Variational regularisation for inverse problems with imperfect forward operators and general noise models-Reference-Cited by-同舟云学术

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Variational regularisation for inverse problems with imperfect forward operators and general noise models

Published:2020-12-01 Issue:12 Volume:36 Page:125014
ISSN:0266-5611
Container-title:Inverse Problems
language:
Short-container-title:Inverse Problems

Author:

Bungert Leon^ORCID,Burger Martin^ORCID,Korolev Yury^ORCID,Schönlieb Carola-Bibiane

Funder

Cantab Capital Institute for the Mathematics of Information

Bundesministerium für Bildung und Forschung

H2020 Marie Skłodowska-Curie Actions

Engineering and Physical Sciences Research Council

Leverhulme Trust

Wellcome Trust

National Physical Laboratory

Royal Society

Alan Turing Institute

Publisher

IOP Publishing

Subject

Applied Mathematics,Computer Science Applications,Mathematical Physics,Signal Processing,Theoretical Computer Science

Link

https://iopscience.iop.org/article/10.1088/1361-6420/abc531/pdf

Reference52 articles.

1. A Variational Approach to Reconstructing Images Corrupted by Poisson Noise

2. Inverse problems with Poisson data: statistical regularization theory, applications and algorithms

3. Convergence rates for Tikhonov regularisation of non-linear ill-posed problems

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