Chinese Optics Letters, Volume. 2, Issue 3, 03144(2004)
A united optimum images fusion based on analysis of color distortion
In remote sensing community, IHS (intensity, hue, and saturation) transform is one of the most commonly used fusion algorithm. A study on IHS fusion indicates that the color distortion cannot be avoided. Meanwhile, wavelet decomposition has a property of frequency division in transform domain. And the statistical property of wavelet coefficient reflects those significant features. So, a united optimal fusion method, which using the statistical property of wavelet decomposition and IHS transform on pixel and feature levels, is proposed. That is, the high frequency of intensity component I is fused on feature level with multi-resolution wavelet in IHS space, and the low frequency of intensity component I is fused on pixel level with optimal weight coefficients. Spectral information and spatial resolution are two performance indexes of optimal weight coefficients. Experiment results show that it is a practical and effective method.
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Gang Xiao, Zhongliang Jing, Jianxun Li, Henry Leung. A united optimum images fusion based on analysis of color distortion[J]. Chinese Optics Letters, 2004, 2(3): 03144