基于 Trous-contourlet变换的红外与可见光图像融合算法

Algorithm of Infrared and Visible Image Fusions Based on  Trous-contourlet Transform

提出了一种基于à trous-contourlet变换的图像融合新算法。首先利用à trous-contourlet变换对图像进行多分辨率分解,然后针对变换域中各带通方向高频子带系数的选择,提出了一种应用区域能量进行图像匹配度计算的融合规则,并将其应用于红外图像与可见光图像的融合。实验结果表明,该算法能够有效融合红外与可见光图像,与其他方法相比较,取得了更好的融合效果。

A novel image fusion algorithm based on à trous-contourlet transform was proposed. Firstly, image was decomposed with multi-resolution using à trous-contourlet transform, and then in the transfer domain, a selection principle with the varieties of directional bandpass subband coefficients based on matching calculate of regional energy was developed, which was used in image fusion for infrared and visible images. Compared with other methods, the results of experiment show that the proposed algorithm is valid to fusion infrared and visible images, and acquired better results.