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SIAMIS
2010
127views more  SIAMIS 2010»
13 years 3 months ago
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction
We propose two algorithms based on Bregman iteration and operator splitting technique for nonlocal TV regularization problems. The convergence of the algorithms is analyzed and ap...
Xiaoqun Zhang, Martin Burger, Xavier Bresson, Stan...
JSCIC
2010
89views more  JSCIC 2010»
12 years 11 months ago
Image Recovery via Nonlocal Operators
Abstract This paper considers two nonlocal regularizations for image recovery, which exploit the spatial interactions in images. We get superior results using preprocessed data as ...
Yifei Lou, Xiaoqun Zhang, Stanley Osher, Andrea L....
MMAS
2010
Springer
12 years 11 months ago
A Nonlinear PDE-Based Method for Sparse Deconvolution
In this paper, we introduce a new nonlinear evolution partial differential equation for sparse deconvolution problems. The proposed PDE has the form of continuity equation that ar...
Yu Mao, Bin Dong, Stanley Osher
ICPR
2006
IEEE
14 years 5 months ago
Adaptive variational sinogram interpolation of sparsely sampled CT data
We present various kinds of variational PDE based methods to interpolate missing sinogram data for tomographic image reconstruction. Using the observed sinogram data we inpaint th...
Harald Köstler, Marcus Prümmer, Ulrich R...
ICASSP
2011
IEEE
12 years 8 months ago
Computationally efficient regularized acoustic imaging
Sparse recovery techniques have been shown to produce very accurate acoustic images, significantly outperforming traditional deconvolution approaches. However, so far these propo...
Flavio P. Ribeiro, Vitor H. Nascimento