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CoHaFl95

W. O. Cochran, J. C. Hart, P. J. Flynn. Principal component classification for fractal volume compression. In Proceedings of Western Computer Graphics Symposium, March 1995.

Abstract

Fractal volume compression is an extension of fractal image compression to volumetric data. The technique partitions the volume into range blocks which are replaced in the output dataset by transformations that resemble the original range partitions. Proncipal component analysis provides a classifications system which diracts the search for these self-similar maps to likely candidates. Classification also allows for simpler maps to represent less complex range blocks thus providing a higher compression rate.

BibTex Reference

@InProceedings{CoHaFl95,
   Author = {Cochran, W. O. and Hart, J. C. and Flynn, P. J.},
   Title = {Principal component classification for fractal volume compression},
   BookTitle = {Proceedings of Western Computer Graphics Symposium},
   Month = {March},
   Year = {1995}
}


Last update: 01.04.2004 by Ivan Kopilovic