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JPEG2000 encoding with perceptual distortion control.

Zhen Liu1, Lina J Karam, Andrew B Watson

  • 1Qualcomm, San Diego, CA 92121, USA. zhenl@qualcomm.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|July 13, 2006
PubMed
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This study introduces a novel encoding method for JPEG2000 to achieve consistent perceptual image quality. The approach uses a vision model and distortion metric, enabling lower bit rates for desired visual quality.

Area of Science:

  • Image Compression
  • Computer Vision
  • Human Visual Perception

Background:

  • JPEG2000 is a widely used image compression standard.
  • Controlling perceptual quality in image compression remains a challenge.
  • Existing methods often prioritize bit rate over consistent visual experience.

Purpose of the Study:

  • To propose a new encoding approach for JPEG2000.
  • To achieve a desired perceptual quality in compressed images.
  • To improve compression efficiency by reducing bit rates for consistent quality.

Main Methods:

  • Developed a novel encoding strategy for JPEG2000.
  • Incorporated a human vision model accounting for masking effects.
  • Utilized a perceptual distortion metric considering spatial and spectral error summation.

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Main Results:

  • The new method successfully controls JPEG2000 encoding for desired perceptual quality.
  • It outperforms conventional rate-based distortion minimization in quality consistency.
  • Achieved consistent image quality at a lower bit rate compared to standard methods.

Conclusions:

  • The proposed encoding approach offers superior perceptual quality control for JPEG2000.
  • This method enhances compression efficiency while maintaining visual fidelity.
  • It provides a valuable tool for applications requiring consistent image quality at reduced file sizes.