Generating Multi‐Depth 3D Holograms Using a Fully Convolutional Neural Network

Generating Multi‐Depth 3D Holograms Using a Fully Convolutional Neural Network

Abstract Efficiently generating 3D holograms is one of the most challenging research topics in the field of holography. This work introduces a method for generating multi‐depth phase‐only holograms using a fully convolutional neural network (FCN). The method primarily involves a forward–backward‐dif...

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Bibliographic Details
Main Authors: Xingpeng Yan, Xinlei Liu, Jiaqi Li, Yanan Zhang, Hebin Chang, Tao Jing, Hairong Hu, Qiang Qu, Xi Wang, Xiaoyu Jiang
Format: Article
Language:English
Published: Wiley 2024-07-01
Series:Advanced Science
Subjects:
computer‐generated hologram
fully convolutional neural network
multi‐depth hologram
Online Access:https://doi.org/10.1002/advs.202308886

Internet

https://doi.org/10.1002/advs.202308886

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