A nonconvex penalization algorithm with automatic choice of the regularization parameter in sparse imaging

DOI10.1088/1361-6420/ab1c6bzbMath1428.94027OpenAlexW2941047389WikidataQ127984220 ScholiaQ127984220MaRDI QIDQ5228006

Fabiana Zama, Damiana Lazzaro, Elena Loli Piccolomini

Publication date: 8 August 2019

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11585/698194

zbMATH Keywords

nonconvex minimizationnonconvex regularizationiterative reweightingsparse imagingautomatic selection of regularization parameter

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (3)

Morozov's discrepancy principle for \(\alpha\ell_1-\beta\ell_2\) sparsity regularization ⋮ A projected gradient method for αℓ ₁ − βℓ ₂ sparsity regularization ^** ⋮ 2DNMR data inversion using locally adapted multi-penalty regularization

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