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» Total Variation Based Oversampling of Noisy Images
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TIP
2008
139views more  TIP 2008»
13 years 7 months ago
Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation
In this paper, we propose novel algorithms for total variation (TV) based image restoration and parameter estimation utilizing variational distribution approximations. Within the h...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
ICASSP
2011
IEEE
12 years 11 months ago
Variational Bayesian Kalman filtering in dynamical tomography
The problem of dynamical tomography consists in reconstructing a temporal sequence of images from their noisy projections. For this purpose, a recursive algorithm is usually used,...
Boujemaa Ait-El-Fquih, Thomas Rodet
TIP
1998
162views more  TIP 1998»
13 years 7 months ago
Variational image segmentation using boundary functions
Abstract—A general variational framework for image approximation and segmentation is introduced. By using a continuous “line-process” to represent edge boundaries, it is poss...
Gary A. Hewer, Charles S. Kenney, B. S. Manjunath
ECCV
2004
Springer
14 years 9 months ago
A l1-Unified Variational Framework for Image Restoration
Among image restoration literature, there are mainly two kinds of approach. One is based on a process over image wavelet coefficients, as wavelet shrinkage for denoising. The other...
Julien Bect, Laure Blanc-Féraud, Gilles Aub...
JMIV
2007
136views more  JMIV 2007»
13 years 7 months ago
Image Compression Through a Projection onto a Polyhedral Set
In image denoising, many researchers have tried for several years to combine wavelet-like approaches and optimization methods (typically based on the total variation minimization)...
François Malgouyres