Lossless Image Compression with Autosophy Networks

Video compression using a new Autosophy information theory

Authors: Klaus Holtz

Published / Presented at: SPIE-93, Image and Video Processing, 3 – 4 February 1993, San Jose, California. Volume 1903.

Level: Expert

Abstract: The new science of Autosophy explains “Self-assembling Structures”, such as 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 networks 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 system contains 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 fragment in the library. The fragments are 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.

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