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A signal denoising algorithm based on overcomplete wavelet representations and Gaussian models
In this paper, we propose a simple signal estimation algorithm based on multiple wavelet representations and Gaussian observation models. The proposed algorithm has two major steps: a joint-optimum estimation of the wavelet coefficients and an averaging of the denoised images. Experimental results show that the denoising performance of proposed algorithm is comparable to that of the state of the art. © 2006 Elsevier B.V. All rights reserved.
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Journal
Signal ProcessingVolume
87Issue
5Pagination
866 - 876Publisher DOI
ISSN
0165-1684Publication classification
C1.1 Refereed article in a scholarly journalUsage metrics
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