Spectral Representations of One-Homogeneous Functionals

DOI10.1007/978-3-319-18461-6_2zbMath1444.94007arXiv1503.05293OpenAlexW2963341012MaRDI QIDQ3300282

Lina Eckardt, Martin Burger, Guy Gilboa, Michael Moeller

Publication date: 28 July 2020

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1503.05293

zbMATH Keywords

total variationconvex regularizationnonlinear eigenfunctionsnonlinear spectral decomposition

Mathematics Subject Classification ID

Applications of optimal control and differential games (49N90) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items

Inverse scale space iterations for non-convex variational problems using functional lifting, On the correspondence between replicator dynamics and assignment flows, Nonlinear spectral analysis via one-homogeneous functionals: overview and future prospects, Inverse scale space iterations for non-convex variational problems: the continuous and discrete case, Nonlinear eigenvalue problems for seminorms and applications, Inverse scale space decomposition, Semi-inner-products for convex functionals and their use in image decomposition, Nonlinear spectral decompositions by gradient flows of one-homogeneous functionals, Solution paths of variational regularization methods for inverse problems

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