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» A variational method for Bayesian blind image deconvolution
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ICIP
2005
IEEE
14 years 7 months ago
Approximations of posterior distributions in blind deconvolution using variational methods
In this paper the blind deconvolution problem is formulated using the variational framework. With its use approximations of the involved probability distributions are developed re...
Javier Mateos, Rafael Molina, Aggelos K. Katsaggel...
ICIP
2009
IEEE
14 years 6 months ago
Bayesian Blind Deconvolution From Differently Exposed Image Pairs
Photographs acquired under low-light conditions require long exposure times and therefore exhibit significant blurring due to the shaking of the camera. Using shorter exposure tim...
CVPR
2011
IEEE
13 years 14 days ago
Blind Deconvolution Using A Normalized Sparsity Measure
Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a major drawback in th...
Dilip Krishnan, Rob Fergus
ICIP
2007
IEEE
14 years 7 months ago
Nonstationary Blind Image Restoration using Variational Methods
The Variational Bayesian approach has recently been proposed to tackle the blind image restoration (BIR) problem. We consider extending the procedures to include realistic boundar...
Tom E. Bishop, Rafael Molina, James R. Hopgood
ICPR
2000
IEEE
13 years 9 months ago
Multichannel Blind Deconvolution of the Short-Exposure Astronomical Images
In this paper we present a new multichannel blind deconvolution method based on so-called subspace technique that was originally proposed by Harikumar and Bresler. When at least t...
Filip Sroubek, Jan Flusser, Tomás Suk, Stan...