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A mesh-based disparity representation method for view interpolation and stereo image compression.

Joon Hong Park1, Hyun Wook Park

  • 1Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon.

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 mesh-based method for stereo image disparity maps, enhancing view interpolation and compression. The approach optimizes image quality by minimizing errors, outperforming traditional techniques.

Area of Science:

  • Computer Vision
  • Image Processing
  • Computer Graphics

Background:

  • Stereo imaging requires accurate disparity maps for applications like view interpolation and image compression.
  • Existing methods struggle to balance accuracy with efficiency in disparity map representation.
  • Image quality in stereo applications is sensitive to both disparity map accuracy and image gradients.

Purpose of the Study:

  • To propose a novel mesh-based representation for disparity maps in stereo images.
  • To improve the quality of view interpolation and stereo image compression.
  • To minimize view-interpolation and prediction errors effectively.

Main Methods:

  • Developed a triangular mesh structure for representing disparity maps.
  • Formulated view-interpolation and prediction errors considering disparity accuracy and image gradients.

Related Experiment Videos

  • Optimized the mesh representation to minimize these formulated errors.

    • Main Results:

    • The proposed mesh-based method achieves higher quality in view-interpolated images.
    • Demonstrated superior performance in stereo image compression compared to conventional methods.
    • The method effectively balances disparity map accuracy and image gradient information.

    Conclusions:

    • The mesh-based disparity map representation is effective for stereo image applications.
    • This novel approach offers significant improvements in view interpolation and compression quality.
    • The method provides a robust solution for enhancing stereo image processing tasks.