Information transfer function for image compression algorithms

Paul G. Cox, Ronald G. Driggers

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

1 Scopus citations

Abstract

Electro-optical and infrared systems are usually approximated to be Linear Shift Invariant (LSI) systems and are characterized by Modulation Transfer Functions (MTF). Each component in these systems has an MTF that describes the modulation throughput as a function of spatial frequency. Image compression is becoming a component in these systems, but unfortunately, cannot be described by the typical MTF. Image compression output signals can be very different than input signals in not only modulation, but frequency and phase. Therefore, the compression system is neither linear or shift invariant. We proposed an Information Transfer Function (ITF) that can be used in a manner similar to the MTF. This ITF describes the correlation between the input image and the output image as a function of spatial frequency, compression ratio, and image complexity. Like MTF, ITF can be used to determine image compression requirements to maintain system spatial resolution.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsGerald C. Holst
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages23-30
Number of pages8
ISBN (Print)0819424781
StatePublished - 1997
Externally publishedYes
EventInfrared Imaging Systems: Design, Analysis, Modeling, and Testing VIII - Orlando, FL, USA
Duration: Apr 23 1997Apr 24 1997

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume3063
ISSN (Print)0277-786X

Conference

ConferenceInfrared Imaging Systems: Design, Analysis, Modeling, and Testing VIII
CityOrlando, FL, USA
Period4/23/974/24/97

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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