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Proceedings Paper

Physics and image data compression
Author(s): Adolph E. Smith; Michael J. Gormish; Martin P. Boliek
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Paper Abstract

We show how several basic image compression methods (predictive coding, transform coding, and pyramid coding) are based on self-similarity, and a 1/f2 power law. Phase transitions often show self-similarity which is characterized by a spectral power law. Natural images often show a self-similarity which is also characterized by a power law spectrum which is near 1/f2. Exploring physical analogs leads to greater unity among current methods of compression and perhaps lead to improved techniques.

Paper Details

Date Published: 19 May 1992
PDF: 6 pages
Proc. SPIE 1657, Image Processing Algorithms and Techniques III, (19 May 1992); doi: 10.1117/12.58361
Show Author Affiliations
Adolph E. Smith, Ricoh California Research Ctr. (United States)
Michael J. Gormish, Ricoh California Research Ctr. (United States)
Martin P. Boliek, Ricoh California Research Ctr. (United States)


Published in SPIE Proceedings Vol. 1657:
Image Processing Algorithms and Techniques III
James R. Sullivan; Benjamin M. Dawson; Majid Rabbani, Editor(s)

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