Abstract
Since fractal image compression is computationally very expensive, speedup techniques are required in addition to parallel processing in order to compress large images in reasonable time. In this paper we introduce a new parallelization approach for fractal image compression algorithms which employ block classification as speedup method suited for multicomputers.
Cite
CITATION STYLE
Hämmerle, J., & Uhl, A. (1999). Classification based speed-up methods for fractal image compression on multicomputers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1557, pp. 276–285). Springer Verlag. https://doi.org/10.1007/3-540-49164-3_26
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