Denoising of Images Using Locally Adaptive Wiener Filter in Wavelet Domain

Ick-Hoon JANG
Nam-Chul KIM

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E84-D    No.4    pp.495-501
Publication Date: 2001/04/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Image Processing, Image Pattern Recognition
Keyword: 
image restoration,  Lee filter,  Wiener filter,  multiresolution,  wavelet transform,  

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Summary: 
In this paper, a Wiener filtering method in wavelet domain is proposed for restoring an image corrupted by additive white noise. The proposed method utilizes the multiscale characteristics of wavelet transform and the local statistics of each subband. The size of a filter window for estimating the local statistics in each subband varies with each scale. The local statistics for every pixel in each wavelet subband are estimated by using only the pixels which have a similar statistical property. Experimental results show that the proposed method has better performance over the Lee filter with a window of fixed size.


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