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ICASSP
2011
IEEE
14 years 2 months ago
Lorentzian based iterative hard thresholding for compressed sensing
In this paper we propose a robust iterative hard thresolding (IHT) algorithm for reconstructing sparse signals in the presence of impulsive noise. To address this problem, we use ...
Rafael E. Carrillo, Kenneth E. Barner
JSCIC
2010
231views more  JSCIC 2010»
14 years 6 months ago
Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction
Variational models for image segmentation have many applications, but can be slow to compute. Recently, globally convex segmentation models have been introduced which are very rel...
Tom Goldstein, Xavier Bresson, Stanley Osher
ICIP
2008
IEEE
16 years 27 days ago
Compressive image fusion
Compressive sensing (CS) has received a lot of interest due to its compression capability and lack of complexity on the sensor side. In this paper, we present a study of three sam...
Tao Wan, Cedric Nishan Canagarajah, Alin Achim
ICIP
2006
IEEE
16 years 25 days ago
An Architecture for Compressive Imaging
Compressive Sensing is an emerging field based on the revelation that a small group of non-adaptive linear projections of a compressible signal contains enough information for rec...
Michael B. Wakin, Jason N. Laska, Marco F. Duarte,...
ICASSP
2011
IEEE
14 years 2 months ago
Analysis of unknown velocity and target off the grid problems in compressive sensing based subsurface imaging
Sparsity of target space in subsurface imaging problem is used within the framework of the compressive sensing (CS) theory in recent publications to decrease the data acquisition ...
Mehmet Ali Çagri Tuncer, Ali Cafer Gurbuz