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Hamz97a

R. Hamzaoui. Fast decoding algorithms for fractal image compression. Research Report Institut für Informatik, Universität Freiburg, No 86, March 1997.

Abstract

A new decoding technique based on an iterative method with pixel updating is proposed for fractal image compression. We prove that new iterative method converges in the most general case of variable shape segmentations, unconstrained domains, and use of pixel shuffling. We show that some important cases the new method has a greater rate of convergence than the conventional method. Furthermore, it is indicated how standard iterative methods can be efficiently implemented in fractal image compression. Finally, experimental results confirming the superiority of our technique are presented.

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BibTex Reference

@TechReport{Hamz97a,
   Author = {Hamzaoui, R.},
   Title = {Fast decoding algorithms for fractal image compression},
   Number = {86},
   Institution = {Institut für Informatik, Universität Freiburg},
   Month = {March},
   Year = {1997}
}


Last update: 01.04.2004 by Ivan Kopilovic