Collaborative Total Variation: A General Framework for Vectorial TV Models

DOI10.1137/15M102873XzbMath1381.94016arXiv1508.01308OpenAlexW1960698473MaRDI QIDQ2797774

Catalina Sbert, Joan Duran, Michael Moeller, Daniel Cremers

Publication date: 31 March 2016

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1508.01308

zbMATH Keywords

convex optimizationinverse problemsdualityvectorial total variationproximal operatorscolor image restorationcollaborative norms

Mathematics Subject Classification ID

Ill-posedness and regularization problems in numerical linear algebra (65F22) Convex programming (90C25) Numerical optimization and variational techniques (65K10) Computing methodologies for image processing (68U10) Optimality conditions and duality in mathematical programming (90C46) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

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