Non-Local Means Denoising

被引:575
作者
Buades, Antoni [1 ]
Coll, Bartomeu [2 ]
Morel, Jean-Michel [3 ]
机构
[1] CNRS Paris Descartes, Paris, France
[2] Univ Illes Balears, Palma De Mallorca, Spain
[3] ENS Cachan, CMLA, Cachan, France
来源
IMAGE PROCESSING ON LINE | 2011年 / 1卷
关键词
nlmeans; non-local means; non-local; denoising;
D O I
10.5201/ipol.2011.bcm_nlm
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We present in this paper a new denoising method called non-local means. The method is based on a simple principle: replacing the color of a pixel with an average of the colors of similar pixels. But the most similar pixels to a given pixel have no reason to be close at all. It is therefore licit to scan a vast portion of the image in search of all the pixels that really resemble the pixel one wants to denoise. The paper presents two implementations of the method and displays some results.
引用
收藏
页码:208 / 212
页数:5
相关论文
共 3 条
[1]   A review of image denoising algorithms, with a new one [J].
Buades, A ;
Coll, B ;
Morel, JM .
MULTISCALE MODELING & SIMULATION, 2005, 4 (02) :490-530
[2]   A non-local algorithm for image denoising [J].
Buades, A ;
Coll, B ;
Morel, JM .
2005 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 2, PROCEEDINGS, 2005, :60-65
[3]  
Buades A, 2007, EP Patent, Patent No. [1,749,278, 1749278]