Recent advances in deep networks have gained great attention in infrared and visible image
fusion (IVIF). Nevertheless, most existing methods are incapable of dealing with slight …

A single infrared image or visible image cannot clearly present texture details and infrared
information of the scene in poor illumination, bad weather, or other complex conditions …

Image fusion integrates a series of images acquired from different sensors, eg, infrared and
visible, outputting an image with richer information than either one. Traditional and recent …

Infrared and visible image fusion, a hot topic in the field of image processing, aims at
obtaining fused images keeping the advantages of source images. This paper proposes a …

In image fusion approaches, feature extraction and processing are key tasks, and the fusion
performance is directly affected by the different features and processing methods …

Translational displacement between source images from different sensors is a general
phenomenon, which will cause performance degradation on image fusion. To tackle this …

This study proposes a novel unified and unsupervised end-to-end image fusion network,
termed as U2Fusion, which is capable of solving different fusion problems, including multi …

General image fusion aims at integrating important information from multi-source images.
However due to the significant cross-task gap the respective fusion mechanism varies …

Visible images provide abundant texture details and environmental information, while
infrared images benefit from night-time visibility and suppression of highly dynamic regions; …

Infrared and visible image fusion has gained ever-increasing attention in recent years due to
its great significance in a variety of vision-based applications. However, existing fusion …