Regularization with Sparse Vector Fields: From Image Compression to TV-type Reconstruction

DOI10.1007/978-3-319-18461-6_16zbMath1444.94006arXiv1503.02044OpenAlexW1856345736MaRDI QIDQ3300299

Eva-Maria Brinkmann, Joana Sarah Grah, Martin Burger

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/1503.02044

zbMATH Keywords

total variationimage compressiondenoisingreconstructionsparsitydiffusion inpainting

Mathematics Subject Classification ID

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

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Inverse scale space decomposition ⋮ Summability estimates on transport densities with Dirichlet regions on the boundaryviasymmetrization techniques ⋮ Unified models for second-order TV-type regularisation in imaging: a new perspective based on vector operators

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