Direct reconstruction of difference images from optimal spatial-domain projections

Shikhar Uttam, Nathan A. Goodman, Mark A. Neifeld

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

4 Scopus citations

Abstract

We consider direct minimum mean-squared error (MMSE) reconstruction of difference images without explicit reconstruction of the two images at the two time instants. We first derive the MMSE reconstruction operator and show that it depends on the cross-correlation between the two images taken at different times. We then consider the reconstruction performance of different strategies for measuring linear spatial projections of the two images. Performance is evaluated by using measured video imagery of an urban intersection as the input into a simulation that models the linear projections.

Original languageEnglish (US)
Title of host publicationAdaptive Coded Aperture Imaging and Non-Imaging Sensors II
DOIs
StatePublished - Sep 29 2008
EventAdaptive Coded Aperture Imaging and Non-Imaging Sensors II - San Diego, CA, United States
Duration: Aug 10 2008Aug 10 2008

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7096
ISSN (Print)0277-786X

Other

OtherAdaptive Coded Aperture Imaging and Non-Imaging Sensors II
CountryUnited States
CitySan Diego, CA
Period8/10/088/10/08

Keywords

  • Compressive imaging
  • Difference images
  • Direct MMSE reconstruction

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Direct reconstruction of difference images from optimal spatial-domain projections'. Together they form a unique fingerprint.

Cite this