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Deep-Learning Computational Holography: A Review

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

2022Frontiers in Photonics85 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

HolographyDeep learningComputer scienceArtificial intelligenceDigital holographyOpticsPhysicsDigital Holography and MicroscopyAdvanced Optical Imaging TechnologiesAdvanced Vision and Imaging
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