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» Total Variation Processing of Images with Poisson Statistics
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ICIP
2009
IEEE
14 years 7 months ago
Total variation projection with first order schemes
This article proposes a new algorithm to compute the projection on the set of images whose total variation is bounded by a constant. The projection is computed through a dual form...
Mohamed-Jalal Fadili, Gabriel Peyré
124
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SIGPRO
2010
154views more  SIGPRO 2010»
14 years 8 months ago
UPRE method for total variation parameter selection
Total Variation (TV) regularization is a popular method for solving a wide variety of inverse problems in image processing. In order to optimize the reconstructed image, it is imp...
Youzuo Lin, Brendt Wohlberg, Hongbin Guo
TCAD
2008
115views more  TCAD 2008»
14 years 9 months ago
Statistical Thermal Profile Considering Process Variations: Analysis and Applications
The nonuniform substrate thermal profile and process variations are two major concerns in the present-day ultradeep submicrometer designs. To correctly predict performance/ leakage...
Javid Jaffari, Mohab Anis
VLSID
2007
IEEE
120views VLSI» more  VLSID 2007»
15 years 10 months ago
Statistical Leakage and Timing Optimization for Submicron Process Variation
Leakage power is becoming a dominant contributor to the total power consumption and dual-Vth assignment is an efficient technique to decrease leakage power, for which effective de...
Yuanlin Lu, Vishwani D. Agrawal

Source Code
1919views
15 years 10 months ago
tvreg: Variational Imaging Methods for Denoising, Deconvolution, Inpainting, and Segmentation
TV-based image restoration with options for deconvolution, inpainting, and different noise models. Chan-Vese segmentation also included. Usable from C, C++, or MATLAB.