25 September 2001 Texture image compression and restoration for 3D visualization of urban buildings
Author Affiliations +
Proceedings Volume 4553, Visualization and Optimization Techniques; (2001) https://doi.org/10.1117/12.441601
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
The target of the research is the image compression and restoration of the texture surface of the buildings for 3-D visualization of cities in this paper. A new method based on texture segmentation and the texture's self-similitude is introduced. The character of the method is that it can remove the interference from the source image, which was obtained in the nature environment, and realize image compression in the same time. The method takes advantage of achieving higher compression ratio than other conventional compression methods, and the algorithm is fast enough to satisfy the 3D reconstruction's need. The restoration image's vision effect is true to nature as a whole. The method is more suitable for the wall texture image compression and restoration of 3D visualization in cities than other traditional compression methods.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yucai Xue, Yucai Xue, Zuxun Zhang, Zuxun Zhang, Jianqing Zhang, Jianqing Zhang, "Texture image compression and restoration for 3D visualization of urban buildings", Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); doi: 10.1117/12.441601; https://doi.org/10.1117/12.441601
PROCEEDINGS
6 PAGES


SHARE
RELATED CONTENT

Visual pattern image sequence coding
Proceedings of SPIE (August 31 1990)
Fast Image Coding Using Simple Image Patterns
Proceedings of SPIE (October 31 1989)
4D image processing in microscopy by combined methods
Proceedings of SPIE (May 01 2000)
Nonuniform visual pattern image sequence coding
Proceedings of SPIE (May 31 1991)
JPEG quantizer optimization for financial document images
Proceedings of SPIE (September 30 1998)

Back to Top