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SIAMSC
2008
165views more  SIAMSC 2008»
15 years 3 months ago
Iterated Hard Shrinkage for Minimization Problems with Sparsity Constraints
Abstract. A new iterative algorithm for the solution of minimization problems in infinitedimensional Hilbert spaces which involve sparsity constraints in form of p-penalties is pro...
Kristian Bredies, Dirk A. Lorenz
131
Voted
SIAMIS
2010
155views more  SIAMIS 2010»
14 years 10 months ago
Smoothing Nonlinear Conjugate Gradient Method for Image Restoration Using Nonsmooth Nonconvex Minimization
Image restoration problems are often converted into large-scale, nonsmooth and nonconvex optimization problems. Most existing minimization methods are not efficient for solving su...
Xiaojun Chen, Weijun Zhou
ISM
2006
IEEE
277views Multimedia» more  ISM 2006»
15 years 3 months ago
Efficient Bottom-Up Image Segmentation Using Region Competition and the Mumford-Shah Model for Color and Textured Images
Curve evolution implementations [3][23] [25] of the Mumford-Shah functional [16] are of broad interest in image segmentation. These implementations, however, have initialization p...
Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djou...
CCECE
2009
IEEE
15 years 10 months ago
Estimation of boundary properties using stochastic differential equations
The inverse diffusion problems deal with the estimation of many crucial parameters such as the diffusion coefficient, source properties, and boundary conditions. Such algorithms ...
Ashraf Atalla, Aleksandar Jeremic
140
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Saturation-robust SAR image formation
The formation of synthetic aperture radar (SAR) images is formulated as an inverse problem, a flexible approach suitable for a variety of acquisition systems and signal models. T...
Dennis Wei, Petros Boufounos