A NOVEL IMAGE FUSION ALGORITHM BASED ON 2D EMD AND IHS

摘要：

The fusion of multispcctral (MS) and panchromatic (PAN) images is a useful technique to enhance the spatial quality of low-resolution MS images. The standard data fusion methods may not be satisfactory because they can alter spectral information content. In this paper, we present a new method by combining 2D EMD (two dimensional empirical mode decomposition) with IHS (Intensity-Hue-Saturation). Empirical mode decomposition (EMD) catches people(亻愚) attention for analyzing the nonstationary signals adaptively. To get better deposition results we present a modified two dimensional EMD algorithm using the Fast Radical Basis Function (FastRBF). Then we illustrate a novel image fusion algorithm based on IHS and two dimensional EMD fusion techniques. This new method combines the high frequency IMFs (intrinsic mode functions) of panchromatic image with the residual component of the intensity image. Experiments show that the new method has improved quality compared with those obtained by standard IHS, Brovey and IHS discrete wavelet transform.

关键词： Image fusion 2D EMD FastRBF IHS

作者: LI-HONG QIAO LI-ZHONG PENG WEI GUO WEI-TAO YUAN

作者单位: College of Mathematics and Information Sciences, Hebei Normal University, Shijiazhuang050016, China School of Mathematical Sciences, Beijing University,Beijingl00871, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 4040-4044

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）