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Fast algorithm for distortion-based error protection of embedded image codes.

Raouf Hamzaoui1, Vladimir Stanković, Zixiang Xiong

  • 1Department of Computer and Information Science, University of Konstanz, 78457 Konstanz, Germany. hamzaoui@inf.uni-konstanz.de

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|October 22, 2005
PubMed
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This study introduces a new local search algorithm for joint source-channel coding. The algorithm efficiently finds near-optimal solutions for minimizing expected distortion, outperforming previous methods.

Area of Science:

  • Information Theory
  • Digital Communications
  • Signal Processing

Background:

  • Joint source-channel coding (JSCC) systems protect embedded bitstreams using channel codes with error detection and correction.
  • System performance is evaluated by expected distortion or correctly decoded source bits.
  • Rate-based optimal JSCC solutions are computationally efficient, but distortion-based solutions are prohibitive.

Purpose of the Study:

  • To develop a computationally feasible method for finding distortion-based optimal solutions in JSCC.
  • To propose a lower bound for expected distortion based on rate-based optimal solutions.
  • To introduce a local search algorithm for efficient optimization.

Main Methods:

  • Assumed convexity of the operational distortion-rate function of the source coder.

Related Experiment Videos

  • Derived a lower bound on expected distortion dependent on rate-based optimal solutions.
  • Developed and implemented a local search (LS) algorithm starting from a rate-based optimal solution.

    • Main Results:

    • The local search algorithm converges in linear time to a local minimum of expected distortion.
    • Experimental results on a binary symmetric channel demonstrate near-optimal performance.
    • The proposed LS algorithm exhibits significantly lower complexity compared to prior solutions.

    Conclusions:

    • The local search algorithm provides an efficient and near-optimal approach for distortion-based optimization in JSCC.
    • The derived lower bound offers theoretical insight into performance limitations.
    • This method offers a practical advancement for optimizing JSCC systems with error detection and correction capabilities.