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Proceedings Paper

Infrared-visual image sequence fusion algorithm with noise suppression
Author(s): Xin Wang; Fu Liu; Youli Wei; Huantian Zhou
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Paper Abstract

Video sequence fusion has a high request on real-time. A new fusion method of infrared and visible video fusion is proposed, which has the characteristics of low computational complexity and noise suppression. Firstly the improved mixed frame difference method is used to achieve the separation of the infrared target areas and the background areas. Secondly the new fusion algorithm is proposed to fuse the target areas of the infrared and visible light sequence. By image smoothness operator , the source images are divided into two parts: the edge region and the smooth region. Different fusion strategies are adopted for the different regions, can highlight the image edges and texture details more accurately and remove redundant, as well as suppressing noise. Finally, the fused target areas are combined with the background area of the visible light sequence to form the final fused image, which can avoid the high background noise of infrared sequence. The experimental results show that the proposed method not only can suppress noise effectively ,but also can acquire good fusion effects as well as achieve the real time need.

Paper Details

Date Published: 11 September 2013
PDF: 7 pages
Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 89075C (11 September 2013); doi: 10.1117/12.2035003
Show Author Affiliations
Xin Wang, Changchun Univ. of Technology (China)
Jilin Univ. (China)
Fu Liu, Jilin Univ. (China)
Youli Wei, Changchun Univ. of Technology (China)
Huantian Zhou, Changchun Univ. of Technology (China)

Published in SPIE Proceedings Vol. 8907:
International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications
Haimei Gong; Zelin Shi; Qian Chen; Jin Lu, Editor(s)

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