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 …

Infrared and visible image fusion (IVIF) expects to obtain images that retain thermal radiation
information from infrared images and texture details from visible images. In this paper, a …

This paper presents a multimodal image fusion method using a novel decomposition model
based on coupled dictionary learning. The proposed method is general and can be used for …

Benefitting from the strong feature extraction capability of deep learning, infrared and visible
image fusion has made a great progress. Since infrared and visible images are obtained by …

Image fusion has been developing into an important area of research. In remote sensing, the
use of the same image sensor in different working modes, or different image sensors, can …

The key aim of Multi-focus Image Fusion (MFIF) is to gather all the necessary and useful
information as well as features from the source images and then merge that information to …

For the past few years, image fusion technology has made great progress, especially in
infrared and visible light image infusion. However, the fusion methods, based on traditional …

In this paper, a novel fusion network for infrared and visible images is proposed, named
Image Pair Learning Fusion Network (IPLF). At present, most of the released deep learning …

Vision-based pedestrian detection that can last all day is crucial in advanced driver-
assistance systems (ADAS), autonomous vehicles and video surveillance. Based on the fact …

General deep learning-based methods for infrared and visible image fusion rely on the
unsupervised mechanism for vital information retention by utilizing elaborately designed …