Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1534
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Title: Adaptive image noise filtering using transform domain local statistics
Authors: Choy, SSO
Chan, YH 
Siu, WC 
Issue Date: Aug-1998
Source: Optical engineering, Aug. 1998, v. 37, no. 8, p. 2290-2296
Abstract: Image noise filtering has been widely perceived as an estimation problem in the spatial domain. In this paper, we deal with it as an estimation problem in an uncorrelated transform domain. This idea leads to a generalization of the adaptive LMMSE estimator for filtering noisy images. In our proposed method, the transform-domain local statistics obtained from the noisy image are exploited. Due to the fact that the transform-domain local statistics carry more information about the image than the spatial-domain local statistics do, improvement in noise filtering is gained overall and particularly significant in the vicinity of edges.
Keywords: Image restoration
Image noise smoothing
Adaptive LMMSE estimation
Local statistics
Decorrelation
Publisher: SPIE-International Society for Optical Engineering
Journal: Optical engineering 
ISSN: 0091-3286
EISSN: 1560-2303
DOI: 10.1117/1.601750
Rights: Copyright 1998 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
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