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» Total Variation Minimization with Separable Sensing Operator
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CAV
2006
Springer
91views Hardware» more  CAV 2006»
13 years 11 months ago
Lookahead Widening
We present lookahead widening, a novel technique for using existing widening and narrowing operators to improve the precision of static analysis. This technique is both self-contai...
Denis Gopan, Thomas W. Reps
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...
SIAMIS
2010
283views more  SIAMIS 2010»
13 years 2 months ago
A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
We generalize the primal-dual hybrid gradient (PDHG) algorithm proposed by Zhu and Chan in [M. Zhu, and T. F. Chan, An Efficient Primal-Dual Hybrid Gradient Algorithm for Total Var...
Ernie Esser, Xiaoqun Zhang, Tony F. Chan
ISVLSI
2007
IEEE
161views VLSI» more  ISVLSI 2007»
14 years 1 months ago
CMP-aware Maze Routing Algorithm for Yield Enhancement
— Chemical-Mechanical Polishing (CMP) is one of the key steps during nanometer VLSI manufacturing process where minimum variation of layout pattern densities is desired. This pap...
Hailong Yao, Yici Cai, Xianlong Hong
SIAMSC
2010
194views more  SIAMSC 2010»
13 years 6 months ago
A Multilevel Algorithm for Simultaneously Denoising and Deblurring Images
In this paper, we develop a fast multilevel algorithm for simultaneously denoising and deblurring images under the total variation regularization. Although much effort has been de...
Raymond H. Chan, Ke Chen 0002