Portal de Periódicos da CAPES

Progressive compression of PointTexture images

2004; SPIE; Volume: 5308; Linguagem: Inglês

10.1117/12.532300

1996-756X

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

Computer Graphics and Visualization Techniques

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.