Image fusion based on local deviation and high-pass filtering of wavelet transform

Jianping Pan; Jianya Gong; Jun Lu; Huanzhuo Ye; Xiaoling Chen; Jielong Yang

doi:10.1117/12.569693

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30 December 2004 Image fusion based on local deviation and high-pass filtering of wavelet transform

Jianping Pan, Jianya Gong, Jun Lu, Huanzhuo Ye, Xiaoling Chen, Jielong Yang

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Proceedings Volume 5660, Instruments, Science, and Methods for Geospace and Planetary Remote Sensing; (2004) https://doi.org/10.1117/12.569693
Event: Fourth International Asia-Pacific Environmental Remote Sensing Symposium 2004: Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2004, Honolulu, Hawai'i, United States

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.

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Jianping Pan, Jianya Gong, Jun Lu, Huanzhuo Ye, Xiaoling Chen, and Jielong Yang "Image fusion based on local deviation and high-pass filtering of wavelet transform", Proc. SPIE 5660, Instruments, Science, and Methods for Geospace and Planetary Remote Sensing, (30 December 2004); https://doi.org/10.1117/12.569693

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