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Combining pyramidal and fractal image coding

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4 Author(s)
W. G. Kropatsch ; Dept. for Pattern Recognition & Image Process., Inst. for Autom., Tech. Univ., Vienna, Austria ; M. A. Neuhauser ; I. J. Leitgeb ; H. Bischof

Compared with the richness in detail of images generated by iterated function systems, the memory requirement of them is very low. Displaying these images is very time consuming, and currently there is no method published to derive an iterated function system directly from a given image. This is known as the inverse problem. The authors introduce discrete transformations and direct computation of a discrete attractor with deterministic noniterative algorithms. This results in an essential saving of time. Furthermore they present a solution of the inverse problem in the one dimensional discrete space

Published in:

Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis,

Date of Conference:

30 Aug-3 Sep 1992