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Deep learning-based holographic reconstruction in digital holography

  • Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We propose a one-to-two neural network framework for digital holographic reconstruction from a single-wavelength or dual-wavelength digital hologram and also propose a one to one neural network to achieve phase unwrapping.

Original languageEnglish
Title of host publicationDigital Holography and Three-Dimensional Imaging, DH 2020
PublisherOptica Publishing Group (formerly OSA)
ISBN (Electronic)9781943580774
DOIs
StatePublished - 22 Jun 2020
Event2020 Digital Holography and Three-Dimensional Imaging, DH 2020 - Part of Imaging and Applied Optics Congress - Washington, United States
Duration: 22 Jun 202026 Jun 2020

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Conference

Conference2020 Digital Holography and Three-Dimensional Imaging, DH 2020 - Part of Imaging and Applied Optics Congress
Country/TerritoryUnited States
CityWashington
Period22/06/2026/06/20

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