Progressive transmission of pointtexture 3-D images

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

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 publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
Publication statusPublished - 2006 Dec 1
Event2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France
Duration: 2006 May 142006 May 19

Other

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

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Acoustics and Ultrasonics

Cite this

Song, I. W., Lee, S. U., & Kim, C-S. (2006). Progressive transmission of pointtexture 3-D images. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 2). [1660385]