Experiments on joint source-channel fractal image coding with unequal error protection

Authors: 
Charfi, Youssef
Stankovic, Vladimir
Hamzaoui, Raouf
Saupe, Dietmar
Haouari, Ameur
Year: 
2002
Language: 
English
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 a range of error-correcting codes 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 only covered channel coding with a fixed source rate.
Pubdate / Erscheinungsdatum: 
2002-01
Promoter / Gefördert durch: 
DAAD, DFG Graduiertenkolleg "Wissensrepräsentation"
Pages / Seitenanzahl: 
9
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