Compressive imaging sensors

N. P. Pitsianis, D. J. Brady, A. Portnoy, X. Sun, T. Suleski, M. A. Fiddy, M. R. Feldman, R. D. Tekolste

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

35 Scopus citations

Abstract

This paper describes a compressive sensing strategy developed under the Compressive Optical MONTAGE Photography Initiative. Multiplex and multi-channel measurements are generally necessary for compressive sensing. In a compressive imaging system described here, static focal plane coding is used with multiple image apertures for non-degenerate multiplexing and multiple channel sampling. According to classical analysis, one might expect the number of pixels in a reconstructed image to equal the total number of pixels across the sampling channels, but we demonstrate that the system can achieve up to 50% compression with conventional benchmarking images. In general, the compression rate depends on the compression potential of an image with respect to the coding and decoding schemes employed in the system.

Original languageEnglish (US)
Title of host publicationIntelligent Integrated Microsystems
DOIs
StatePublished - 2006
Externally publishedYes
EventIntelligent Integrated Microsystems - Kissimmee, FL, United States
Duration: Apr 19 2006Apr 21 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6232
ISSN (Print)0277-786X

Other

OtherIntelligent Integrated Microsystems
Country/TerritoryUnited States
CityKissimmee, FL
Period4/19/064/21/06

Keywords

  • Compressive sensing
  • Computational optical sensing and imaging
  • Focal plane coding
  • Multi-aperture imaging
  • Super-resolution image construction

ASJC Scopus subject areas

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

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