标题:Adaptive Search Based Non-Local Means Image De-noising
作者:Sun, Weifeng; Han, Min
通讯作者:Sun, WF
作者机构:[Sun, Weifeng; Han, Min] Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China.
会议名称:2nd International Congress on Image and Signal Processing
会议日期:OCT 17-19, 2009
来源:PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9
出版年:2009
页码:450-453
关键词:non-local means; locally adaptive anisotropic estimation; de-noising
摘要:Non-Local Means (NLM) is currently a leading approach in the image de-noising field. It uses the weighted average of all pixels in an image to recover the noise-free pixel values. However, if the pixel values used for average do not lie in the same gray levels as the one to be restored, they will make negative contributions to the de-noising performance. In this paper, we present an adaptive search based image de-noising method that combines the Non-Local Means algorithm with a locally adaptive anisotropic estimation technique, which can select the "right" pixels for NLM averaging process. Experiment results show that the proposed algorithm has superior performance than the original one in terms of PSNR, SSIM, and also in visual quality.
收录类别:CPCI-S
WOS核心被引频次:1
资源类型:会议论文
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