Multi-depth Hologram Generation with Unsupervised-learning Based Computer-generated Holography

Xinghua Shui; Huadong Zheng; Huadong Zheng

doi:10.1364/DH.2022.W5A.12

Digital Holography and 3-D Imaging 2022
Technical Digest Series (Optica Publishing Group, 2022),
paper W5A.12
•https://doi.org/10.1364/DH.2022.W5A.12

Multi-depth Hologram Generation with Unsupervised-learning Based Computer-generated Holography

Xinghua Shui and Huadong Zheng

Digital Holography and Three-Dimensional Imaging 2022

Cambridge United Kingdom
1–4 August 2022
ISBN: 978-1-957171-12-8

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Joint Poster Session II: Virtual (W5A)

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X. Shui and H. Zheng, "Multi-depth Hologram Generation with Unsupervised-learning Based Computer-generated Holography," in Digital Holography and 3-D Imaging 2022, D. Chu, J. Park, C. Cheng, and P. Ferraro, eds., Technical Digest Series (Optica Publishing Group, 2022), paper W5A.12.

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Abstract

Unsupervised-learning based computer-generated holography provides an approach for 2D hologram generation. We propose an unsupervised learning network for multi-depth hologram generation with fully utilizing the different representations of multi-depth object.

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