Progressive compression of PointTexture images

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

doi:10.1117/12.532300

18 January 2004 Progressive compression of PointTexture images

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

Proceedings Volume 5308, Visual Communications and Image Processing 2004; (2004) https://doi.org/10.1117/12.532300
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

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.

Citation Download Citation

In-Wook Song, Chang-Su Kim, and Sang-Uk Lee "Progressive compression of PointTexture images", Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); https://doi.org/10.1117/12.532300

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