The quantized cosine transform for sensor-layer image compression

Nikos P. Pitsianis, David J. Brady, Xiaobai Sun

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

Abstract

We introduce a compressive encoding at the sensor layer based on the quantized cosine transform. Compression at the physical layer of integrated imaging systems reduces the measurements-to-pixels ratio, the data volume and accelerates image estimation.

Original languageEnglish (US)
Title of host publicationComputational Optical Sensing and Imaging, COSI 2005
PublisherOptical Society of America
ISBN (Print)155752789X, 9781557527899
StatePublished - 2005
Externally publishedYes
EventComputational Optical Sensing and Imaging, COSI 2005 - Charlotte, NC, United States
Duration: Jun 6 2005Jun 6 2005

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Other

OtherComputational Optical Sensing and Imaging, COSI 2005
Country/TerritoryUnited States
CityCharlotte, NC
Period6/6/056/6/05

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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