Progressive compression and transmission of PointTexture images

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

Research output: Contribution to journalArticle

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 1

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Discrete cosine transforms
Image quality
Color
Geometry

Keywords

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

ASJC Scopus subject areas

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

Cite this

Progressive compression and transmission of PointTexture images. / Song, In Wook; Kim, Chang-Su; Lee, Sang Uk.

In: Journal of Visual Communication and Image Representation, Vol. 17, No. 5, 01.10.2006, p. 1090-1107.

Research output: Contribution to journalArticle

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