SVD for imaging systems with discrete rotational symmetry

Eric Clarkson, Robin Palit, Mathew A. Kupinski

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


In the presence of discrete rotational symmetry for a tomographic imaging system we show that the dimension of the SVD computation can be reduced by a factor equal to the number of collection angles.

Original languageEnglish (US)
Title of host publicationFrontiers in Optics, FiO 2011
PublisherOptical Society of America (OSA)
ISBN (Print)9781557529176
StatePublished - 2011
EventFrontiers in Optics, FiO 2011 - San Jose, CA, United States
Duration: Oct 16 2011Oct 20 2011

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701


OtherFrontiers in Optics, FiO 2011
Country/TerritoryUnited States
CitySan Jose, CA

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics


Dive into the research topics of 'SVD for imaging systems with discrete rotational symmetry'. Together they form a unique fingerprint.

Cite this