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Open Access Green as soon as Postprint is submitted to ZB.
Multiscale total variation regularization in image restoration.
Proc. Appl. Math. Mech. 11, 851-854 (2011)
A total variation model for image restoration is introduced. The model utilizes a spatially dependent regularization parameter in order to enhance image regions containing details while still sufficiently smoothing homogeneous features. A local variance estimator is used to automatically adjust the regularization parameter. A generalized hierarchical decomposition of the restored image is integrated to the algorithm in order to speed-up the performance of the update scheme. The corresponding subproblems are solved by a superlinearly convergent algorithm based on Fenchel-duality and inexact semismooth Newton techniques. Numerical tests illustrate the performance of the algorithm.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
no keywords
e-ISSN
1617-7061
Quellenangaben
Volume: 11,
Issue: 1,
Pages: 851-854
Publisher
Wiley
Publishing Place
Weinheim
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Biomathematics and Biometry (IBB)