Paper
12 December 1981 Comparison Of Transform Image Coding Techniques For Compression Of Tactical Imagery
Michael S. Murphy
Author Affiliations +
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.
© (1981) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael S. Murphy "Comparison Of Transform Image Coding Techniques For Compression Of Tactical Imagery", Proc. SPIE 0309, Airborne Reconnaissance V, (12 December 1981); https://doi.org/10.1117/12.932786
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image compression

Computer programming

Airborne reconnaissance

Quantization

Image processing

Matrices

Error analysis

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