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 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 …

Medical image fusion is a technique that maps information from multiple image modalities
into a single image. In past, several multimodal fusion approaches were developed by …

Infrared and visible image fusion can synthesize complementary features of salient objects
and texture details which are important for all-weather detection and other tasks. Nowadays …

Infrared and visible image fusion aims to generate an image with prominent target
information and abundant texture details. Most existing methods generally rely on manually …

Smart vehicles with embedded Autonomous Vehicle (AV) technologies are currently
equipped with different types of mounted sensors, aiming to ensure safe movement for both …

The multi-modality image fusion goal is to create a single image that provides a
comprehensive scene description and conforms to visual perception by integrating …

Image fusion is the fusion of multiple images from the same scene to produce a more
informative image, and infrared and visible image fusion is an important branch of image …

In night driving scenes, high beams often overexpose visible images, which will cause the
failure of many visual intelligence algorithms. The fusion of infrared and visible images can …