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 …

Abstract Generative Adversarial Network (GAN) is a research hotspot in deep generative
models, which has been widely used in the field of medical image fusion. This paper …

In this paper, we proposed a new end-to-end model, termed as dual-discriminator
conditional generative adversarial network (DDcGAN), for fusing infrared and visible images …

Existing image fusion methods always use the same representations for different modal
medical images. Otherwise, they solve the fusion problem by subjectively defining …

Deep learning has been successfully applied to infrared and visible image fusion due to its
powerful ability of feature representation. Existing most deep learning-based infrared and …

Infrared and visible image fusion aims to describe the same scene from different aspects by
combining complementary information of multi-modality images. The existing Generative …

In image fusion, images obtained from different sensors are fused to generate a single
image with enhanced information. In recent years, state-of-the-art methods have adopted …

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 …

Information fusion is capable of fusing and transforming information originated from multiple
sources into an integrated representation. As an important representative of information …