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 …

Abstract RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent
years. In the past decade, it has received wide attention and made a lot of important …

Deep learning based fusion methods have been achieving promising performance in image
fusion tasks. This is attributed to the network architecture that plays a very important role in …

Fusing infrared and visible images can provide more texture details for subsequent object
detection task. Conversely, detection task furnishes object semantic information to improve …

Infrared and visible image fusion has gradually proved to be a vital fork in the field of multi-
modality imaging technologies. In recent developments, researchers not only focus on the …

In this paper, a new infrared and visible image fusion method based on saliency detection
and LatLRR-FPDE is proposed to ensure the saliency of the fused target and improve the …

Image fusion aims to acquire a more complete image representation within a limited
physical space to more effectively support practical vision applications. Although the …

The current constraint rules of end-to-end infrared and visible image fusion (IVIF) networks
based on deep learning solely focus on the pixel level, disregarding the consideration of …

Existing infrared and visible image fusion methods suffer from edge information loss, artifact
introduction, and image distortion. Therefore, a dual-branch network model based on the …

Infrared and visible image fusion aims at generating a fused image containing the intensity
and detail information of source images, and the key issue is effectively measuring and …