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Wavelet-based joint estimation and encoding of depth-image-based representations for free-viewpoint rendering.

Matthieu Maitre1, Yoshihisa Shinagawa, Minh N Do

  • 1Windows Experience Group, Microsoft, Redmont, WA 98052, USA. mmaitre@microsoft.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|May 17, 2008
PubMed
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This study introduces a new wavelet-based codec for depth-image-based rendering. It improves depth estimation and jointly encodes images and depth maps for efficient, scalable 3D viewing.

Area of Science:

  • Computer Vision
  • Image Processing
  • Signal Processing

Background:

  • Depth-image-based representation (DIBR) enables novel view synthesis.
  • Accurate depth map estimation is crucial for realistic DIBR.
  • Existing methods often struggle with depth ambiguity and efficient encoding.

Purpose of the Study:

  • To develop a novel wavelet-based codec for static DIBR.
  • To improve the joint estimation and encoding of depth maps.
  • To achieve rate-distortion (RD) optimized performance and scalability.

Main Methods:

  • A novel RD optimization scheme is proposed for joint depth estimation and encoding.
  • A rate constraint is used to favor piecewise-smooth depth maps, reducing estimation ambiguity.

Related Experiment Videos

  • Dynamic programming along trees of integer wavelet coefficients efficiently solves the optimization.
  • Joint encoding of images and depth maps minimizes redundancy and optimizes bitrate allocation.

    • Main Results:

    • The proposed codec effectively estimates and encodes depth maps from multiple views.
    • The RD optimization scheme leads to improved depth map quality and efficient bitrate usage.
    • The codec demonstrates scalability in both resolution and quality.
    • Experiments on real data validate the effectiveness of the proposed approach.

    Conclusions:

    • The wavelet-based codec offers a significant advancement for static DIBR.
    • Joint optimization of depth estimation and encoding enhances visual quality and compression efficiency.
    • The codec's scalability makes it suitable for diverse applications requiring free viewpoint selection.