Achromatic imaging systems with flat lenses enabled by deep learning

Roy Maman, Eitan Mualem, Noa Mazurski, Jacob Engelberg, Uriel Levy

Research output: Contribution to conferencePaperpeer-review

Abstract

We experimentally demonstrate an achromatic imaging system by the fusion of chromatically aberrated flat lenses with deep learning. We obtained high-quality images captured with a large field-of-view under normal outdoor light illumination conditions.

Original languageEnglish
StatePublished - 2024
EventCLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics - Charlotte, United States
Duration: 5 May 202410 May 2024

Conference

ConferenceCLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics
Country/TerritoryUnited States
CityCharlotte
Period5/05/2410/05/24

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Space and Planetary Science
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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