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Error resilient pre/post-filtering for DCT-based block coding systems.

Chengjie Tu1, Trac D Tran, Jie Liang

  • 1Microsoft Digital Media Division, Microsoft Corporation, Redmond, WA 98052, USA. chentu@microsoft.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 27, 2006
PubMed
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This study introduces new pre/post-filters for discrete cosine transform (DCT) block coding. These filters enhance image and video compression efficiency while improving error resilience for unreliable channels.

Area of Science:

  • Digital image and video compression
  • Signal processing
  • Error resilient coding

Background:

  • Discrete cosine transform (DCT) block coding is widely used for image and video compression.
  • Pre/post-filters enhance coding efficiency and reduce blocking artifacts in DCT-based systems.
  • Existing filters prioritize coding efficiency but are vulnerable to transmission errors.

Purpose of the Study:

  • To design pre/post-filters that are robust to transmission errors for DCT-based block coding.
  • To achieve a balance between coding efficiency and error resilience.
  • To improve reconstruction performance over unreliable communication channels.

Main Methods:

  • Development of a family of pre/post-filters specifically designed for error resilience.

Related Experiment Videos

  • Optimization of filters to balance coding efficiency and robustness against transmission errors.
  • Evaluation of reconstruction performance based on average error and error distribution.

    • Main Results:

    • The designed pre/post-filters demonstrate superior reconstruction performance in the presence of transmission errors.
    • These filters achieve improved error resilience without significant degradation in coding performance.
    • A trade-off between coding efficiency and error robustness can be effectively managed.

    Conclusions:

    • The proposed pre/post-filters offer a viable solution for robust image and video communication over unreliable channels.
    • Error-resilient filtering is crucial for maintaining reconstruction quality in DCT-based systems facing transmission errors.
    • The developed filters provide a flexible approach to optimize for both compression and reliability.