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Proceedings Paper

Image fusion based on local deviation and high-pass filtering of wavelet transform
Author(s): Jianping Pan; Jianya Gong; Jun Lu; Huanzhuo Ye; Xiaoling Chen; Jielong Yang
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Paper Abstract

Image fusion is an important content for digital image processing. For the past research, the method would be good at either the low frequency information or the high frequency information. For example, the fusion method based on high-pass filter of wavelet transform (HPFWT) is good at retaining detail information, and the method based on local deviation of wavelet transform (LDWT) is specialize in preserving multi-spectral information. It would be great if the two methods are combined. Therefore, the paper combines local deviation and high-pass filter to fuse image. The result indicates that this method can improve the detail information comparing with LDWT, enhance the spectral information comparing with HPFWT.

Paper Details

Date Published: 30 December 2004
PDF: 8 pages
Proc. SPIE 5660, Instruments, Science, and Methods for Geospace and Planetary Remote Sensing, (30 December 2004); doi: 10.1117/12.569693
Show Author Affiliations
Jianping Pan, Wuhan Univ. (China)
Jianya Gong, Wuhan Univ. (China)
Jun Lu, Industrial and Commercial Bank of China/Chongqing Branch (China)
Huanzhuo Ye, Wuhan Univ. (China)
Xiaoling Chen, Wuhan Univ. (China)
Jielong Yang, Peking Univ. (China)


Published in SPIE Proceedings Vol. 5660:
Instruments, Science, and Methods for Geospace and Planetary Remote Sensing
Carl A. Nardell; Paul G. Lucey; Jeng-Hwa Yee; James B. Garvin, Editor(s)

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