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Proceedings Paper

Real-time implementation of visible and infrared image fusion and new measure based on spectral information
Author(s): Yhui Yuan; Benkang Chang; Junju Zhang; Si Tian; Yiyong Han
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Paper Abstract

The image fusion system has the benefit of having simultaneous multi-spectral data available to the user. In this paper, we describe how to implement real-time fusion of visible and infrared image in a hardware system. In this system, we use a CCD detector and a uncooled microbolometer focal plane arrays as the imaging detector. Image registration and image fusion algorithm based on weighted pixel average is realized in real-time image processor. With experiment images, analysis of reflectance and radiation characters of objects in image is given then, on the base of which we get the spectrum distribution of some objects in fusion image. It leads to a study on a new measure of spectral information of image. A definition of spectral information quality is given for the first time and a formula is discussed. We can get the conclusion that: Measure on spectral information quality is significative in image fusion. The ultimate reason for increase of information in fusion image is the increase of spectral information.

Paper Details

Date Published: 5 August 2009
PDF: 7 pages
Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 73830S (5 August 2009); doi: 10.1117/12.835548
Show Author Affiliations
Yhui Yuan, Nanjing Univ. of Science and Technology (China)
Benkang Chang, Nanjing Univ. of Science and Technology (China)
Junju Zhang, Nanjing Univ. of Science and Technology (China)
Si Tian, Nanjing Univ. of Science and Technology (China)
Yiyong Han, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7383:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications
Jeffery Puschell; Hai-mei Gong; Yi Cai; Jin Lu; Jin-dong Fei, Editor(s)

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