Multi-spectral image fusion method based on two channels non-separable wavelets |
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Authors: | Bin Liu JiaXiong Peng |
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Affiliation: | (1) School of Mathematics and Computer Science, Hubei University, Wuhan, 430062, China;(2) Key Laboratory of Applied Mathematics of Hubei Province, Wuhan, 430062, China;(3) Institute of Image Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, 430074, China |
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Abstract: | A construction method of two channels non-separable wavelets filter bank which dilation matrix is 1, 1; 1, −1] and its application
in the fusion of multi-spectral image are presented. Many 4×4 filter banks are designed. The multi-spectral image fusion algorithm
based on this kind of wavelet is proposed. Using this filter bank, multi-resolution wavelet decomposition of the intensity
of multi-spectral image and panchromatic image is performed, and the two low-frequency components of the intensity and the
panchromatic image are merged by using a tradeoff parameter. The experiment results show that this method is good in the preservation
of spectral quality and high spatial resolution information. Its performance in preserving spectral quality and high spatial
information is better than the fusion method based on DWFT and IHS. When the parameter t is closed to 1, the fused image can
obtain rich spectral information from the original MS image. The amount of computation reduced to only half of the fusion
method based on four channels wavelet transform.
Supported by the National Natural Science Foundation of China (Grant No. 10477007), the Natural Science Foundation of Hubei
Province (Grant No. 2006ABA015), and the Key Project of Hubei Provincial Department of Education (Grant No. D200510004) |
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Keywords: | image fusion non-separable wavelets multi-spectral image panchromatic image |
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