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)


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
Issue number5
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.


  • 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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