Compressive spectral imaging using smoothness on graphs

Juan F. Florez-Ospina, Daniel L. Lau, Kenneth Barner, Gonzalo R. Arce

Research output: Contribution to journalConference articlepeer-review

Abstract

Compressive spectral imaging reconstruction is performed using smoothness on graphs. In doing so, a highly effective and paralilizable graph-smoothness prior reconstruction algorithm is developed based on simple direct matrix inversion.

Original languageEnglish
Article numberCTh2F.1
JournalOptics InfoBase Conference Papers
StatePublished - 2021
EventComputational Optical Sensing and Imaging, COSI 2021 - Part of OSA Imaging and Applied Optics Congress 2021 - Virtual, Online, United States
Duration: Jul 19 2021Jul 23 2021

Bibliographical note

Publisher Copyright:
© OSA 2021, © 2021 The Author(s)

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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