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112
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TIP
2010
128views more  TIP 2010»
14 years 11 months ago
Variational Bayesian Image Restoration With a Product of Spatially Weighted Total Variation Image Priors
—In this paper a new image prior is introduced and used in image restoration. This prior is based on products of spatially weighted Total Variations (TV). These spatial weights p...
Giannis K. Chantas, Nikolas P. Galatsanos, Rafael ...
115
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Bayesian Compressive Sensing for clustered sparse signals
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. ...
Lei Yu, Hong Sun, Jean-Pierre Barbot, Gang Zheng
118
Voted
DAC
2010
ACM
15 years 26 days ago
Toward efficient large-scale performance modeling of integrated circuits via multi-mode/multi-corner sparse regression
In this paper, we propose a novel multi-mode/multi-corner sparse regression (MSR) algorithm to build large-scale performance models of integrated circuits at multiple working mode...
Wangyang Zhang, Tsung-Hao Chen, Ming Yuan Ting, Xi...
117
Voted
FGR
2008
IEEE
304views Biometrics» more  FGR 2008»
15 years 7 months ago
Recovering 3D facial shape via coupled 2D/3D space learning
This paper presents a method for recovering 3D facial shape from single image via learning the relationship between the 2D intensity images and the 3D facial shapes. With a couple...
Annan Li, Shiguang Shan, Xilin Chen, Xiujuan Chai,...
111
Voted
PRL
2006
115views more  PRL 2006»
15 years 18 days ago
A hybrid parallel projection approach to object-based image restoration
Approaches analyzing local characteristics of an image prevail in image restoration. However, they are less effective in cases of restoring images degraded by large size point spr...
Xin Fan, Hua Huang, Dequn Liang, Chun Qi