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» A variational method for Bayesian blind image deconvolution
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ICIP
2005
IEEE
14 years 1 months ago
A regularization framework for joint blur estimation and super-resolution of video sequences
In traditional digital image restoration, the blurring process of the optic is assumed known. Many previous research efforts have been trying to reconstruct the degraded image or ...
Hu He, Lisimachos P. Kondi
VISAPP
2007
13 years 8 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
IBPRIA
2007
Springer
14 years 1 months ago
Variational Deconvolution of Multi-channel Images with Inequality Constraints
Abstract. A constrained variational deconvolution approach for multichannel images is presented. Constraints are enforced through a reparametrisation which allows a differential g...
Martin Welk, James G. Nagy
ICIP
1997
IEEE
14 years 9 months ago
Two-Dimensional Blind Deconvolution Using a Robust GCD Approach
In this paper we examine the applicability of the previously proposed Greatest Common Divisor (GCD) method to blind image deconvolution. In this method, the desired image is appro...
S. U. Pillai, B. Liang
ICA
2004
Springer
14 years 25 days ago
Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method
The variational Bayesian nonlinear blind source separation method introduced by Lappalainen and Honkela in 2000 is initialised with linear principal component analysis (PCA). Becau...
Antti Honkela, Stefan Harmeling, Leo Lundqvist, Ha...