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Scanning order strategies for bitplane image coding.

Francesc Aulí-Llinàs1, Michael W Marcellin

  • 1Department of Information and Communications Engineering, Universitat Autònoma de Barcelona, Bellaterra, Spain. fauli@deic.uab.es

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|December 1, 2011
PubMed
Summary
This summary is machine-generated.

This study evaluates bitplane image coding scanning strategies using rate-distortion theory. A new low-complexity scanning strategy is proposed, improving bitplane coder design for specific needs.

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Area of Science:

  • Computer Vision
  • Image Processing
  • Information Theory

Background:

  • Bitplane image coding is crucial for efficient data compression.
  • Assessing scanning strategies is key to optimizing coding performance.
  • Existing methods often lack theoretical grounding for practical design.

Purpose of the Study:

  • To evaluate classic scanning strategies in modern bitplane image codecs.
  • To develop theoretical-practical mechanisms for assessing coder features.
  • To propose a low-complexity scanning strategy for specialized applications.

Main Methods:

  • Utilized rate-distortion theory to conceive assessment mechanisms.
  • Applied theoretical-practical insights to analyze scanning orders.
  • Proposed and experimentally validated a novel low-complexity scanning strategy.

Main Results:

  • Distinguished essential features of bitplane coders from non-essential ones.
  • Demonstrated the effectiveness of proposed theoretical-practical mechanisms.
  • Validated the performance of the proposed low-complexity scanning strategy.

Conclusions:

  • The developed mechanisms aid in designing specialized bitplane coding engines.
  • Rate-distortion theory provides a robust framework for evaluating scanning strategies.
  • The proposed low-complexity strategy offers practical advantages for specific requirements.