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Proceedings Paper

Comparison Of Transform Image Coding Techniques For Compression Of Tactical Imagery
Author(s): Michael S. Murphy
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Paper Abstract

The vast quantities and high generation rates of tactical imagery require very efficient data compression in order to conserve precious bandwidth for transmission and to limit the required storage volume for archiving. This paper describes the results of ef-ficiency and image quality comparisons for several transform image coding techniques. Specifically, the research effort was focused on developing the Singular Value Decomposition (SVD) as an approach to image compression. Detailed comparisons were made to the two-dimensional cosine transform, Hadamard transform and Karhunen-Loeve techniques.

Paper Details

Date Published: 12 December 1981
PDF: 8 pages
Proc. SPIE 0309, Airborne Reconnaissance V, (12 December 1981); doi: 10.1117/12.932786
Show Author Affiliations
Michael S. Murphy, VERAC, Incorporated (United States)

Published in SPIE Proceedings Vol. 0309:
Airborne Reconnaissance V
Robert J. Bannach, Editor(s)

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