3D Holographic Imaging Using Diffractive Deep Neural Networks with Wavelength Division Multiplexing

Ahstract-A 3D holographic imaging method is proposed using diffractive deep neural networks based on wavelength division multiplexing. The method can adapt to phase modulation differences at different wavelengths to achieve wavelength multiplexed 3D imaging.

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Publication Details

Published
2024-11-02
DOI
https://doi.org/10.1109/acp/ipoc63121.2024.10809872
Primary Topic
Advanced Optical Imaging Technologies
Type
article
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article

3D Holographic Imaging Using Diffractive Deep Neural Networks with Wavelength Division Multiplexing

Junhe Zhou, Haoqian Pu, He Zhou, Hao Xie
Advanced Optical Imaging Technologies
article

3D Holographic Imaging Using Diffractive Deep Neural Networks with Wavelength Division Multiplexing

Junhe Zhou, Haoqian Pu, He Zhou, Hao Xie
article en

Abstract

Ahstract-A 3D holographic imaging method is proposed using diffractive deep neural networks based on wavelength division multiplexing. The method can adapt to phase modulation differences at different wavelengths to achieve wavelength multiplexed 3D imaging.

Tongji University (CN)
Openalex Percentile: Top 63%
Advanced Optical Imaging Technologies
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3D Holographic Imaging Using Diffractive Deep Neural Networks with Wavelength Division Multiplexing — Junhe Zhou, Haoqian Pu, et al. · (2024) | TGRS Research Map | TGRS