On the use of deep learning for computational imaging

Barbastathis, George

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On the use of deep learning for computational imaging

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Author(s)

Barbastathis, George

Date Issued

2020

Journal

Proceedings of SPIE - The International Society for Optical Engineering

Publisher

SPIE-Intl Soc Optical Eng

Citation

Barbastathis, George. 2020. "On the use of deep learning for computational imaging." Proceedings of SPIE - The International Society for Optical Engineering, 11463.

Version

Final published version

Abstract

© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only. Deep learning has emerged as a class of optimization algorithms proven to be effective for a variety of inference and decision tasks. Similar algorithms, with appropriate modifications, have also been widely adopted for computational imaging. Here, we review the basic tenets of deep learning and computational imaging, and overview recent progress in two applications: super resolution and phase retrieval.

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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.

Persistent DSpace Link

https://hdl.handle.net/1721.1/138459

DOI of Published Version

10.1117/12.2571322