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 …

Multi-focus image fusion (MFIF) is an important area in image processing. Since 2017, deep
learning has been introduced to the field of MFIF and various methods have been proposed …

Infrared and visible image fusion aims to utilize the complementary information between the
two modalities to synthesize a new image containing richer information. Most existing works …

Visible and infrared image fusion is an important area in image processing due to its
numerous applications. While much progress has been made in recent years with efforts on …

Multi-exposure image fusion (MEF) is an important area in computer vision and has attracted
increasing interests in recent years. Apart from conventional algorithms, deep learning …

In this paper, we propose a deep-learning-based infrared-visible images fusion method
based on encoder-decoder architecture. The image fusion task is reformulated as a problem …

Medical imaging plays a vital role in medical diagnosis and clinical treatment. The biggest
challenge in the medical field is the correct identification of disease and better treatment …

Medical image fusion technique combines images from different imaging modalities to
enhance the reliability and accuracy of the medical diagnoses that play an increasingly …

Infrared and visible image fusion aim to obtain a fused image with salient targets and
preserve abundant texture detail information as much as possible, which can potentially …

Infrared and visible image fusion technology aims to integrate the heat source information of
infrared image into the visible image to generate a more informative image. Many fusion …