CMSnet: State of the Art Deep Learning Multiscale Reconstruction for Compressive Sensing

Vladislav Kravets, Adrian Stern

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

Abstract

We present what is, to the best of our knowledge, state-of-the-art reconstruction results for deep learning-based multiscale compressive sensing. Our reconstruction method is compared to a variety of recent compressive sensing reconstruction methods.

Original languageEnglish
Title of host publicationComputational Optical Sensing and Imaging, COSI 2022
PublisherOptica Publishing Group (formerly OSA)
ISBN (Electronic)9781557528209
StatePublished - 1 Jan 2022
EventComputational Optical Sensing and Imaging, COSI 2022 - Vancouver, Canada
Duration: 11 Jul 202215 Jul 2022

Publication series

NameOptics InfoBase Conference Papers

Conference

ConferenceComputational Optical Sensing and Imaging, COSI 2022
Country/TerritoryCanada
CityVancouver
Period11/07/2215/07/22

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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