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

1 Scopus citations

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 publicationSignal Recovery and Synthesis, SRS 2005
PublisherOptical Society of America (OSA)
ISBN (Print)155752789X, 9781557527899
DOIs
StatePublished - 2005
Externally publishedYes
EventSignal Recovery and Synthesis, SRS 2005 - Charlotte, NC, United States
Duration: Jun 6 2005Jun 6 2005

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Conference

ConferenceSignal Recovery and Synthesis, SRS 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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