A total variation discontinuous Galerkin approach for image restoration
Data(s) |
2015
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Resumo |
The focal point of this paper is to propose and analyze a P 0 discontinuous Galerkin (DG) formulation for image denoising. The scheme is based on a total variation approach which has been applied successfully in previous papers on image processing. The main idea of the new scheme is to model the restoration process in terms of a discrete energy minimization problem and to derive a corresponding DG variational formulation. Furthermore, we will prove that the method exhibits a unique solution and that a natural maximum principle holds. In addition, a number of examples illustrate the effectiveness of the method. |
Formato |
application/pdf |
Identificador |
http://boris.unibe.ch/77216/1/2.pdf Stamm, Benjamin; Wihler, Thomas (2015). A total variation discontinuous Galerkin approach for image restoration. International Journal of Numerical Analysis and Modeling, 12(1), pp. 81-93. Edmonton: Institute for Scientific Computing and Information doi:10.7892/boris.77216 urn:issn:1705-5105 |
Idioma(s) |
eng |
Publicador |
Edmonton: Institute for Scientific Computing and Information |
Relação |
http://boris.unibe.ch/77216/ http://www.math.ualberta.ca/ijnam/Volume-12-2015/No-1-15/2015-01-04.pdf |
Direitos |
info:eu-repo/semantics/restrictedAccess |
Fonte |
Stamm, Benjamin; Wihler, Thomas (2015). A total variation discontinuous Galerkin approach for image restoration. International Journal of Numerical Analysis and Modeling, 12(1), pp. 81-93. Edmonton: Institute for Scientific Computing and Information |
Palavras-Chave | #510 Mathematics |
Tipo |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion PeerReviewed |