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Related Experiment Videos

Precompression quality-control algorithm for JPEG 2000.

Yu-Wei Chang1, Hung-Chi Fang, Chih-Chi Cheng

  • 1DSP/IC Design Lab, Graduate Institute of Electronics Engineering and Department of Electrical Engineering, National Taiwan University, Taipei 10617, Taiwan, ROC. wayne@video.ee.ntu.edu.tw

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|November 2, 2006
PubMed
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A new precompression quality-control algorithm significantly cuts computational power and memory needs for embedded block coding (EBC). This method predicts coding outcomes, reducing processing by 80% and memory by 90% with minimal impact on image quality.

Area of Science:

  • Digital image processing
  • Data compression algorithms
  • Information theory

Background:

  • Embedded block coding (EBC) is crucial for image compression.
  • Conventional rate-distortion optimization in EBC demands substantial computational power and memory.
  • Buffering bit streams during EBC can be resource-intensive.

Purpose of the Study:

  • To introduce a precompression quality-control algorithm for EBC.
  • To reduce the computational complexity and memory footprint of EBC.
  • To maintain high image quality while improving coding efficiency.

Main Methods:

  • Utilizing the propagation and randomness properties inherent in EBC.
  • Predicting rate and distortion of coding passes before entropy coding.

Related Experiment Videos

  • Selecting optimal truncation points proactively to skip unnecessary computations.

    • Main Results:

    • Achieved an average reduction of 80% in computational power for EBC.
    • Reduced memory requirements by an average of 90%.
    • Observed only a minor average degradation in Peak Signal-to-Noise Ratio (PSNR) of 0.1-0.3 dB.

    Conclusions:

    • The proposed precompression algorithm offers significant efficiency gains in EBC.
    • It effectively minimizes computational and memory demands without substantial quality loss.
    • This approach presents a viable alternative for resource-constrained embedded block coding applications.