Infrared and visible image fusion aims to generate the desired fusion image by fusing complementary images from different sensors. Artificially generated images are more appropriate for human visual perception or further image-processing tasks. Although a variety of infrared and visible image fusion methods have been proposed in recent years, the degradation of the intermediate features and the loss of details in the network are still difficult to solve, resulting in the loss of details and generation of artifacts in the fused images. In this p...
