Sparse aperture coding for compressive sampling

David J. Brady, Alexander Mrozack, Kerkil Choi

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

1 Scopus citations

Abstract

For many years, the basic goal of sparse aperture design has been to maximize the support of the modulation transfer function (MTF). Golay apertures and related nonredundant arrays are typically used to achieve this objective. Unfortunately, maximizing the support of the MTF has the necessary effect of decreasing the magnitude of the MTF at mid-band spatial frequencies. Fienup has shown that the decreased magnitude of the MTF for nonredundant arrays contributes as much as reduced throughput to the loss of SNR in sparse apertures relative to full aperture systems. This paper considers the use of periodic sparse arrays to improve the mid-band MTF at the cost of reduced spatial frequency coverage. We further consider methods to recover lost spatial frequencies using multispectral and multiframe sampling and decompressive inference.

Original languageEnglish (US)
Title of host publicationAdaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems II
DOIs
StatePublished - 2010
Externally publishedYes
EventAdaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems II - San Diego, CA, United States
Duration: Aug 1 2010Aug 2 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7818
ISSN (Print)0277-786X

Other

OtherAdaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems II
Country/TerritoryUnited States
CitySan Diego, CA
Period8/1/108/2/10

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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