Share Email Print
cover

Proceedings Paper

Theory analysis and experiment study on the amount of information in a color night vision system
Author(s): Lianfa Bai; Weixian Qian; Yi Zhang; Baomin Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Single sensor night vision system has been developed for many years, but it still has many intrinsic limitations. For example, in a single channel imaging system the image contrast will be too low to distinguish different targets. As a new technique, multi-sensor image fusion color night vision is developed. This system can make up a single sensor's limitation and improve the system's performance. Depending on Sharmon's formula of the information theory, this paper describes the formula of the fusion image's amount of information and proves that multi-sensor image fusion technique is good at increasing amount of information. Then according to the information theory, the LLLCCD and IRFPA image fusion system is developed. The system's block diagram is given and described in detail in this paper. And the improved fusion algorithm is adopted which is especially good at this fusion system. At last the impersonal judgment of fusion effect is employed to analysis this system's performance and the practical image is given to show this system's good effect.

Paper Details

Date Published: 25 September 2003
PDF: 5 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538544
Show Author Affiliations
Lianfa Bai, Nanjing Univ. of Science and Technology (China)
Weixian Qian, Nanjing Univ. of Science and Technology (China)
Yi Zhang, Nanjing Univ. of Science and Technology (China)
Baomin Zhang, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top