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