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Fractal coding of video sequence using circular prediction mapping and noncontractive interframe mapping.

C S Kim, R C Kim, S U Lee

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |February 16, 2008
    PubMed
    Summary
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    This study introduces a new fractal video coding algorithm using circular and noncontractive interframe mapping. It efficiently uses temporal correlation for low bit rate video compression.

    Area of Science:

    • Digital image processing
    • Video compression algorithms
    • Fractal image compression

    Background:

    • Traditional video coding methods struggle with temporal correlation at low bit rates.
    • Fractal-based compression offers potential for high compression ratios.

    Discussion:

    • The proposed algorithm leverages circular prediction and noncontractive interframe mapping to exploit temporal redundancy.
    • Range blocks are approximated by similarly sized domain blocks from adjacent frames, enhancing efficiency.
    • This approach effectively captures motion and changes between frames.

    Key Insights:

    • Achieves promising performance for fractal video sequence coding at low bit rates (40-250 kbyte/s).
    • Demonstrates effective exploitation of temporal correlation in real image sequences.

    Related Experiment Videos

  • Novel combination of mapping techniques for improved video compression.

    • Outlook:

    • Potential for further optimization of fractal video coding parameters.
    • Applicability to real-time video transmission and storage with limited bandwidth.
    • Further research into adaptive mapping strategies for diverse video content.