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» Non-local Regularization of Inverse Problems
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ICIP
2008
IEEE
13 years 11 months ago
An iterative algorithm for linear inverse problems with compound regularizers
In several imaging inverse problems, it may be of interest to encourage the solution to have characteristics which are most naturally expressed by the combination of more than one...
José M. Bioucas-Dias, Mário A. T. Fi...
MOC
2010
12 years 11 months ago
On a class of frozen regularized Gauss-Newton methods for nonlinear inverse problems
In this paper we consider a class of regularized Gauss-Newton methods for solving nonlinear inverse problems for which an a posteriori stopping rule is proposed to terminate the it...
Qinian Jin
VISAPP
2010
13 years 2 months ago
Inverse Problems in Imaging and Computer Vision - From Regularization Theory to Bayesian Inference
phies are also mentioned and a common mathematical abstraction for all these inverses problems will be presented. By focusing on a simple linear forward model, first a synthetic an...
Ali Mohammad-Djafari
ICIP
2007
IEEE
14 years 6 months ago
Two-Step Algorithms for Linear Inverse Problems with Non-Quadratic Regularization
Iterative shrinkage/thresholding (IST) algorithms have been recently proposed to handle high-dimensional convex optimization problems arising in image inverse problems (namely dec...
José M. Bioucas-Dias, Mário A. T. Fi...
ISBI
2007
IEEE
13 years 11 months ago
Space-Time Sparsity Regularization for the Magnetoencephalography Inverse Problem
The concept of “Space-Time Sparsity” (STS) penalization is introduced for solving the magnetoencephalography (MEG) inverse problem. The STS approach assumes that events of int...
Andrew K. Bolstad, Barry D. Van Veen, Robert D. No...