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» A variational method for Bayesian blind image deconvolution
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ICCV
2011
IEEE
12 years 11 months ago
A Theory of Coprime Blurred Pairs
We present a new Coprime Blurred Pair (CBP) theory that may benefit a number of computer vision applications. A CBP is constructed by blurring the same latent image with two unkn...
Feng Li, Zijia Li, David Saunders, Jingyi Yu
ICIP
2007
IEEE
14 years 5 months ago
Image Restoration using Geometrically Stabilized Reverse Heat Equation
Blind restoration of blurred images is a classical ill-posed problem. There has been considerable interest in the use of partial differential equations to solve this problem. The ...
Vinay P. Namboodiri, Subhasis Chaudhuri
ICIP
2005
IEEE
15 years 17 days ago
An adaptive segmentation-based regularization term for image restoration
This paper proposes an original inhomogeneous restoration (deconvolution) model under the Bayesian framework. In this model, regularization is achieved, during the iterative resto...
Max Mignotte
TIP
2011
231views more  TIP 2011»
13 years 5 months ago
Variational Bayesian Super Resolution
—In this paper, we address the super resolution (SR) problemfromasetofdegradedlowresolution(LR)imagestoobtain a high resolution (HR) image. Accurate estimation of the sub-pixel m...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
PR
2002
108views more  PR 2002»
13 years 10 months ago
Hyperparameter estimation for satellite image restoration using a MCMC maximum-likelihood method
The satellite image deconvolution problem is ill-posed and must be regularized. Herein, we use an edge-preserving regularization model using a ' function, involving two hyper...
André Jalobeanu, Laure Blanc-Féraud,...