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Related Experiment Videos

On multirate optimality of JPEG2000 code stream.

Xiaolin Wu1, Sorina Dumitrescu, Ning Zhang

  • 1Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada. xwu@mail.ece.mcmaster.ca

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|December 24, 2005
PubMed
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JPEG2000

Area of Science:

  • Digital image compression
  • Signal processing
  • Information theory

Background:

  • JPEG2000's core feature is its rate-distortion (R-D) optimized, multi-layered, scalable code stream.
  • This structure interleaves scalable code streams from different sample blocks.

Purpose of the Study:

  • To re-examine the R-D optimality of JPEG2000 scalable code streams.
  • To evaluate performance under an expected multirate distortion (EMRD) measure, considering a range of operational rates.

Main Methods:

  • Proving the near-optimality of JPEG2000's embedded block coding with optimal truncation under EMRD for uniform rate distributions.
  • Developing algorithms to optimize JPEG2000 code streams for exponential and Laplacian rate distributions.

Main Results:

Related Experiment Videos

  • Demonstrated that JPEG2000 code streams are nearly optimal in the EMRD sense for uniform rate distributions, even with non-convex R-D curves.
  • Developed compatible algorithms for optimizing code streams for different rate distributions.

Conclusions:

  • JPEG2000 is a near-optimal scalable image codec across various rate distributions.
  • The findings support JPEG2000's effectiveness in general scalable image compression scenarios.