多小波是小波理论的扩展，在图像处理方面具有单小波所不具有的优点。它能够为图像提供一种比小波多分辨分析更加精确的分析方法。在研究了多小波变换的特性后，提出了一种基于离散多小波变换的图像融合方法，并将由不同传感器获得的不同分辨率的遥感图像数据利用此方法进行了融合。这种方法不仅能够完好地显示源图像各自的信息，而且能很好地将源图像的细节融合在一起。通过实验结果证明，采用这种方法可以得到更好的融合效果。

Multiwavelet is an extension from wavelet theory, and has several particular advantages in comparison with scalar wavelets on image processing. Multiwavelet analysis can offer a more precise way for image analysis than wavelet multi-resolution analysis. In this paper, we research the characteristics of multiwavelet and give a fusion method by means of discrete multiwavelet transform. In the experiment, we have obtained the fused picture through merging a pair of remote sensing images with the different resolution of the same district by applying this image fusion method. Comparing with other fused images and evaluating them in way of objective and subjective performance, we can draw the conclusion that this method can fuse details of input images successfully, and it can perfectly display information of the each input image, therefore using this image fusion method can get more satisfactory result than using others.