AUTHOR=Shimobaba Tomoyoshi , Blinder David , Birnbaum Tobias , Hoshi Ikuo , Shiomi Harutaka , Schelkens Peter , Ito Tomoyoshi 

TITLE=Deep-Learning Computational Holography: A Review

JOURNAL=Frontiers in Photonics

VOLUME=3

YEAR=2022

URL=https://www.frontiersin.org/journals/photonics/articles/10.3389/fphot.2022.854391

DOI=10.3389/fphot.2022.854391

ISSN=2673-6853

ABSTRACT=<p>Deep learning has been developing rapidly, and many holographic applications have been investigated using deep learning. They have shown that deep learning can outperform previous physically-based calculations using lightwave simulation and signal processing. This review focuses on computational holography, including computer-generated holograms, holographic displays, and digital holography, using deep learning. We also discuss our personal views on the promise, limitations and future potential of deep learning in computational holography.</p>