A unifying approach to isotropic and anisotropic total variation denoising models

DOI10.1016/j.cam.2010.11.003zbMath1207.94005OpenAlexW2006642084MaRDI QIDQ629518

Harald Birkholz

Publication date: 9 March 2011

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2010.11.003

zbMATH Keywords

total variationnonlinear optimisationfeature-preserving denoising

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (5)

Majorization-minimization generalized Krylov subspace methods for \({\ell _p}\)-\({\ell _q}\) optimization applied to image restoration ⋮ Efficient algorithm for isotropic and anisotropic total variation deblurring and denoising ⋮ Nonlocal regularized CNN for image segmentation ⋮ Partition into almost straight trails ⋮ A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford--Shah Color and Multiphase Image Segmentation

Cites Work

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• Nonlinear total variation based noise removal algorithms
• A note on the dual treatment of higher-order regularization functionals
• Restoration of images with rotated shapes
• An algorithm for total variation minimization and applications
• Anisotropic Smoothing Using Double Orientations
• Decomposition of images by the anisotropic Rudin-Osher-Fatemi model

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