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 language | English |
|---|---|
| Pages (from-to) | 1090-1107 |
| Number of pages | 18 |
| Journal | Journal of Visual Communication and Image Representation |
| Volume | 17 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2006 Oct |
Bibliographical note
Funding Information:This work was supported partly by Samsung Advanced Institute of Technology, partly by a Korea University Grant, and partly by the Ministry of Information and Communications, Korea, under the Information Technology Research Center (ITRC) support program.
Keywords
- 3D image coding
- MPEG-4
- PointTexture
- Rate-distortion optimization
- View-dependent optimization
ASJC Scopus subject areas
- Signal Processing
- Media Technology
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering