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Data class-specific imaging using diffractive computing

  • Bijie Bai
  • , Yi Luo
  • , Tianyi Gan
  • , Jingtian Hu
  • , Yuhang Li
  • , Yifan Zhao
  • , Deniz Mengu
  • , Mona Jarrahi
  • , Aydogan Ozcan*
  • *Corresponding author for this work
  • University of California at Los Angeles
  • California NanoSystems Institute

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

Abstract

We present a privacy-preserving camera design that performs class-specific imaging of input objects only from the desired data class(es) while all-optically and instantaneously erasing the objects from the other data classes.

Original languageEnglish
Title of host publicationCLEO
Subtitle of host publicationScience and Innovations, CLEO:S and I 2023
PublisherOptical Society of America
ISBN (Electronic)9781957171258
DOIs
StatePublished - 2023
Externally publishedYes
EventCLEO: Science and Innovations, CLEO:S and I 2023 - Part of Conference on Lasers and Electro-Optics 2023 - San Jose, United States
Duration: 7 May 202312 May 2023

Publication series

NameCLEO: Science and Innovations, CLEO:S and I 2023

Conference

ConferenceCLEO: Science and Innovations, CLEO:S and I 2023 - Part of Conference on Lasers and Electro-Optics 2023
Country/TerritoryUnited States
CitySan Jose
Period7/05/2312/05/23

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