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» Bayesian Restoration of Noisy Images with the EM Algorithm
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ICASSP
2008
IEEE
14 years 1 months ago
Generalized Gaussian Markov random field image restoration using variational distribution approximation
In this paper we propose novel algorithms for image restoration and parameter estimation with a Generalized Gaussian Markov Random Field prior utilizing variational distribution a...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
ICIP
2003
IEEE
14 years 9 months ago
A variational method for Bayesian blind image deconvolution
In this paper the blind image deconvolution (BID) problem is solved using the Bayesian framework. In order to find the parameters of the proposed Bayesian model we present a new g...
Aristidis Likas, Nikolas P. Galatsanos
PAMI
1998
103views more  PAMI 1998»
13 years 7 months ago
Synchronous Random Fields and Image Restoration
—We propose a general synchronous model of lattice random fields which could be used similarly to Gibbs distributions in a Bayesian framework for image analysis, leading to algor...
Laurent Younes
ICIP
2004
IEEE
14 years 9 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte
ICIP
2007
IEEE
14 years 9 months ago
Total Variation Image Restoration and Parameter Estimation using Variational Posterior Distribution Approximation
In this paper we propose novel algorithms for total variation (TV) based image restoration and parameter estimation utilizing variational distribution approximations. By following...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...