Joint encoding of the depth image based representation using shape-adaptive wavelets

Matthieu Maitre, Minh N. Do

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a novel codec of depth-image-based representations for free-viewpoint 3D-TV. The proposed codec relies on a shape-adaptive wavelet transform and an explicit representation of the locations of major depth edges. Unlike classical wavelet transforms, the shape-adaptive transform generates small wavelet coefficients along depth edges, which greatly reduces the data entropy. The codec also shares the edge information between the depth map and the image to reduce their correlation. The wavelet transform is implemented by shape-adaptive lifting, which enables fast computations and perfect reconstruction. Experimental results on real data confirm the superiority of the proposed codec, with PSNR gains of up to 5.46dB on the depth map and up to 0.19dB on the image compared to standard wavelet codecs.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages1768-1771
Number of pages4
DOIs
StatePublished - Dec 1 2008
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: Oct 12 2008Oct 15 2008

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2008 IEEE International Conference on Image Processing, ICIP 2008
CountryUnited States
CitySan Diego, CA
Period10/12/0810/15/08

Keywords

  • 3D-TV
  • Boundary wavelets
  • Edge coding
  • Joint coding
  • Lifting
  • Shape-adaptive wavelet transform

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Maitre, M., & Do, M. N. (2008). Joint encoding of the depth image based representation using shape-adaptive wavelets. In 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings (pp. 1768-1771). [4712118] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2008.4712118