Domain Decomposition Methods Using Dual Conversion for the Total Variation Minimization with L1 Fidelity Term
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Title
Domain Decomposition Methods Using Dual Conversion for the Total Variation Minimization with L1 Fidelity Term
Authors
Keywords
Domain decomposition, Total variation, Primal-dual algorithm, Dual conversion, Image processing, 65N55, 65Y05, 49M27, 68U10
Journal
JOURNAL OF SCIENTIFIC COMPUTING
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2018-07-26
DOI
10.1007/s10915-018-0791-x
References
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Related references
Note: Only part of the references are listed.- Primal Domain Decomposition Methods for the Total Variation Minimization, Based on Dual Decomposition
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- A convergent overlapping domain decomposition method for total variation minimization
- (2010) Massimo Fornasier et al. NUMERISCHE MATHEMATIK
- A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
- (2010) Ernie Esser et al. SIAM Journal on Imaging Sciences
- An Efficient Primal-Dual Method for $L^1$TV Image Restoration
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- Subspace Correction Methods for Total Variation and $\ell_1$-Minimization
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- An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise
- (2009) Junfeng Yang et al. SIAM JOURNAL ON SCIENTIFIC COMPUTING
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