DocumentCode :
1857328
Title :
An Adaptive Non-local Means Filter Based on Region Homogeneity
Author :
Xia Lan ; Huanfeng Shen ; Liangpei Zhang
Author_Institution :
Sch. of Math. & Stat., Wuhan Univ., Wuhan, China
fYear :
2013
fDate :
26-28 July 2013
Firstpage :
50
Lastpage :
54
Abstract :
In this paper, a local scale measure is presented for the detection of homogeneous regions in an image. Then, based on region homogeneity, an adaptive nonlocal means filter (ANLMF) is proposed. In this method, the neighborhood window size for denoising varies adaptively, according to the local scale measure. Experiments show that the proposed filter (ANLMF) is better than the state-of-the-art nonlocal means filter (NLMF).
Keywords :
adaptive filters; image denoising; ANLMF; adaptive nonlocal means filter; image denoising; image homogeneous region detection; local scale measure; neighborhood window size; region homogeneity; Adaptive filters; Educational institutions; Filtering algorithms; Maximum likelihood detection; Noise; Noise reduction; Nonlinear filters; Gaussian noise; Image denoising; non-local means filter; region homogeneity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Graphics (ICIG), 2013 Seventh International Conference on
Conference_Location :
Qingdao
Type :
conf
DOI :
10.1109/ICIG.2013.16
Filename :
6643635
Link To Document :
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