Chinese Optics Letters, 2004, 2 (3): 03144, Published Online: Jun. 6, 2006
A united optimum images fusion based on analysis of color distortion Download: 563次
110.2960 image analysis 110.3000 image quality assessment 110.2990 image formation theory 280.4750 optical processing of radar images
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.
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.