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GhHu96c

M. Gharavi-Alkhansari, T. S. Huang. Fractal image coding using rate-distortion optimized matching pursuit. In Proc. SPIE VCIP 1996, Volume 2727, Pages 1386-1393, Orlando, Florida, March 1996.

Abstract

Matching pursuit is a general and flexible method for solving an optimization problem that is of interest in signal analysis, coding, control theory and statics. In this paper, principles of rate-distortion optimal coding are used in combination with matching pursuit algorithm to obtain an enhanced fractal image coding method. The advantages of using such a method over traditional fractal image coders are described and compression results are presented.

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BibTex Reference

@InProceedings{GhHu96c,
   Author = {Gharavi-Alkhansari, M. and Huang, T. S.},
   Title = {Fractal image coding using rate-distortion optimized matching pursuit},
   BookTitle = {Proc. SPIE VCIP 1996},
   Volume = {2727},
   Pages = {1386--1393},
   Address = {Orlando, Florida},
   Month = {March},
   Year = {1996}
}


Last update: 01.04.2004 by Ivan Kopilovic