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Related Experiment Videos

Ordering for embedded coding of wavelet image data based on arbitrary scalar quantization schemes.

Matthew D Gaubatz1, Sheila S Hemami

  • 1Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853, USA. gaubatz@ece.cornell.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|April 5, 2007
PubMed
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This study optimizes wavelet coding order for better image compression. It aligns discrete step sizes with continuous quantization for improved rate control and data layer creation.

Area of Science:

  • Digital image processing
  • Signal processing
  • Data compression

Background:

  • Modern wavelet quantization uses continuous step sizes for rate control.
  • Embedded wavelet coders achieve rate control by truncating bit streams, leading to discontinuous step sizes.
  • The coding order implicitly determines quantization step sizes in embedded coders.

Purpose of the Study:

  • To design an optimal coding order for embedded wavelet coders.
  • To minimize the difference between implicit discontinuous step sizes and continuous quantization step sizes.
  • To enable flexible creation of coded data layers using various quantization and coding schemes.

Main Methods:

  • Formulated an optimization problem to minimize the relative difference between implicit and continuous step sizes.

Related Experiment Videos

  • Developed elegant, near-optimal solutions for optimizing step sizes across different rate regions.
  • Applied the method to layered coding strategies with scalar quantization and wavelet bit-plane coders.

    • Main Results:

    • The proposed optimization method yields an effective coding order.
    • Near-optimal solutions were found for optimizing step sizes over continuous and discrete rate regions.
    • The method demonstrated effectiveness with state-of-the-art coders and quantization schemes.

    Conclusions:

    • The developed method provides a robust approach to designing coding order in embedded wavelet coders.
    • This technique allows for the creation of optimized data layers for image compression.
    • Objective and subjective testing validated the proposed method's performance.