Joint source-channel fractal image coding with unequal error protection

Y. Charfi, Vladimir M. Stankovic, R. Hamzaoui, A. Haouari, D. Saupe

Research output: Contribution to journalArticle

2 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)3168-3176
Number of pages9
JournalOptical Engineering
Issue number12
Publication statusPublished - 2002


  • channel coding system
  • fractal image compression
  • Lagrange multiplier optimization

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