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Proceedings Paper

Fractal image coding using rate-distortion optimized matching pursuit
Author(s): Mohammad Gharavi-Alkhansari; Thomas S. Huang
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Paper 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.

Paper Details

Date Published: 27 February 1996
PDF: 8 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233213
Show Author Affiliations
Mohammad Gharavi-Alkhansari, Univ. of Illinois/Urbana-Champaign (United States)
Thomas S. Huang, Univ. of Illinois/Urbana-Champaign (United States)


Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

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