On the use of deep learning for computational imaging
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© 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.
Date issued
2020Department
Massachusetts Institute of Technology. Department of Mechanical Engineering; Singapore-MIT Alliance in Research and Technology (SMART)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