Spatially Adaptive Noise Removal Algorithm Using Local Statistics

Tuan-Anh NGUYEN  Won-Seon SONG  Min-Cheol HONG  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E94-A   No.1   pp.452-456
Publication Date: 2011/01/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E94.A.452
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Image
Keyword: 
noise,  detection,  removal,  local statistics,  smoothness,  

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Summary: 
In this letter, we propose a spatially adaptive noise removal algorithm using local statistics. The proposed algorithm consists of two stages: noise detection and removal. In order to solve the trade-off between the effective noise suppression and the over-smoothness of the reconstructed image, local statistics such as local maximum and the local weighted activity is defined. With the local statistics, the noise detection function is defined and a modified Gaussian filter is used to suppress the detected noise components. The experimental results demonstrate the effectiveness of the proposed algorithm.