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Proceedings Paper

Progressive compression of PointTexture images
Author(s): In-Wook Song; Chang-Su Kim; Sang-Uk Lee
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Paper Abstract

In this paper, we develop a tree-structured predictive partial matching (PPM) scheme for progressive compression of PointTexture images. By incorporating PPM with tree-structured coding, the proposed algorithm can compress 3D depth information progressively into a single bitstream. Also, the proposed algorithm compresses color information using a differential pulse coding modulation (DPCM) coder and interweaves the compressed depth and color information effciently. Thus, the decoder can reconstruct 3D models from the coarsest resolution to the highest resolution from a single bitstream. Simulation results demonstrate that the proposed algorithm provides much better compression performance than a universal Lempel-Ziv coder, WinZip.

Paper Details

Date Published: 18 January 2004
PDF: 10 pages
Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); doi: 10.1117/12.532300
Show Author Affiliations
In-Wook Song, Seoul National Univ. (South Korea)
Chang-Su Kim, Chinese Univ. of Hong Kong (China)
Sang-Uk Lee, Seoul National Univ. (South Korea)

Published in SPIE Proceedings Vol. 5308:
Visual Communications and Image Processing 2004
Sethuraman Panchanathan; Bhaskaran Vasudev, Editor(s)

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