Most image fusion methods currently achieve satisfactory results under normal conditions.
However, in complex scenes, the problem of information conflict between source images …

In recent years, deep learning research has received significant attention in the field of
infrared and visible image fusion. However, the issue of designing loss functions in deep …

Infrared and visible image fusion aims to generate a single fused image, which not only
contains rich texture details, but also beneficial for high-level vision tasks. However, the …

The image fusion community is thriving with the wave of deep learning, and the most
popular fusion methods are usually built upon well-designed network structures. However …

Infrared and visible image fusion represents a significant segment within the image fusion
domain. The recent surge in image processing hardware advancements, including GPUs …

Infrared and visible image fusion (IVIF) aims to integrate information captured by optical
sensors operating in two different modalities, generating a fused image with both salient …

The fusion technology, combining infrared and visible modes, has the potential to enhance
the semantic content of backgrounds, thereby improving scene interpretability. However …

Infrared and visible image fusion is an important image enhancement technology, aiming to
generate high-quality fused images with prominent targets and rich textures in extreme …

Fabric defect detection is a crucial aspect of quality control in the textile industry. Given the
complexities of fabric backgrounds, the high similarity between patterned backgrounds and …

In the task of infrared and visible image fusion, source images often exhibit complex and
variable characteristics due to scene illumination. To address the challenges posed by …