基于非采样提升小波-Contourlet变换的图像融合算法

Image fusion algorithm based on nonsubsampled lifting wavelet-Contourlet transform

为克服非采样Contourlet变换中金字塔分解的不足,首先在提升小波变换的基础上,通过取消其奇偶分裂环节得到具有平移不变性的非采样提升小波变换,然后用此变换来取代非采样Contourlet变换中的金字塔分解,得到新的非采样提升小波-Contourlet变换。将此变换与一定的融合规则相结合,提出了一种基于非采样提升小波-Contourlet变换的图像融合算法。实验表明,该算法相对于非采样Contourlet变换能从源图像中提取更多有用信息注入到融合图像中,可得到更高性能的融合图像。

In order to overcome the drawbacks of pyramid decompose of nonsubsampled Contourlet transform, a novel image fusion method is proposed. This method first cancells the odd and even split process of lifting wavelet transform and obtains the nonsubsampled lifting wavelet transform which has the trait of shift invariance. Then the pyramid decompose of nonsubsampied is taken place by the newly obtained transform. Unifying this new transform with a certain fusion rule, a novel algorithm of image fusion based on the nonsubsampled lifting wavelet-Contourlet transform is obtained. Experimental results show that the new algorithm, compared with the nonsuhsampled Contourlet transform method, can extract more useful infomation from the .,source image and pour the information into the fusion image, thus obtain a better performed fusion image.