Image Reconstruction with Imperfect Forward Models and Applications in Deblurring

DOI10.1137/17M1141965zbMath1401.94018arXiv1708.01244OpenAlexW3104772903MaRDI QIDQ4686914

Jan Lellmann, Yury Korolev

Publication date: 10 October 2018

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

Full work available at URL: https://arxiv.org/abs/1708.01244

zbMATH Keywords

inverse problemsdeconvolutionblind deconvolutionuncertainty quantificationdeblurringresidual methodblind deblurringimperfect forward models

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20) Inverse problems in optimal control (49N45) Problems with incomplete information (optimization) (49N30)

Related Items (5)

Sequential Model Correction for Nonlinear Inverse Problems ⋮ Inverse problems with inexact forward operator: iterative regularization and application in dynamic imaging ⋮ A note on the minimization of a Tikhonov functional with ℓ¹-penalty ⋮ Computed tomography reconstruction with uncertain view angles by iteratively updated model discrepancy ⋮ On Learned Operator Correction in Inverse Problems

Uses Software

• CVX

Cites Work

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