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 …

As the concept of Industries 5.0 develops, industrial metaverses are expected to operate in
parallel with the actual industrial processes to offer “Human-Centric” Safe, Secure …

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 …

Most multimodal medical image fusion (MMIF) methods suffer from insufficient
complementary feature extraction and luminance degradation, such that the fused results …

This paper proposes a new infrared and visible image fusion method based on the densely
connected disentangled representation generative adversarial network (DCDR-GAN), which …

Fusion of images acquired using different sensors generates a single output with enhanced
information for high-level visual perception applications. The transformer architecture has …

A single infrared image or visible image for the same scene is usually insufficient to
simultaneously reveal the infrared objects and the scene details. Thus, image fusion …

Image fusion plays an important role in real life, especially in remote sensing, image
enhancement, and so on. Among all kinds of image fusion algorithms, Transformer has been …

This paper proposes a self-supervised framework based on a contrastive auto-encoding and
convolutional information exchange for multi-modal medical fusion tasks. It is well known …

Multi-modal medical image fusion (MMIF) is used to merge multiple modes of medical
images for better imaging quality and more comprehensive information, such that enhancing …