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• W2100108897 abstract "Total variation has proven to be a valuable concept in connection with the recovery of images featuring piecewise smooth components. So far, however, it has been used exclusively as an objective to be minimized under constraints. In this paper, we propose an alternative formulation in which total variation is used as a constraint in a general convex programming framework. This approach places no limitation on the incorporation of additional constraints in the restoration process and the resulting optimization problem can be solved efficiently via block-iterative methods. Image denoising and deconvolution applications are demonstrated." @default.
• W2100108897 created "2016-06-24" @default.
• W2100108897 creator A5062845079 @default.
• W2100108897 creator A5070449222 @default.
• W2100108897 date "2004-09-01" @default.
• W2100108897 modified "2023-10-17" @default.
• W2100108897 title "Image Restoration Subject to a Total Variation Constraint" @default.
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• W2100108897 doi "https://doi.org/10.1109/tip.2004.832922" @default.
• W2100108897 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/15449583" @default.
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