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Wavelet-based scalable L-infinity-oriented compression.

Alin Alecu1, Adrian Munteanu, Jan P H Cornelis

  • 1Electronics and Informatics Department (ETRO), Interdisciplinary Institute for BroadBand Technology (IBBT), Vrije Universiteit Brussel, 1050 Brussels, Belgium. aalecu@etro.vub.ac.be

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|September 5, 2006
PubMed
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This study introduces a novel wavelet-based framework for L(infinity)-constrained scalable coding, enabling fully embedded bit streams. The new method significantly improves compression performance compared to existing techniques, including JPEG2000.

Area of Science:

  • Digital Signal Processing
  • Image Compression
  • Wavelet Theory

Background:

  • Predictive coding schemes excel in near-lossless compression but struggle with embedded L(infinity)-oriented compression.
  • Existing methods offer limited bit-stream truncation points for L(infinity) metrics.
  • State-of-the-art L2-oriented wavelet codecs provide high performance and scalability but not L(infinity) optimization.

Purpose of the Study:

  • To propose a new multidimensional wavelet-based framework for L(infinity)-constrained scalable coding.
  • To achieve fully embedded L(infinity)-oriented bit streams.
  • To maintain coding performance and scalability comparable to L2-oriented codecs.

Main Methods:

  • Development of a novel multidimensional wavelet-based coding framework.

Related Experiment Videos

  • Implementation of an L(infinity)-constrained scalable coding approach.
  • Generation of a fully embedded bit stream with truncation capabilities.

    • Main Results:

    • The proposed framework successfully generates a fully embedded L(infinity)-oriented bit stream.
    • The coding performance and scalability options are retained from state-of-the-art L2-oriented wavelet codecs.
    • The codec instantiation significantly outperforms JPEG2000 in L(infinity) coding.

    Conclusions:

    • The novel wavelet-based framework offers superior L(infinity)-constrained compression.
    • It provides a fully embedded and scalable bit stream suitable for advanced applications.
    • This approach represents a significant advancement over existing compression standards like JPEG2000 for L(infinity) metrics.