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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...
ICASSP
2010
IEEE
13 years 5 months ago
Fast total variation image restoration with parameter estimation using bayesian inference
In this paper we propose two fast Total Variation (TV) based algorithms for image restoration by utilizing variational posterior distribution approximation. The unknown image and ...
Bruno Amizic, S. Derin Babacan, K. Michael Ng, Raf...
ICIP
2002
IEEE
14 years 7 months ago
Satellite and aerial image deconvolution using an EM method with complex wavelets
In this paper, we present a new deconvolution method, able to deal with noninvertible blurring functions. To avoid noise amplification, a prior model of the image to be reconstruc...
André Jalobeanu, Josiane Zerubia, Má...
MICCAI
2007
Springer
14 years 6 months ago
A Bayesian 3D Volume Reconstruction for Confocal Micro-rotation Cell Imaging
Abstract. Recently, micro-rotation confocal microscopy has enabled the acquisition of a sequence of slices for a non-adherent living cells where the slices' positions are roug...
Alain Trouvé, Bernard Chalmond, Yong Yu
CVPR
2010
IEEE
13 years 10 months ago
Refinement of Digital Elevation Models from Shadowing Cues
In this paper we derive formal constraints relating terrain elevation and observed cast shadows. We show how an optimisation framework can be used to refine surface estimates usin...
James Hogan, William Smith