Fractal image coding using rate-distortion optimized matching pursuit

Mohammad Gharavi-Alkhansari; Thomas S. Huang

doi:10.1117/12.233213

27 February 1996 Fractal image coding using rate-distortion optimized matching pursuit

Mohammad Gharavi-Alkhansari, Thomas S. Huang

Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233213
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States

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 statistics. 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.

Citation Download Citation

Mohammad Gharavi-Alkhansari and Thomas S. Huang "Fractal image coding using rate-distortion optimized matching pursuit", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233213

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