Compressive Learning Holography with LPTNet

Vladislav Kravets, Adrian Stern

Research output: Contribution to conferencePaperpeer-review

Abstract

Learned compressive sensing involves data-driven methods for both designing the sensing mechanism and reconstructing the signal. Here we describe a learned compressive holography method utilizing our recently introduced LPTNet.

Original languageEnglish
StatePublished - 1 Jan 2024
Event3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2024 - Part of Optica Imaging Congress - Toulouse, France
Duration: 15 Jul 202419 Jul 2024

Conference

Conference3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2024 - Part of Optica Imaging Congress
Country/TerritoryFrance
CityToulouse
Period15/07/2419/07/24

ASJC Scopus subject areas

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

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