Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling

DOI10.1137/23m1552486zbMath1530.92112arXiv2301.05888OpenAlexW4389146134MaRDI QIDQ6144067

Unnamed Author, Fatima Antarou Ba, Unnamed Author, Christoph Kolbitsch, Kostas Papafitsoros, Andreas Kofler, Unnamed Author, Unnamed Author, Evangelos Papoutsellis

Publication date: 5 January 2024

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

Full work available at URL: https://arxiv.org/abs/2301.05888

zbMATH Keywords

total variationneural networksregularization parametersunrolling

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Linear operators and ill-posed problems, regularization (47A52)

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