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Scalable image coding using reversible integer wavelet transforms.

A Bilgin, J Sementilli, F Sheng

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |February 12, 2008
    PubMed
    Summary
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    This study introduces a new scalable image coder using reversible integer wavelet transforms. It achieves lossless compression comparable to JPEG-LS and competitive lossy compression performance.

    Area of Science:

    • Digital image processing
    • Signal processing
    • Data compression

    Background:

    • Reversible integer wavelet transforms enable both lossless and lossy decoding from a single bitstream.
    • Scalable image coding is crucial for efficient transmission and storage across diverse network conditions.

    Discussion:

    • The proposed image coder leverages reversible integer wavelet transforms for integrated lossless and lossy compression.
    • Performance evaluation focuses on the coder's efficiency in both lossless and lossy modes.

    Key Insights:

    • The developed coder demonstrates lossless compression performance on par with established standards like JPEG-LS.
    • Its lossy compression capabilities are highly competitive against existing efficient methods.

    Outlook:

    Related Experiment Videos

    • Further research can explore optimizations for real-time applications.
    • Potential for integration into next-generation image and video coding standards.