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Proceedings Paper

Information transfer function for image compression algorithms
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Paper 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.

Paper Details

Date Published: 16 June 1997
PDF: 8 pages
Proc. SPIE 3063, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VIII, (16 June 1997); doi: 10.1117/12.276084
Show Author Affiliations
Paul G. Cox, Science Applications International Corp. (United States)
Ronald G. Driggers, Science Applications International Corp. (United States)


Published in SPIE Proceedings Vol. 3063:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VIII
Gerald C. Holst, Editor(s)

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