Visible and infrared image fusion (VIF) has attracted a lot of interest in recent years due to its
application in many tasks, such as object detection, object tracking, scene segmentation …

Infrared image retains typical thermal targets while visible image preserves rich texture
details, image fusion aims to reconstruct a synthesized image containing prominent targets …

In this paper, we propose a multistage fusion network to solve the infrared and visible image
fusion (IVIF) problem. Unlike other deep learning methods, our network architecture is …

Recently, the rapid development of the Internet of Things has contributed to the generation
of telemedicine. However, online diagnoses by doctors require the analyses of multiple multi …

In this paper, we propose an unsupervised learning approach for the task of infrared and
visible image fusion. This approach is called a distinctive-feature guided and hierarchical …

Because thermal infrared sport targets have rich and complex semantic information, there is
a high coupling between different types of features. In view of these limitations, we propose …

Image fusion technology can integrate visible and infrared thermal image from different
sensors and retain the feature data and complementary information in fused images …

In recent decades, with the rapid development of image sensor technology, image
acquisition has gradually evolved from a single sensor mode to a multi-sensor mode. The …

Visible and infrared image fusion (VIF) for obtaining foreground salient information has
strong application potential and made substantial progress based on deep neural networks …

Computational intelligence techniques are traditionally adopted in several different
application domains such as industry, healthcare, decision making, and gaming, to name …