Compressive sensing based spatial frequency domain imaging reconstruction

Ben O.L. Mellors*, Christopher R. Howle, Abigail M. Spear, Hamid Dehghani

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Compressive sensing methods demonstrate the ability to collect large data sets using a reduced number of observations. Here we present advantages of compressive sensing applied to Spatial Frequency Domain Imaging.

Original languageEnglish
Title of host publicationOptical Tomography and Spectroscopy, OTS 2020
PublisherOptica Publishing Group (formerly OSA)
ISBN (Print)9781943580743
DOIs
Publication statusPublished - 2020
EventOptical Tomography and Spectroscopy, OTS 2020 - Washington, United States
Duration: 20 Apr 202023 Apr 2020

Publication series

NameOptics InfoBase Conference Papers
VolumePart F179-OTS-2020
ISSN (Electronic)2162-2701

Conference

ConferenceOptical Tomography and Spectroscopy, OTS 2020
Country/TerritoryUnited States
City Washington
Period20/04/2023/04/20

Bibliographical note

Funding Information:
The authors would like to acknowledge the EPSRC grant EP/L016346/1 for funding.

Publisher Copyright:
© 2020 The Author(s).

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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