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Blurred image deconvolution using Gaussian scale mixtures model in wavelet domain

Hanif, Muhammad; Seghouane, Abd-Krim

Description

Image restoration (deconvolution) is a basic step for image processing, analysis and computer vision. We addressed blurred image deconvolution problem using Expectation maximization (EM) based approach in the wavelet domain. The sparsity property of wavelet coefficients is modelled using the class of Gaussian Scale Mixture (GSM), which represents the heavy-tailed statistical distribution. The maximum a posterior (MAP) estimate is computed using EM, where scale factors of GSM plays the role of...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Conference paper
URI: http://hdl.handle.net/1885/71559
Source: 2012 International Conference on Digital Image Computing Techniques and Applications, DICTA 2012
DOI: 10.1109/DICTA.2012.6411692

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