Image Recovery Via Hybrid Sparse Representations: A Deterministic Annealing Approach

Local smoothness and nonlocal similarity have both led to sparsity prior useful to image recovery applications. In this paper, we propose to combine the strengths of local and nonlocal sparse representations by Bayesian model averaging (BMA) where sparsity offers a plausible approximation of model p...

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Bibliographic Details
Published in:	IEEE journal of selected topics in signal processing Vol. 5; no. 5; pp. 953 - 962
Main Author:	Li, Xin
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.09.2011 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Annealing Approximation Bayesian methods Bayesian model averaging (BMA) Clustering algorithms deterministic annealing (DA) image recovery iterative thresholding local smoothness Noise reduction nonconvex optimization nonlocal similarity Optimization Pixel PSNR Recovery Representations Sparsity Studies Surface layer Texture
ISSN:	1932-4553, 1941-0484
Online Access:	Get full text
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