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Progressive transmission of pointtexture 3-D images

  • In Wook Song*
  • , Sang Uk Lee
  • , Chang-Su Kim
  • *Corresponding author for this work

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

    Abstract

    A progressive compression and transmission algorithm for Point-Texture 3-D images is proposed in this work. The proposed algorithm represents a PointTexture image hierarchically using an octree. The geometry information in octree nodes is encoded by the predictive partial matching (PPM) method, while the color information is encoded using the discrete cosine transform (DCT). The encoder achieves the progressive transmission of the 3-D image by transmitting the octree nodes in a top-down manner. We develop a transmission scheme, based on the rate-distortion (R-D) optimization in order to maximize the image quality subject to a given bit budget. Extensive simulation results demonstrate that the proposed algorithm is an efficient method for progressive transmission of 3-D data.

    Original languageEnglish
    Title of host publication2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
    PagesII485-II488
    Publication statusPublished - 2006
    Event2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France
    Duration: 2006 May 142006 May 19

    Publication series

    NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    Volume2
    ISSN (Print)1520-6149

    Other

    Other2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
    Country/TerritoryFrance
    CityToulouse
    Period06/5/1406/5/19

    ASJC Scopus subject areas

    • Software
    • Signal Processing
    • Electrical and Electronic Engineering

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