DLCNN: A High-Resolution Computer-Generated Hologram Technology Based on Deep Learning

X. F. Xu; X. W. Wang; T. Y. Ma

doi:10.1364/FIO.2021.JW7A.4

Frontiers in Optics + Laser Science 2021
Technical Digest Series (Optica Publishing Group, 2021),
paper JW7A.4
•https://doi.org/10.1364/FIO.2021.JW7A.4

DLCNN: A High-Resolution Computer-Generated Hologram Technology Based on Deep Learning

X. F. Xu, X. W. Wang, and T. Y. Ma

Laser Science 2021

Washington, DC United States
1–4 November 2021
ISBN: 978-1-55752-308-2

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Joint Poster Session II (JW7A)

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X. F. Xu, X. W. Wang, and T. Y. Ma, "DLCNN: A High-Resolution Computer-Generated Hologram Technology Based on Deep Learning," in Frontiers in Optics + Laser Science 2021, C. Mazzali, T. (T.-C.) Poon, R. Averitt, and R. Kaindl, eds., Technical Digest Series (Optica Publishing Group, 2021), paper JW7A.4.

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Abstract

We proposed a new network structure DLCNN for optical image reconstruction. And applying this structure to the computationally generated holographic problem. This method can obtain higher quality image reconstruction accuracy.

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