Infrared and visible image fusion aims to synthesize a single fused image that not only
contains salient targets and abundant texture details but also facilitates high-level vision …

Infrared and visible image fusion aims to synthesize a single fused image containing salient
targets and abundant texture details even under extreme illumination conditions. However …

Image fusion has been received much attentions in recent years. However, solving both
noise-free image fusion and noise-perturbed image fusion problems remains a big …

The properties like pulse synchronization of neurons and global coupling greatly motivated
researchers to apply pulse coupled neural network (PCNN) models in accomplishing image …

Infrared and visible image fusion aims to integrate complementary information from different
types of images into one image. The existing image fusion methods are primarily based on …

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 …

Infrared and visible image fusion, which highlights radiometric and detailed texture
information and completely and accurately describes objects, is a long-standing and well …

The multi-exposure fusion (MEF) methods have received much attention in recent years due
to the importance of constructing high dynamic range images. Among most of the existing …

Infrared and visible images captured by different devices can be seamlessly integrated into
a single composite image through the application of image fusion techniques. However …

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 …