Speckle reconstruction with corruption through multimode fibers using deep learning

Pengfei Fan, Michael Ruddlesden, Yufei Wang, Lei Su*

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

We present for the first time a deep learning approach toward speckle reconstruction with corruption through a multimode fiber (MMF) with a long length. Our experiments demonstrate that a small partly or randomly corrupted speckle can be reconstructed into its intact speckle over a 1km 100μm-core step-index MMF.

Original languageEnglish
Title of host publicationCLEO
Subtitle of host publicationScience and Innovations, CLEO_SI 2020
PublisherOptica Publishing Group (formerly OSA)
ISBN (Print)9781943580767
DOIs
Publication statusPublished - 2020
Externally publishedYes
EventCLEO: Science and Innovations, CLEO_SI 2020 - Washington, United States
Duration: 10 May 202015 May 2020

Publication series

NameOptics InfoBase Conference Papers
VolumePart F183-CLEO-SI 2020
ISSN (Electronic)2162-2701

Conference

ConferenceCLEO: Science and Innovations, CLEO_SI 2020
Country/TerritoryUnited States
CityWashington
Period10/05/2015/05/20

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