Multiwavelet is an extension from wavelet theory, and has several particular advantages in comparison with scalar wavelets on image processing. So after researching the characteristics of multiwavelet it gave a fusion method based on multiwavelet, and the detailed progresses are as follows: firstly did thorough research on images`multiwavelet transform, then set up multiwavelet fusion algorithms and compared with wavelet fusion algorithms to show multiwavelet`s superiority. Compared the fusion results among GHM, CL and Smooth multiwavelet and showed different multiwavelets have effects on results. Ameliorated the algorithm and brought forward gradient addition method which made results more better. Since IHS method is better in conventional methods and the IHS and RGB mode both have advantages, brought forward IHS multiwavelet algorithm in comparison with RGB multiwavelet algorithm. Theresults are distinct.
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，所以在研究了多小波变换的特性后，提出了基于多小波变换的遥感图像融合方法，详细的过程如下：首先对图像的多小波变换深入研究；进而建立基于多小波的遥感图像融合算法，与基于单小波的融合算法进行比较，显示了其优势；同时在实验中对GHM、CL和Smooth三种多小波的融合效果进行比较，说明了选择不同的多小波对实验结果有影响；对提出的多小波算法进行改进，提出了区域梯度加权的方法，该算法与多小波变换结合使融合效果有了进一步的改善；针对传统融合算法中，IHS法的效果较好，并且IHS和RGB两种模式各有优缺点，提出了多小波与IHS法相结合的算法，并与在模式RGB中的多小波算法进行实验比较，实验效果清楚。