Multiple imaging modalities can be combined to provide more information about the real
world than a single modality alone. Infrared images discriminate targets with respect to their …

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 …

The image fusion methods based on deep learning has become a research hotspot in the
field of computer vision in recent years. This paper reviews these methods from five aspects …

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

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 …

Multi-modal medical image fusion (MMIF) has found wide application in the field of disease
diagnosis and surgical guidance. Despite the popularity of deep learning (DL)-based fusion …

Infrared small-target detection has widespread influences on anti-missile warning, precise
weapon guidance, infrared stealth and anti-stealth, military reconnaissance, and other …

Fusing infrared and visible images taken by an unmanned aerial vehicle (UAV) is a
challenging task, since infrared images distinguish the target from the background by the …

Detection of small moving objects in long range infrared (IR) videos is challenging due to
background clutter, air turbulence, and small target size. In this paper, we present two …

This study proposes an infrared and visible image fusion method based on contrast saliency
information guided, termed CSFusion. On the one hand, the gradual recovery network is …