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Related Experiment Videos

Arithmetic coding with dual symbol sets and its performance analysis.

B Zhu1, E H Yang, A H Tewfik

  • 1Cognicity Inc., Edina, MN 55439, USA.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 13, 2008
PubMed
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This novel adaptive arithmetic coding method uses dual symbol sets for efficient data compression. It dynamically adapts to changing data, outperforming conventional methods for image compression.

Area of Science:

  • Computer Science
  • Information Theory
  • Data Compression

Background:

  • Adaptive arithmetic coding is crucial for efficient data compression.
  • Handling non-stationary data sources with large alphabets presents a significant challenge.
  • Existing methods may struggle with highly skewed and dynamic symbol distributions.

Purpose of the Study:

  • To introduce a novel adaptive arithmetic coding method utilizing dual symbol sets.
  • To enhance compression performance for non-stationary data sources.
  • To adaptively manage symbol probabilities based on local statistics.

Main Methods:

  • Implementation of a dual symbol set strategy: primary (near-future symbols) and secondary (other symbols).
  • Dynamic symbol movement between sets to reflect evolving source statistics.

Related Experiment Videos

  • Theoretical and experimental performance analysis against established methods.

    • Main Results:

    • The proposed method demonstrates superior compression performance in specific contexts, such as wavelet-based image coding.
    • Experimental results confirm advantages over conventional and zero-frequency escape arithmetic coding.
    • Effective adaptation to skewed and non-stationary alphabet distributions was observed.

    Conclusions:

    • The dual symbol set adaptive arithmetic coding offers improved compression efficiency.
    • The method is particularly effective for data sources like images with complex statistical properties.
    • This approach represents a significant advancement in adaptive data compression techniques.