1 December 2002 Joint source-channel fractal image coding with unequal error protection
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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.
Youssef Charfi, Vladimir Stankovic, Raouf Hamzaoui, Ameur Haouari, Dietmar Saupe, "Joint source-channel fractal image coding with unequal error protection," Optical Engineering 41(12), (1 December 2002). https://doi.org/10.1117/1.1519244
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