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Progressive image coding using trellis coded quantization.

A Bilgin, P J Sementilli, M W Marcellin

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |February 13, 2008
    PubMed
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    We developed new coding techniques for trellis coded quantization (TCQ) of wavelet coefficients, enabling progressive transmission. This method achieves high coding efficiency and supports progressive modes similar to JPEG.

    Area of Science:

    • Digital Signal Processing
    • Image Compression
    • Wavelet Transforms

    Background:

    • Trellis Coded Quantization (TCQ) is an efficient data compression technique.
    • Wavelet transforms are widely used for image and signal analysis due to their multi-resolution properties.
    • Progressive transmission allows for the gradual display of an image at increasing levels of detail.

    Discussion:

    • This research introduces novel coding techniques to integrate TCQ with wavelet transforms for progressive image transmission.
    • A key contribution is a method for approximate TCQ inversion without requiring least significant bits, crucial for efficient progressive decoding.
    • The study evaluates various rate allocation strategies and entropy coders to optimize performance.

    Key Insights:

    • The proposed wavelet-TCQ coder achieves excellent coding efficiency.

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  • The system supports progressive transmission modes comparable to established standards like JPEG.
  • The developed method facilitates efficient reconstruction of quantized wavelet coefficients.

    • Outlook:

    • Future work could explore adaptive TCQ strategies for enhanced compression ratios.
    • Further research may investigate the application of these techniques to other signal types beyond images.
    • Optimizing the approximate inversion method for different wavelet families could improve robustness.