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Accelerated Joint Image Despeckling Algorithm in the Wavelet and Spatial Domains
Adib Akl, Charles Yaacoub
Pages - 102 - 126     |    Revised - 01-05-2015     |    Published - 31-05-2015
Volume - 9   Issue - 3    |    Publication Date - May / June 2015  Table of Contents
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KEYWORDS
Denoising, Spatial Filter, Speckle, Wavelet.
ABSTRACT
Noise is one of the most widespread problems present in nearly all imaging applications. In spite of the sophistication of the recently proposed methods, most denoising algorithms have not yet attained a desirable level of applicability. This paper proposes a two-stage algorithm for speckle noise reduction jointly in the wavelet and spatial domains. At the first stage, the optimal parameter value of the spatial speckle reduction filter is estimated, based on edge pixel statistics and noise variance. Then the optimized filter is used at the second stage to additionally smooth the approximation image of the wavelet sub-band. A complexity reduction algorithm for wavelet decomposition is also proposed. The obtained results are highly encouraging in terms of image quality which paves the way towards the reinforcement of the proposed algorithm for the performance enhancement of the Block Matching and 3D Filtering algorithm tackling multiplicative speckle noise.
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Mr. Adib Akl
Faculty of Engineering, Department of Telecommunica tions Holy Spirit University of Kaslik (USEK) Jounieh, P.O. Box 446, Lebanon - Lebanon
adibakl@usek.edu.lb
Associate Professor Charles Yaacoub
Faculty of Engineering, Department of Telecommunica tions Holy Spirit University of Kaslik (USEK) Jounieh, P.O. Box 446, Lebanon - Lebanon