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» Optimizing Parametric Total Variation Models
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ICCV
2009
IEEE
14 years 9 months ago
Optimizing Parametric Total Variation Models
One of the key factors for the success of recent energy minimization methods is that they seek to compute global solutions. Even for non-convex energy functionals, optimization ...
Petter Strandmark, Fredrik Kahl, Niels Chr. Overga...
PR
2010
184views more  PR 2010»
13 years 3 months ago
Total variation, adaptive total variation and nonconvex smoothly clipped absolute deviation penalty for denoising blocky images
The total variation-based image denoising model has been generalized and extended in numerous ways, improving its performance in different contexts. We propose a new penalty func...
Aditya Chopra, Heng Lian
ADCM
2010
270views more  ADCM 2010»
13 years 5 months ago
A fast algorithm for the total variation model of image denoising
The total variation model of Rudin, Osher, and Fatemi for image denoising is considered to be one of the best denoising models. In the past, its solutions were based on nonlinear ...
Rong-Qing Jia, Hanqing Zhao
GLVLSI
2005
IEEE
205views VLSI» more  GLVLSI 2005»
13 years 10 months ago
Optimization objectives and models of variation for statistical gate sizing
This paper approaches statistical optimization by examining gate delay variation models and optimization objectives. Most previous work on statistical optimization has focused exc...
Matthew R. Guthaus, Natesan Venkateswaran, Vladimi...
ISPD
2010
ACM
205views Hardware» more  ISPD 2010»
13 years 11 months ago
Total sensitivity based dfm optimization of standard library cells
Standard cells are fundamental circuit building blocks designed at very early design stages. Nanometer standard cells are prone to lithography proximity and process variations. Ho...
Yongchan Ban, Savithri Sundareswaran, David Z. Pan