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Optical Engineering

Joint source-channel fractal image coding with unequal error protection
Author(s): Youssef Charfi; Vladimir Stankovic; Raouf Hamzaoui; Ameur Haouari; Dietmar Saupe
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Paper Abstract

We propose a joint source-channel coding system for fractal image compression. We allocate the available total bit rate between the source code and the channel code using a Lagrange multiplier optimization technique. The principle of the proposed unequal error protection strategy is to partition the information bits into sensitivity classes and to assign one code from a range of error-correcting codes to each sensitivity class in a nearly optimal way. Experimental results show that joint source-channel coding with fractal image compression is feasible, leads to efficient protection strategies, and outperforms previous works in this field that covered only channel coding with a fixed source rate.

Paper Details

Date Published: 1 December 2002
PDF: 9 pages
Opt. Eng. 41(12) doi: 10.1117/1.1519244
Published in: Optical Engineering Volume 41, Issue 12
Show Author Affiliations
Youssef Charfi, Univ. of Constance (Germany)
Vladimir Stankovic, Univ. of Constance (Germany)
Raouf Hamzaoui, Univ. of Constance (Germany)
Ameur Haouari, Univ. Mohammed V (Morocco)
Dietmar Saupe, Univ. of Constance (Germany)

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