Coupled regularization with multiple data discrepancies

DOI10.1088/1361-6420/aac539zbMath1439.65072arXiv1711.11512OpenAlexW3105315448WikidataQ91242020 ScholiaQ91242020MaRDI QIDQ4571022

Richard Huber, Martin Holler, Florian Knoll

Publication date: 6 July 2018

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

Full work available at URL: https://arxiv.org/abs/1711.11512

zbMATH Keywords

ill-posed problemsdynamic inverse problemsmulti-parameter regularizationKullback Leibler divergencecoupled regularizationmulti-modality/multi-spectral inverse problemsPET-MR imaging

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical solution to inverse problems in abstract spaces (65J22)

Related Items (7)

Learning-informed parameter identification in nonlinear time-dependent PDEs ⋮ Higher-order total variation approaches and generalisations ⋮ Variational regularisation for inverse problems with imperfect forward operators and general noise models ⋮ A convex variational model for learning convolutional image atoms from incomplete data ⋮ Preface to special issue on joint reconstruction and multi-modality/multi-spectral imaging ⋮ Review of Image Similarity Measures for Joint Image Reconstruction from Multiple Measurements ⋮ Analysis and automatic parameter selection of a variational model for mixed Gaussian and salt-and-pepper noise removal

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