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» Non-local Regularization of Inverse Problems
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ICASSP
2010
IEEE
13 years 5 months ago
Psychoacoustically motivated, frequency dependent Tikhonov regularization for soundfield parametrization
Noise is inevitably introduced during model based parametrization of acoustic fields, acquired using microphone arrays. This is due to the finite number of microphones used, the f...
Deep Sen, Shuai Wang, Andy Deffrasnes
MICCAI
2008
Springer
14 years 9 months ago
A Distributed Spatio-temporal EEG/MEG Inverse Solver
We propose a novel 1 2-norm inverse solver for estimating the sources of EEG/MEG signals. Based on the standard 1-norm inverse solver, the proposed sparse distributed inverse solve...
Wanmei Ou, Polina Golland, Matti Hämäl&a...
TIP
2010
162views more  TIP 2010»
13 years 2 months ago
Super-Resolution With Sparse Mixing Estimators
We introduce a class of inverse problem estimators computed by mixing adaptively a family of linear estimators corresponding to different priors. Sparse mixing weights are calcula...
Stéphane Mallat, Guoshen Yu
ECCV
2002
Springer
14 years 9 months ago
Adaptive Rest Condition Potentials: Second Order Edge-Preserving Regularization
Abstract. The propose of this paper is to introduce a new regularization formulation for inverse problems in computer vision and image processing that allows one to reconstruct sec...
José L. Marroquín, Mariano Rivera
ICIP
2003
IEEE
14 years 1 months ago
Perceptual regularization functionals for natural image restoration
Regularization constraints are necessary in inverse problems such as image restoration, optical flow computation or shape from shading to avoid the singularities in the solution....
Juan Gutierrez, Jesus Malo, Francesc J. Ferri