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A united optimum images fusion based on analysis of color distortion
作者姓名:肖刚  敬忠良  李建勋  Henry Leung
作者单位:School of Electronics and Information Technology,Shanghai Jiaotong University,Shanghai 200030,School of Electronics and Information Technology,Shanghai Jiaotong University,Shanghai 200030,School of Electronics and Information Technology,Shanghai Jiaotong University,Shanghai 200030,Department of Electrical and Computer Engineering,University of Calgary,Alberta,Canada
基金项目:This work was jointly supported by the National Natural Science Foundation of China (No. 60375008), China National '863' Project (No. 2001AA135091), Shanghai Key Scientific Project (No. 02DZ15001), Aviation Science Foundation (No. 02D57003), and China Ph
摘    要: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

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