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Proceedings Paper

Feature-level image fusion technique based on wavelet transform
Author(s): Zhigang Fan; Songling Fu; Runshun Li; Baojun Zuo
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Paper Abstract

The character of MRA (Multi-resolution Analysis) of wavelet transform can make the image be divided into different frequency spaces, so the image information in different frequency spaces can be processed and the features of the original image can be controlled. Wavelet transform is used widely in image compressing, edge detecting, noise filtering, image fusing etc. Based on Mallat fast algorithm in this paper, the noise of the image is filtered with threshold method after decomposing. Then the weighing operator and the comparing operator are applied for the image reconstructing, and feature-level image fusing is accomplished in practice. In contrast, it is better than the effect of other methods.

Paper Details

Date Published: 20 September 2002
PDF: 4 pages
Proc. SPIE 4919, Advanced Materials and Devices for Sensing and Imaging, (20 September 2002); doi: 10.1117/12.470952
Show Author Affiliations
Zhigang Fan, Harbin Institute of Technology (China)
Songling Fu, Harbin Institute of Technology (China)
Runshun Li, Harbin Institute of Technology (China)
Baojun Zuo, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 4919:
Advanced Materials and Devices for Sensing and Imaging
Jianquan Yao; Yukihiro Ishii, Editor(s)

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