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 ef"cient protection strategies, and outperforms previous works in this "eld that
only covered channel coding with a "xed source rate.
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 ef"cient protection strategies, and outperforms previous works in this "eld that
only covered channel coding with a "xed source rate.
| Original language | English |
|---|---|
| Place of Publication | Leipzig |
| Number of pages | 9 |
| Publication status | Published - 2002 |
Keywords
- source-channel coding system
- fractal image compression
- fractal image coding
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Charfi, Y., Stankovic, V. M., Hamzaoui, R., & Saupe, D. (2002). Experiments on joint source-channel fractal image coding with unequal error protection.