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Proceedings Paper

Lossless image compression with autosophy networks
Author(s): Klaus E. Holtz
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Paper Abstract

The new science of Autosophy explains `self-assembling structures,' such crystals or living trees, in mathematical terms. This research has produced a mathematical theory of `learning' and a new `information theory' which permits the growing of self-assembling data network in a computer memory similar to the growing of `data crystals' or `data trees' without data processing or programming. Self-growing Autosophy networks yield real-time `lossless' image compression in which the transmission bandwidth is independent of screen size, resolution, or scanning rates. The systems contain a peculiar self-growing omni dimensional image library in which many image fragments are stored in mathematical hyperspace. For transmission each input image is broken into fragments of various sizes by comparing it like a jigsaw puzzle with the largest matching fragments in the library. The fragments ar identified with a `pattern address' and a `location address' and transmitted as `superpixel.' Each superpixel may represent any size part of the image, from single pixels to entire screen images. For storage compression each image is reduced into a single output code to the computer. The image information is stored in a mathematical hyperspace to yield many orders of magnitude lossless image compression.

Paper Details

Date Published: 8 April 1993
PDF: 14 pages
Proc. SPIE 1903, Image and Video Processing, (8 April 1993); doi: 10.1117/12.143135
Show Author Affiliations
Klaus E. Holtz, Omni Dimensional Networks (United States)


Published in SPIE Proceedings Vol. 1903:
Image and Video Processing
Majid Rabbani; M. Ibrahim Sezan; A. Murat Tekalp, Editor(s)

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