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» Progressive Blind Deconvolution
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VISAPP
2007
13 years 9 months ago
Image deconvolution using a stochastic differential equation approach
We consider the problem of image deconvolution. We foccus on a Bayesian approach which consists of maximizing an energy obtained by a Markov Random Field modeling. MRFs are classi...
Xavier Descombes, M. Lebellego, Elena Zhizhina
ICIP
2006
IEEE
14 years 10 months ago
Image Tampering Identification using Blind Deconvolution
Digital images have been used in growing number of applications from law enforcement and surveillance, to medical diagnosis and consumer photography. With such widespread populari...
Ashwin Swaminathan, Min Wu, K. J. Ray Liu
ICIP
2003
IEEE
14 years 10 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
SIGPRO
2008
201views more  SIGPRO 2008»
13 years 8 months ago
Multichannel blind seismic deconvolution using dynamic programming
In this paper, we present an algorithm for multichannel blind deconvolution of seismic signals, which exploits lateral continuity of earth layers by dynamic programming approach. ...
Alon Heimer, Israel Cohen
ICIP
2005
IEEE
14 years 10 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...