caa a22 4500 477132863 CHVBK 20180405111708.0 cr unu---uuuuu 170330e19970601xx s 000 0 eng 10.1007/s005300050059 doi (NATIONALLICENCE)springer-10.1007/s005300050059 Kominek John Department of Computer Science, University of Waterloo, Waterloo, Ontario, Canada e-mail: (kominek@links.uwaterloo.ca), CA aut Advances in fractal compression for multimedia applications [Elektronische Daten] [John Kominek] Abstract.: Fractal image compression is a promising new technology but is not without problems. Most critically, fast encoding is required for it to find wide use in multimedia applications. This is now within reach: recent methods are five orders of magnitude faster than early attempts. Beginning with the basic ideas and problems, this paper explains how to accelerate fractal image compression. Springer-Verlag Berlin Heidelberg, 1997 Key words: Image compression - Fast fractal algorithm - r-trees - Software video codecs - Multimedia nationallicence https://doi.org/10.1007/s005300050059 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s005300050059 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Kominek John Department of Computer Science, University of Waterloo, Waterloo, Ontario, Canada e-mail: (kominek@links.uwaterloo.ca), CA aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer