Paper
19 May 1992 Physics and image data compression
Adolph E. Smith, Michael J. Gormish, Martin P. Boliek
Author Affiliations +
Proceedings Volume 1657, Image Processing Algorithms and Techniques III; (1992) https://doi.org/10.1117/12.58361
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Adolph E. Smith, Michael J. Gormish, and Martin P. Boliek "Physics and image data compression", Proc. SPIE 1657, Image Processing Algorithms and Techniques III, (19 May 1992); https://doi.org/10.1117/12.58361
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KEYWORDS
Image compression

Image processing

Fractal analysis

Image segmentation

Image resolution

Eye

Physics

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