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Proceedings Paper

Multispectral night vision image fusion based on wavelet transform
Author(s): Shaoyuan Sun; Liping Wang; Baomin Zhang; Xiaodong Zhuang
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Paper Abstract

In the area of low light level (LLL) night vision, improving the LLL image quality has received more and more attentions. In this paper, we use the instantaneous laser (near infrared) assistant vision technology to obtain the laser assistant vision (LAV) image and realized the fusion of LLL image and LAV image using wavelet transform. The information feature of the two kinds of images is different because the spectrums they respond are different. In the fusion process, the images are first decomposed based on wavelet transform. We construct the multiresolution analysis of the fused image by considering the multiresolution contrast of the source images. The interested image features can be enhanced. At last the fused image is reconstructed by the inverse wavelet transform. The experiment results show that the fused image is better than any of the individual source images and the fusion of the LAV image and the LLL image can improve the image quality of LLL TV. This technology is meaningful for night vision.

Paper Details

Date Published: 18 September 2001
PDF: 6 pages
Proc. SPIE 4556, Data Mining and Applications, (18 September 2001); doi: 10.1117/12.440276
Show Author Affiliations
Shaoyuan Sun, Nanjing Univ. of Science and Technology (China)
Liping Wang, Nanjing Univ. of Science and Technology (China)
Baomin Zhang, Nanjing Univ. of Science and Technology (China)
Xiaodong Zhuang, Nanjing Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 4556:
Data Mining and Applications
Deren Li; Jie Yang; Jufu Feng; Shen Wei, Editor(s)

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