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JSCIC
2010
231views more  JSCIC 2010»
13 years 2 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
TIT
2010
96views Education» more  TIT 2010»
13 years 2 months ago
New bounds for restricted isometry constants
Abstract--This paper discusses new bounds for restricted isometry constants in compressed sensing. Let 8be an n2p real matrix and k be a positive integer with k n. One of the main...
T. Tony Cai, Lie Wang, Guangwu Xu
TSP
2010
13 years 2 months ago
Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
CORR
2011
Springer
179views Education» more  CORR 2011»
12 years 11 months ago
The restricted isometry property for time-frequency structured random matrices
We establish the restricted isometry property for finite dimensional Gabor systems, that is, for families of time–frequency shifts of a randomly chosen window function. We show...
Götz E. Pfander, Holger Rauhut, Joel A. Tropp
ICASSP
2011
IEEE
12 years 11 months ago
Dual constrained TV-based regularization
Algorithms based on the minimization of the Total Variation are prevalent in computer vision. They are used in a variety of applications such as image denoising, compressive sensi...
Camille Couprie, Hugues Talbot, Jean-Christophe Pe...