79 search results - page 2 / 16 » Non-local Regularization of Inverse Problems |
126
Voted
ICIP
2008
IEEE
15 years 10 months ago
2008
IEEE
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...
119
Voted
MOC
2010
14 years 10 months ago
2010
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...
174
Voted
VISAPP
2010
15 years 1 months ago
2010
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...
134
Voted
ICIP
2007
IEEE
16 years 5 months ago
2007
IEEE
Iterative shrinkage/thresholding (IST) algorithms have been recently proposed to handle high-dimensional convex optimization problems arising in image inverse problems (namely dec...
150
Voted
ISBI
2007
IEEE
15 years 10 months ago
2007
IEEE
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...