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A syntax-preserving error resilience tool for JPEG 2000 based on error correcting arithmetic coding.

Marco Grangetto1, Enrico Magli, Gabriella Olmo

  • 1Dipartimento di Elettronica, Center for Multimedia Radio Communications, Politecnico di Torino, 10129 Torino, Italy. grangetto@polito.it

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|April 4, 2006
PubMed
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This study introduces a new error resilience tool for JPEG 2000 image and video coding. The novel method enhances error detection and correction in harsh transmission environments, improving quality.

Area of Science:

  • Digital image and video compression standards
  • Information theory and coding
  • Wireless communication systems

Background:

  • JPEG 2000 is an ISO standard for image and video coding with built-in error resilience.
  • Existing JPEG 2000 error resilience tools are insufficient for very harsh transmission channels.
  • Error-prone channels, common in wireless communications, can corrupt compressed data.

Purpose of the Study:

  • To propose a novel error-resilience tool for the JPEG 2000 standard.
  • To enhance the protection of compressed image and video data against transmission errors.
  • To improve the performance of JPEG 2000 in adverse channel conditions.

Main Methods:

  • Development of a novel error-resilience tool based on ternary arithmetic coders with a forbidden symbol.

Related Experiment Videos

  • Introduction of controlled redundancy during encoding for error detection and correction.
  • Implementation of maximum likelihood and maximum a posteriori context-based decoders tailored for JPEG 2000.

    • Main Results:

    • The proposed decoders can perform hard and soft decoding of corrupted code-streams.
    • The novel tool extends JPEG 2000 capabilities in error-prone scenarios without violating standard syntax.
    • Extensive simulations demonstrate significant improvements in PSNR and visual quality over the standard JPEG 2000.

    Conclusions:

    • The proposed ternary arithmetic coder-based tool significantly enhances JPEG 2000 error resilience.
    • The developed decoders effectively detect and correct errors in corrupted code-streams.
    • This approach offers a viable solution for transmitting JPEG 2000 data over unreliable wireless channels.