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Transform coding of stereo image residuals.

M S Moellenhoff1, M W Maier

  • 1Image Processing Department, Raytheon Systems Co., Tucson, AZ 85734, USA. MarkMoell@aol.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 16, 2008
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Summary
This summary is machine-generated.

This study introduces novel stereo image compression methods focusing on residual coding. These techniques efficiently reduce bit rates for both grayscale and color imagery, enhancing telepresence systems.

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Area of Science:

  • Computer Vision
  • Image Processing
  • Data Compression

Background:

  • Stereo image compression is crucial for emerging display technologies and telepresence.
  • Existing methods often focus on disparity compensation, neglecting residual coding.
  • Cross-view redundancy in stereo pairs offers significant compression potential.

Purpose of the Study:

  • To develop and evaluate specialized coding methods for disparity-compensated stereo residual images.
  • To improve the efficiency of stereo image compression beyond current standards.
  • To investigate the impact of residual characteristics on transform and quantization selection.

Main Methods:

  • Analysis of theoretically expected and experimentally observed characteristics of stereo residuals.
  • Application of specialized transforms and quantization methods tailored to residual properties.
  • Evaluation using Mean Squared Error (MSE) and a stereo-specific image registration metric.
  • Comparison of Discrete Cosine Transform (DCT) and wavelet-based approaches.

Main Results:

  • DCT-based methods achieve high performance (<0.75 b/pixel for grayscale, <2 b/pixel for color).
  • Wavelet-based methods offer ~50% bit rate reduction by encoding only the vertical channel.
  • Proposed algorithms add minimal computational overhead to existing disparity-compensated methods.

Conclusions:

  • Specialized coding of disparity-compensated residuals significantly enhances stereo image compression efficiency.
  • Exploiting directional characteristics via DCT and vertical channel encoding in wavelets are effective strategies.
  • These methods provide practical improvements for telepresence and advanced display applications.