Progressive compression and transmission of PointTexture images

In Wook Song, Chang-Su Kim, Sang Uk Lee

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)

    Abstract

    A progressive compression and transmission algorithm for PointTexture 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 two transmission schemes, based on the rate-distortion (R-D) optimization and the view-dependent optimization respectively, 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
    Pages (from-to)1090-1107
    Number of pages18
    JournalJournal of Visual Communication and Image Representation
    Volume17
    Issue number5
    DOIs
    Publication statusPublished - 2006 Oct

    Bibliographical note

    Funding Information:
    This work was supported partly by Samsung Advanced Institute of Technology, partly by a Korea University Grant, and partly by the Ministry of Information and Communications, Korea, under the Information Technology Research Center (ITRC) support program.

    Keywords

    • 3D image coding
    • MPEG-4
    • PointTexture
    • Rate-distortion optimization
    • View-dependent optimization

    ASJC Scopus subject areas

    • Signal Processing
    • Media Technology
    • Computer Vision and Pattern Recognition
    • Electrical and Electronic Engineering

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