A united optimum images fusion based on analysis of color distortion
Chinese Optics Letters, Vol. 2, Issue 3, pp. 144-147 (2004)
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Abstract
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.
© 2005 Chinese Optics Letters
OCIS Codes
(110.2960) Imaging systems : Image analysis
(110.2990) Imaging systems : Image formation theory
(110.3000) Imaging systems : Image quality assessment
(280.4750) Remote sensing and sensors : Optical processing of radar images
Citation
Gang Xiao, Zhongliang Jing, Jianxun Li, and Henry Leung, "A united optimum images fusion based on analysis of color distortion," Chin. Opt. Lett. 2, 144-147 (2004)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-2-3-144
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