Infrared and visible image fusion is aims to generate a composite image that can
simultaneously describe the salient target in the infrared image and texture details in the …

Infrared and visible image fusion aims to obtain a synthetic image that can simultaneously
exhibit salient objects and provide abundant texture details. However, existing deep …

The fusion of infrared and visible images aims to generate a composite image that can
simultaneously contain the thermal radiation information of an infrared image and the …

Infrared and visible images are fused to obtain a high-quality visible image with salient
infrared targets that can be used in other vision tasks. The fusion strategy is a key to …

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 …

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 …

Deep learning has been successfully applied to infrared and visible image fusion due to its
powerful ability of feature representation. Existing most deep learning-based infrared and …

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

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 …

In this paper, an Adaptive Fusion Transformer (AFT) is proposed for unsupervised pixel-level
fusion of visible and infrared images. Different from the existing convolutional networks …