs well on Gaussian noisy images.However, local extremal points are prone to yield in smoothing area.By analyzing strengths and weaknesses of NLM's searching area and similarity function,the reasons of extre mal points' appearance in smoothing area are given.A novel image denoising method based on NLM framework is presented to achieve improved performance.The new method adopts a compact weight set by using a threshold based on image block variation to eliminate irrelevant similar blocks.Compared with the original NLM,the new method is more efficient in keeping smooth in homogeneous areas and boundary maintenance according to the experimental results.关键词
去噪/非局部平均/相似性/度量函数/搜索区域/图像块Key words
denoising/non-local means/similar/distance function/searching area/image block分类
信息技术与安全科学引用本文复制引用
张勇,兰义华,任浩征,李明..一种利用局部块相似均值去噪的方法[J].计算机工程与应用,2011,47(29):192-195,4.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.40806011) （the National Natural Science Foundation of China under Grant No.40806011）
江苏省自然科学基金(No.BK20082140) （No.BK20082140）
连云港市软科学研究计划(No.RK1018) （No.RK1018）
淮海工学院自然科学基金(No.Z2009013). （No.Z2009013）
