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Single-Pixel Machine Vision Using Spectral Encoding through Diffractive Optical Networks

  • Jingxi Li
  • , Deniz Mengu
  • , Nezih T. Yardimci
  • , Yi Luo
  • , Xurong Li
  • , Muhammed Veli
  • , Yair Rivenson
  • , Mona Jarrahi
  • , Aydogan Ozcan

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

Abstract

We present and experimentally demonstrate a deep learning-driven machine-vision framework that trains diffractive surfaces to encode the spatial information objects into the output power spectrum for all-optical image classification using a single-pixel spectroscopic detector.

Original languageEnglish
Title of host publication2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781943580910
StatePublished - 1 May 2021
Externally publishedYes
Event2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Virtual, Online, United States
Duration: 9 May 202114 May 2021

Publication series

Name2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings

Conference

Conference2021 Conference on Lasers and Electro-Optics, CLEO 2021
Country/TerritoryUnited States
CityVirtual, Online
Period9/05/2114/05/21

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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