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

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

Research output: Book/ReportOther report

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.
Original languageEnglish
Place of PublicationLeipzig
Number of pages9
Publication statusPublished - 2002

Keywords

  • source-channel coding system
  • fractal image compression
  • fractal image coding

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