Variational Bayesian Blind Image Deconvolution: A review

Ruiz, Pablo; Zhou, Xu; Mateos, Javier; Molina, Rafael; Katsaggelos, Aggelos K.

doi:10.1016/j.dsp.2015.04.012

Variational Bayesian Blind Image Deconvolution: A review

Journal Article · Mon May 04 00:00:00 EDT 2015 · Digital Signal Processing

DOI:https://doi.org/10.1016/j.dsp.2015.04.012· OSTI ID:1487825

Ruiz, Pablo ^[1]; ^[2]; Mateos, Javier ^[3]; Molina, Rafael ^[3]; ^[4]

Univ. de Granada, Granada (Spain); Northwestern University
Beihang Univ., Beijing (China)
Univ. de Granada, Granada (Spain)
Northwestern Univ., Evanston, IL (United States)

In this study, we provide a review of the recent literature on Bayesian Blind Image Deconvolution (BID) methods. We believe that two events have marked the recent history of BID: the predominance of Variational Bayes (VB) inference as a tool to solve BID problems and the increasing interest of the computer vision community in solving BID problems. VB inference in combination with recent image models like the ones based on Super Gaussian (SG) and Scale Mixture of Gaussians (SMG) representations have led to the use of very general and powerful tools to provide clear images from blurry observations. In the provided review emphasis is paid on VB inference and the use of SG and SMG models with coverage of recent advances in sampling methods. We also provide examples of current state of the art BID methods and discuss problems that very likely will mark the near future of BID.

View Accepted Manuscript (DOE)

Research Organization:: Northwestern Univ., Evanston, IL (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA), Office of Nonproliferation and Verification Research and Development (NA-22)

Grant/Contract Number:: NA0002520

OSTI ID:: 1487825

Alternate ID(s):: OSTI ID: 1556195

Journal Information:: Digital Signal Processing, Journal Name: Digital Signal Processing Journal Issue: C Vol. 47; ISSN 1051-2004

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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