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Proceedings Paper

Texture image compression and restoration for 3D visualization of urban buildings
Author(s): Yucai Xue; Zuxun Zhang; Jianqing Zhang
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Paper 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.

Paper Details

Date Published: 25 September 2001
PDF: 6 pages
Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); doi: 10.1117/12.441601
Show Author Affiliations
Yucai Xue, Wuhan Univ. (China)
Zuxun Zhang, Wuhan Univ. (China)
Jianqing Zhang, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 4553:
Visualization and Optimization Techniques
Yair Censor; Mingyue Ding, Editor(s)

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