The images acquired by a single visible light sensor are very susceptible to light conditions,
weather changes, and other factors, while the images acquired by a single infrared light …

Infrared images can distinguish targets from their backgrounds based on the radiation
difference, which works well in all-weather and all-day/night conditions. By contrast, visible …

Infrared and visible image fusion combines the infrared thermal radiation information and
visible detail information. The image fusion technique has facilitated development in …

The goal of infrared and visible image fusion is to generate an informative image which
preserves texture details and infrared targets. Most generative adversarial network (GAN) …

The current constraint rules of end-to-end infrared and visible image fusion (IVIF) networks
based on deep learning solely focus on the pixel level, disregarding the consideration of …

Because infrared images emphasize thermal targets while visible images provide a wealth
of textural information, fusing the two modal images improves the human perception of the …

Computational imaging plays an important role in medical treatment for providing more
comprehensive medical images. This work proposes a new scheme to fuse computed …

The GAN-based infrared and visible image fusion methods have gained ever-increasing
attention due to its effectiveness and superiority. However, the existing methods adopt the …

Most traditional infrared and visible image fusion methods often ignore weak texture details,
especially for the low-light visible images in which the weak details are easily drowned due …

We propose an infrared and visible image fusion method based on an iterative differential
thermal information filter to generate a fusion image with the salient thermal targets of the …