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Reus94b

E. Reusens. Partitioning complexity issue for iterated function systems based image coding. In Proceedings of the VIIth European Signal Processing Conference EUSIPCO'94, Volume I, Pages 171-174, Edinburgh, 1994.

Abstract

This paper copes with the issue of adaptive partitioning in the context of Iterated Functions Systems (IFS) image coding. The main concern is to provide some insights on the optimum degree of partition adaptivity. The key point is to point out the proper balance of information between the partiton representation and the transformation parameters of the system. Several systems involving different degrees of adaptivity will compared. To that end a polygonal-based segmentation will be presented. This will allow to compare performances of partitioning using respectively square, rectangular and polygonal segments.

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BibTex Reference

@InProceedings{Reus94b,
   Author = {Reusens, E.},
   Title = {Partitioning complexity issue for iterated function systems based image coding},
   BookTitle = {Proceedings of the VIIth European Signal Processing Conference EUSIPCO'94},
   Volume = {I},
   Pages = {171--174},
   Address = {Edinburgh},
   Month = {},
   Year = {1994}
}


Last update: 01.04.2004 by Ivan Kopilovic