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» A generalized vector-valued total variation algorithm
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ICIP
2009
IEEE
12 years 3 months ago
A generalized vector-valued total variation algorithm
We propose a simple but flexible method for solving the generalized vector-valued TV (VTV) functional, which includes both the 2 -VTV and 1 -VTV regularizations as special cases, ...
Paul Rodriguez, Brendt Wohlberg
SCALESPACE
2007
Springer
12 years 12 months ago
Faithful Recovery of Vector Valued Functions from Incomplete Data
On March 11, 1944, the famous Eremitani Church in Padua (Italy) was destroyed in an Allied bombing along with the inestimable frescoes by Andrea Mantegna et al. contained in the Ov...
Massimo Fornasier
PR
2010
184views more  PR 2010»
12 years 4 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 diļ¬€erent contexts. We propose a new penalty func...
Aditya Chopra, Heng Lian
TIP
2002
154views more  TIP 2002»
12 years 5 months ago
Minimizing the total variation under a general convex constraint for image restoration
In this paper, we present a general framework for image restoration; despite its simplicity, certain variational and certain wavelet approaches can be formulated within this framew...
François Malgouyres
SIAMIS
2010
283views more  SIAMIS 2010»
12 years 16 days 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
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