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» Total variation projection with first order schemes
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MOC
1998
136views more  MOC 1998»
13 years 7 months ago
Total variation diminishing Runge-Kutta schemes
In this paper we further explore a class of high order TVD (total variation diminishing) Runge-Kutta time discretization initialized in a paper by Shu and Osher, suitable for solvi...
Sigal Gottlieb, Chi-Wang Shu
SIAMIS
2008
279views more  SIAMIS 2008»
13 years 7 months ago
A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
We propose, analyze and test an alternating minimization algorithm for recovering images from blurry and noisy observations with total variation (TV) regularization. This algorith...
Yilun Wang, Junfeng Yang, Wotao Yin, Yin Zhang
ISBI
2004
IEEE
14 years 8 months ago
Speckle Reduction on Ultrasound Image by Variational Methods and Adaptive Lagrangian Multipliers
Ultrasound images are corrupted by a multiplicative noise, the speckle, which makes high level analysis difficult. Within each resolution cell a number of elementary scatterers re...
Arnaud Ogier, Pierre Hellier, Christian Barillot
IJCAI
2003
13 years 8 months ago
A Tractability Result for Reasoning with Incomplete First-Order Knowledge Bases
In previous work, Levesque proposed an extension to classical databases that would allow for a certain form of incomplete first-order knowledge. Since this extension was suffici...
Yongmei Liu, Hector J. Levesque
JMIV
2007
136views more  JMIV 2007»
13 years 7 months ago
Image Compression Through a Projection onto a Polyhedral Set
In image denoising, many researchers have tried for several years to combine wavelet-like approaches and optimization methods (typically based on the total variation minimization)...
François Malgouyres