A VGG-based fusion method (named VMDM-Fusion) that employs multiple decision maps is proposed to fuse infrared and visible images. Our method first feeds the infrared and visible images into a pre-trained model of VGG-16 to extract the features. Then, a feature representation method we designed uses these features to construct saliency maps. Next, these maps, in combination with a guided filter, are used to construct multiple decision maps. Lastly, the final fused image is obtained by weighting the source images based on the multiple decision maps. This is the first time a decision map is introduced in the field of infrared and visible image fusion. The experimental results demonstrate that the proposed method outperforms state-of-the-art infrared and visible image fusion methods.

中文翻译：

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VMDM-fusion：一种用于红外和可见光图像融合的显着特征表示方法

提出了一种采用多个决策图的基于 VGG 的融合方法（名为 VMDM-Fusion）来融合红外和可见光图像。我们的方法首先将红外和可见光图像输入到 VGG-16 的预训练模型中以提取特征。然后，我们设计的特征表示方法使用这些特征来构建显着图。接下来，这些地图与引导过滤器相结合，用于构建多个决策地图。最后，通过基于多个决策图对源图像进行加权获得最终的融合图像。这是第一次在红外和可见光图像融合领域引入决策图。实验结果表明，所提出的方法优于最先进的红外和可见光图像融合方法。