摘要
High resolution image fusion is a significant focus in the field of image processing. A new image fusion model is presented based on the characteristic level of empirical mode decomposition （EMD）. The intensity hue saturation （IHS） transform of the multi-spectral image first gives the intensity image. Thereafter, the 2D EMD in terms of row-column extension of the 1D EMD model is used to decompose the detailed scale image and coarse scale image from the high-resolution band image and the intensity image. Finally, a fused intensity image is obtained by reconstruction with high frequency of the high-resolution image and low frequency of the intensity image and IHS inverse transform result in the fused image. After presenting the EMD principle, a multi-scale decomposition and reconstruction algorithm of 2D EMD is defined and a fusion technique scheme is advanced based on EMD. Panchromatic band and multi-spectral band 3,2,1 of Quickbird are used to assess the quality of the fusion algorithm. After selecting the appropriate intrinsic mode function （IMF） for the merger on the basis of EMD analysis on specific row （column） pixel gray value series, the fusion scheme gives a fused image, which is compared with generally used fusion algorithms （wavelet, IHS, Brovey）. The objectives of image fusion include enhancing the visibility of the image and improving the spatial resolution and the spectral information of the original images. To assess quality of an image after fusion, information entropy and standard deviation are applied to assess spatial details of the fused images and correlation coefficient, bias index and warping degree for measuring distortion between the original image and fused image in terms of spectral information. For the proposed fusion algorithm, better results are obtained when EMD algorithm is used to perform the fusion experience.
高分辨率图象熔化是图象处理的域里的一个重要焦点。一个新图象熔化模型基于实验模式分解(EMD ) 的典型水平被介绍。多光谱的图象的紧张色彩浸透(代表耶稣之符号) 变换首先给紧张图象。此后，以 ID 的排列扩展， EMD 建模的 2D EMD 被用来从高分辨率的乐队图象和紧张图象分解详细规模图象和粗糙的规模图象。最后，一幅熔化紧张图象被重建在熔化图象与高分辨率的图象的高频率和紧张图象和代表耶稣之符号反的变换结果的低频率获得。在介绍 EMD 原则以后， 2D EMD 的一个多尺度的分解和重建算法被定义，一个熔化技术计划基于 EMD 是先进的。全色的乐队和多光谱的乐队 3,2,1 Quickbird 被用来估计熔化算法的质量。在在特定的排(列) 上根据 EMD 分析为兼并选择适当内在的模式函数(IMF ) 以后，象素灰色珍视系列，熔化计划给一幅熔化图象，它与通常使用的熔化算法相比(小浪，代表耶稣之符号， Brovey ) 。图象熔化的目的包括提高图象的可见性并且改进空间分辨率并且光谱原来的图象的信息。为了估计一幅图象的质量，在熔化，信息熵和标准差被使用估计熔化图象和相关系数的空间细节以后，为测量在原来的图象和熔化图象之间的失真以偏导索引和变弯的度光谱信息。为建议熔化算法，当 EMD 算法被用来执行熔化经验时，更好的结果被获得。
