On the use of deep learning for computational imaging

George Barbastathis

doi:10.1117/12.2571322

2 September 2020 On the use of deep learning for computational imaging

George Barbastathis

Proceedings Volume 11463, Optical Trapping and Optical Micromanipulation XVII; 114631L (2020) https://doi.org/10.1117/12.2571322
Event: SPIE Nanoscience + Engineering, 2020, Online Only

Abstract

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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George Barbastathis "On the use of deep learning for computational imaging", Proc. SPIE 11463, Optical Trapping and Optical Micromanipulation XVII, 114631L (2 September 2020); https://doi.org/10.1117/12.2571322

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