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PhaseNet: a deep learning based phase reconstruction method for ground-based astronomy - MaRDI portal

PhaseNet: a deep learning based phase reconstruction method for ground-based astronomy

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Publication:6587655

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DOI10.1137/23m1592377zbMath1545.85002MaRDI QIDQ6587655

Dihan Zheng, Chenglong Bao, Roland Wagner, Shiqi Tang, Ronny Ramlau, Raymond Honfu Chan

Publication date: 14 August 2024

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

zbMATH Keywords

machine learning image deconvolution astronomical imaging deep unrolling method

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Computing methodologies for image processing (68U10) Computational methods for problems pertaining to astronomy and astrophysics (85-08)

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