System and method for the fractal encoding of datastreams

Image analysis – Image compression or coding – Transform coding

Patent

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382244, G06K 936, G06K 946

Patent

active

058570365

ABSTRACT:
A system and method for compressing and decompressing datastreams with fractal coding is disclosed. The method includes the generation of an optimal data set transformation function corresponding to a representative datastream captured from a data source. The data set transformation function is determined by ordering the digits of the representative datastream to order the intervals of an attractor. The ordered intervals are then used to determine the mapping functions which define an optimal data set transformation function. The nodes or graphical representation of the data set transformation function are incorporated in a compressor/decompressor combination. The compressor receives data symbols from a data source and determines the next interval of an attractor using a composition operation. The address or a portion of the address is shifted out as a number representative of the data symbols. Preferably, the interval is renormalized so the interval may be represented in sixteen bits. The decompressor receives the number and determines the data symbol value that corresponds to the number in relation to an identified interval. The corresponding data symbol is shifted out and the mapping function corresponding to the data symbol is applied to the identified interval to determine a next interval. The mapping function is applied using a composition operation. The next interval and number are then preferably renormalized and used as the identified interval for the next number received from the compressor. The inventive system includes a buffer for capturing a representative datastream, a data symbol arranger to order strings of the captured datastream, a mapping function generator to generate the mapping functions of the transformation function and a compressor/decompressor combination.

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A Block-sorting Lossless Data Compression Algorithm, M. Burrows and D.J. Wheeler; Digital Equipment Corporation, 1994.

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