Smart healthcare is a framework that utilizes technologies such as wearable devices, the
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …

The wide deployment of multi-modal sensors in various areas generates vast amounts of
data with characteristics of high volume, wide variety, and high integrity. However, traditional …

In this article, we propose a novel method for infrared and visible image fusion where we
develop nest connection-based network and spatial/channel attention models. The nest …

This paper presents a multimodal image fusion method using a novel decomposition model
based on coupled dictionary learning. The proposed method is general and can be used for …

The goal of infrared and visible image fusion is to generate an integrated image which can
simultaneously preserve more visible detail information and prominent information from the …

Methods based on generative adversarial network (GAN) have been widely used in infrared
and visible images fusion. However, these methods cannot perceive the discriminative parts …

Medical image fusion aims to integrate the complementary information captured by images
of different modalities into a more informative composite image. However, current study on …

Medical image fusion is a technique of extracting information from multiple image modalities
and combining them to create a single image with the aim of improving the image content …

For the past few years, image fusion technology has made great progress, especially in
infrared and visible light image infusion. However, the fusion methods, based on traditional …

Medical image fusion, which aims to combine multi-source information captured by different
imaging modalities, is of great significance to medical professionals for precise diagnosis …