Joint sparse recovery in inverse scattering

Okkyun Lee, Jong Chul Ye

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

Abstract

In this paper, we review joint sparse recovery based reconstruction approach for inverse scattering problems that can solve the nonlnear inverse scattering probleme without linearization or iterative Green's function update. The main idea is to exploit the common support conditions of anomalies during multiple illumination or current injections, after which unknown potential or field can be estimated using recursive integral equation relationship. Explicit derivation for electric impedance tomography and diffuse optical tomography are discussed.

Original languageEnglish
Title of host publicationImage Reconstruction from Incomplete Data VIII
EditorsPhilip J. Bones, Michael A. Fiddy, Michael A. Fiddy, Rick P. Millane, Philip J. Bones, Rick P. Millane
PublisherSPIE
ISBN (Electronic)9781628417661, 9781628417661
DOIs
StatePublished - 2015
EventImage Reconstruction from Incomplete Data VIII - San Diego, United States
Duration: 11 Aug 201512 Aug 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9600
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceImage Reconstruction from Incomplete Data VIII
Country/TerritoryUnited States
CitySan Diego
Period11/08/1512/08/15

Bibliographical note

Publisher Copyright:
© 2015 SPIE.

Keywords

  • Inverse scattering
  • compressed sensing
  • diffuse optical tomography
  • electric impedance tomography
  • joint sparse recovery

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