DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Variational Bayesian Blind Image Deconvolution: A review

Abstract

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.

Authors:
 [1]; ORCiD logo [2];  [1];  [1]; ORCiD logo [3]
  1. Univ. de Granada, Granada (Spain)
  2. Beihang Univ., Beijing (China)
  3. Northwestern Univ., Evanston, IL (United States)
Publication Date:
Research Org.:
Northwestern Univ., Evanston, IL (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA), Office of Nonproliferation and Verification Research and Development (NA-22); USDOE
OSTI Identifier:
1487825
Alternate Identifier(s):
OSTI ID: 1556195
Grant/Contract Number:  
NA0002520
Resource Type:
Accepted Manuscript
Journal Name:
Digital Signal Processing
Additional Journal Information:
Journal Volume: 47; Journal Issue: C; Journal ID: ISSN 1051-2004
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; Blind deconvolution; Image deblurring; Image restoration; Variational Bayesian; Bayesian modeling

Citation Formats

Ruiz, Pablo, Zhou, Xu, Mateos, Javier, Molina, Rafael, and Katsaggelos, Aggelos K. Variational Bayesian Blind Image Deconvolution: A review. United States: N. p., 2015. Web. doi:10.1016/j.dsp.2015.04.012.
Ruiz, Pablo, Zhou, Xu, Mateos, Javier, Molina, Rafael, & Katsaggelos, Aggelos K. Variational Bayesian Blind Image Deconvolution: A review. United States. https://doi.org/10.1016/j.dsp.2015.04.012
Ruiz, Pablo, Zhou, Xu, Mateos, Javier, Molina, Rafael, and Katsaggelos, Aggelos K. Mon . "Variational Bayesian Blind Image Deconvolution: A review". United States. https://doi.org/10.1016/j.dsp.2015.04.012. https://www.osti.gov/servlets/purl/1487825.
@article{osti_1487825,
title = {Variational Bayesian Blind Image Deconvolution: A review},
author = {Ruiz, Pablo and Zhou, Xu and Mateos, Javier and Molina, Rafael and Katsaggelos, Aggelos K.},
abstractNote = {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.},
doi = {10.1016/j.dsp.2015.04.012},
journal = {Digital Signal Processing},
number = C,
volume = 47,
place = {United States},
year = {Mon May 04 00:00:00 EDT 2015},
month = {Mon May 04 00:00:00 EDT 2015}
}

Journal Article:

Citation Metrics:
Cited by: 50 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

A Variational Approach for Bayesian Blind Image Deconvolution
journal, August 2004

  • Likas, A. C.; Galatsanos, N. P.
  • IEEE Transactions on Signal Processing, Vol. 52, Issue 8
  • DOI: 10.1109/TSP.2004.831119

Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation
journal, January 2006

  • Molina, Rafael; Mateos, Javier; Katsaggelos, Aggelos K.
  • IEEE Transactions on Image Processing, Vol. 15, Issue 12
  • DOI: 10.1109/TIP.2006.881972

Nonlinear total variation based noise removal algorithms
journal, November 1992


Variational Bayesian Blind Deconvolution Using a Total Variation Prior
journal, January 2009

  • Babacan, S. D.; Molina, R.; Katsaggelos, A. K.
  • IEEE Transactions on Image Processing, Vol. 18, Issue 1
  • DOI: 10.1109/TIP.2008.2007354

Sparse Bayesian blind image deconvolution with parameter estimation
journal, November 2012

  • Amizic, Bruno; Molina, Rafael; Katsaggelos, Aggelos K.
  • EURASIP Journal on Image and Video Processing, Vol. 2012, Issue 1
  • DOI: 10.1186/1687-5281-2012-20

Variational Bayesian Image Restoration Based on a Product of $t$-Distributions Image Prior
journal, October 2008

  • Chantas, G.; Galatsanos, N.; Likas, A.
  • IEEE Transactions on Image Processing, Vol. 17, Issue 10
  • DOI: 10.1109/TIP.2008.2002828

Variational Bayesian Image Restoration With a Product of Spatially Weighted Total Variation Image Priors
journal, February 2010

  • Chantas, Giannis; Galatsanos, Nikolaos P.; Molina, Rafael
  • IEEE Transactions on Image Processing, Vol. 19, Issue 2
  • DOI: 10.1109/TIP.2009.2033398

Bayesian deconvolution of Bernoulli-Gaussian processes
journal, July 1993


Robust Estimation of Motion Blur Kernel Using a Piecewise-Linear Model
journal, January 2014

  • Oh, Sungchan; Kim, Gyeonghwan
  • IEEE Transactions on Image Processing, Vol. 23, Issue 3, p. 1394-1407
  • DOI: 10.1109/TIP.2014.2303637

Blind Image Deblurring Using Spectral Properties of Convolution Operators
journal, December 2014

  • Liu, Guangcan; Chang, Shiyu; Ma, Yi
  • IEEE Transactions on Image Processing, Vol. 23, Issue 12
  • DOI: 10.1109/TIP.2014.2362055

Understanding Blind Deconvolution Algorithms
journal, December 2011

  • Levin, A.; Weiss, Y.; Durand, F.
  • IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33, Issue 12
  • DOI: 10.1109/TPAMI.2011.148

Enhancing Bayesian Estimators for Removing Camera Shake: Enhancing Bayesian Estimators
journal, March 2013

  • Wang, C.; Yue, Y.; Dong, F.
  • Computer Graphics Forum, Vol. 32, Issue 6
  • DOI: 10.1111/cgf.12074

Variational Bayesian Methods For Multimedia Problems
journal, June 2014

  • Chen, Zhaofu; Babacan, S. Derin; Molina, Rafael
  • IEEE Transactions on Multimedia, Vol. 16, Issue 4
  • DOI: 10.1109/TMM.2014.2307692

Markov chain Monte Carlo methods with applications to signal processing
journal, January 2001


A boundary condition based deconvolution framework for image deblurring
journal, May 2014

  • Zhou, Xu; Zhou, Fugen; Bai, Xiangzhi
  • Journal of Computational and Applied Mathematics, Vol. 261
  • DOI: 10.1016/j.cam.2013.10.028

Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
journal, November 1984

  • Geman, Stuart; Geman, Donald
  • IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-6, Issue 6
  • DOI: 10.1109/TPAMI.1984.4767596

Enhanced sampling schemes for MCMC based blind Bernoulli–Gaussian deconvolution
journal, April 2011


Blind Deconvolution of Sparse Pulse Sequences Under a Minimum Distance Constraint: A Partially Collapsed Gibbs Sampler Method
journal, June 2012

  • Kail, Georg; Tourneret, Jean-Yves; Hlawatsch, Franz
  • IEEE Transactions on Signal Processing, Vol. 60, Issue 6
  • DOI: 10.1109/TSP.2012.2190066

Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation
journal, March 2008

  • Babacan, S. D.; Molina, R.; Katsaggelos, A. K.
  • IEEE Transactions on Image Processing, Vol. 17, Issue 3
  • DOI: 10.1109/TIP.2007.916051

Fast Nonconvex Nonsmooth Minimization Methods for Image Restoration and Reconstruction
journal, December 2010

  • Nikolova, Mila; Ng, Michael K.; Tam, Chi-Pan
  • IEEE Transactions on Image Processing, Vol. 19, Issue 12, p. 3073-3088
  • DOI: 10.1109/TIP.2010.2052275

Nonconvex TV$^q$-Models in Image Restoration: Analysis and a Trust-Region Regularization--Based Superlinearly Convergent Solver
journal, January 2013

  • Hintermüller, Michael; Wu, Tao
  • SIAM Journal on Imaging Sciences, Vol. 6, Issue 3
  • DOI: 10.1137/110854746

Optimality Conditions and a Smoothing Trust Region Newton Method for NonLipschitz Optimization
journal, January 2013

  • Chen, Xiaojun; Niu, Lingfeng; Yuan, Yaxiang
  • SIAM Journal on Optimization, Vol. 23, Issue 3
  • DOI: 10.1137/120871390

Scene Text Deblurring Using Text-Specific Multiscale Dictionaries
journal, February 2015

  • Cao, Xiaochun; Ren, Wenqi; Zuo, Wangmeng
  • IEEE Transactions on Image Processing, Vol. 24, Issue 4, p. 1302-1314
  • DOI: 10.1109/TIP.2015.2400217

Efficient Patch-Wise Non-Uniform Deblurring for a Single Image
journal, October 2014


Richardson-Lucy Deblurring for Scenes under a Projective Motion Path
journal, August 2011

  • Yu-Wing Tai, ; Brown, M. S.
  • IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33, Issue 8
  • DOI: 10.1109/TPAMI.2010.222

Image deblurring using inertial measurement sensors
journal, July 2010

  • Joshi, Neel; Kang, Sing Bing; Zitnick, C. Lawrence
  • ACM Transactions on Graphics, Vol. 29, Issue 4
  • DOI: 10.1145/1778765.1778767

Correction of Spatially Varying Image and Video Motion Blur Using a Hybrid Camera
journal, May 2009

  • Tai, Yu-Wing; Du, Hao; Brown, Michael S.
  • IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, Issue 6, p. 1012-1028
  • DOI: 10.1109/TPAMI.2009.97

Blind nonuniform deblur under projection motion path
journal, July 2013


Non-uniform Deblurring for Shaken Images
journal, October 2011

  • Whyte, Oliver; Sivic, Josef; Zisserman, Andrew
  • International Journal of Computer Vision, Vol. 98, Issue 2
  • DOI: 10.1007/s11263-011-0502-7

Deblurring Shaken and Partially Saturated Images
journal, May 2014

  • Whyte, Oliver; Sivic, Josef; Zisserman, Andrew
  • International Journal of Computer Vision, Vol. 110, Issue 2
  • DOI: 10.1007/s11263-014-0727-3

Restoration of Poissonian Images Using Alternating Direction Optimization
journal, December 2010

  • Figueiredo, M. A. T.; Bioucas-Dias, J. M.
  • IEEE Transactions on Image Processing, Vol. 19, Issue 12
  • DOI: 10.1109/TIP.2010.2053941

Robust Multichannel Blind Deconvolution via Fast Alternating Minimization
journal, April 2012


Robust blind motion deblurring using near-infrared flash image
journal, November 2013

  • Li, Wen; Zhang, Jun; Dai, Qiong-hai
  • Journal of Visual Communication and Image Representation, Vol. 24, Issue 8
  • DOI: 10.1016/j.jvcir.2013.09.008

Bayesian Blind Deconvolution From Differently Exposed Image Pairs
journal, June 2010

  • Babacan, Sevket Derin; Wang, Jingnan; Molina, Rafael
  • IEEE Transactions on Image Processing, Vol. 19, Issue 11, p. 2874-2888
  • DOI: 10.1109/TIP.2010.2052263

Space-variant blur deconvolution and denoising in the dual exposure problem
journal, October 2013


Simultaneous recursive displacement estimation and restoration of noisy-blurred image sequences
journal, January 1995

  • Brailean, J. C.; Katsaggelos, A. K.
  • IEEE Transactions on Image Processing, Vol. 4, Issue 9
  • DOI: 10.1109/83.413168

Video-based non-uniform object motion blur estimation and deblurring
journal, June 2012


Blind motion deblurring using optical flow
journal, January 2015


Removing Atmospheric Turbulence via Space-Invariant Deconvolution
journal, January 2013

  • Zhu, Xiang; Milanfar, Peyman
  • IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, Issue 1
  • DOI: 10.1109/TPAMI.2012.82

Non-Uniform Deblurring in HDR Image Reconstruction
journal, October 2013

  • Vijay, Channarayapatna Shivaram; Paramanand, Chandramouli; Rajagopalan, Ambasamudram Narayanan
  • IEEE Transactions on Image Processing, Vol. 22, Issue 10
  • DOI: 10.1109/TIP.2013.2257809

Image deblurring in smartphone devices using built-in inertial measurement sensors
journal, January 2013


A multiple input image restoration approach
journal, September 1990


Multichannel blind deconvolution of spatially misaligned images
journal, July 2005


Works referencing / citing this record:

Fluorescence imaging reversion using spatially variant deconvolution
journal, December 2019


Video stabilization in atmosphere turbulent conditions based on the Laplacian-Riesz pyramid
journal, January 2016