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Related Experiment Video

Updated: Jun 21, 2026

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
05:12

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

Vector lifting schemes for stereo image coding.

Mounir Kaaniche1, Amel Benazza-Benyahia, Béatrice Pesquet-Popescu

  • 1Ecole NationaleSupérieure des Télécommunications de Paris, 75014 Paris, France. kaaniche@telecom-paristech.fr

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|July 10, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a new stereo image coding method using vector lifting schemes (VLS) for efficient lossy-to-lossless compression and progressive reconstruction. The novel VLS approach significantly improves stereo image compression performance over conventional techniques.

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Area of Science:

  • Computer Vision
  • Image Processing
  • Data Compression

Background:

  • Stereo image coding is crucial for storage and transmission.
  • Current methods often rely on disparity compensation, involving disparity map estimation and residual image generation.
  • There's a need for improved lossy-to-lossless stereo image coding schemes that allow progressive reconstruction.

Purpose of the Study:

  • To propose a novel stereo image coding scheme based on vector lifting schemes (VLS).
  • To enable compact multiresolution representations for both left and right stereo views.
  • To evaluate the performance of the proposed VLS approach compared to conventional methods.

Main Methods:

  • Development of a novel stereo image coding approach utilizing vector lifting schemes (VLS).
  • Generation of two compact multiresolution representations for stereo image pairs.
  • Theoretical analysis of the performance of the VLS-based scheme.
  • Experimental evaluation of the proposed method.

Main Results:

  • The proposed VLS-based stereo image coding scheme generates compact multiresolution representations.
  • Theoretical analysis provides insights into the performance characteristics of the VLS approach.
  • Experimental results demonstrate significant performance improvements compared to conventional stereo image compression methods.

Conclusions:

  • The novel VLS approach offers a significant advancement in stereo image coding.
  • The proposed scheme effectively achieves lossy-to-lossless coding with progressive reconstruction capabilities.
  • This method presents a promising alternative for efficient stereo image storage and transmission.