Depth and depth-color coding using shape-adaptive wavelets

  • Authors:

  • Matthieu Maitre;Minh N. Do

  • Affiliations:

  • Windows Experience Group, Microsoft, Redmond, WA, USA;Department of Electrical and Computer Engineering, The Coordinated Science Laboratory, and the Beckman Institute, University of Illinois at Urbana-Champaign, Urbana IL, USA

  • Venue:
  • Journal of Visual Communication and Image Representation
  • Year:
  • 2010

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Abstract

We present a novel depth and depth-color codec aimed at free-viewpoint 3D-TV. The proposed codec uses a shape-adaptive wavelet transform and an explicit encoding of the locations of major depth edges. Unlike the standard wavelet transform, the shape-adaptive transform generates small wavelet coefficients along depth edges, which greatly reduces the bits required to represent the data. The wavelet transform is implemented by shape-adaptive lifting, which enables fast computations and perfect reconstruction. We derive a simple extension of typical boundary extrapolation methods for lifting schemes to obtain as many vanishing moments near boundaries as away from them. We also develop a novel rate-constrained edge detection algorithm, which integrates the idea of significance bitplanes into the Canny edge detector. Together with a simple chain code, it provides an efficient way to extract and encode edges. Experimental results on synthetic and real data confirm the effectiveness of the proposed codec, with PSNR gains of more than 5dB for depth images and significantly better visual quality for synthesized novel view images.