A review of image fusion: Methods, applications and performance metrics
The same sensor or a number of image sensors are used to take a series of photographs in
order to gather as much data as possible about the scene. Several imaging techniques are …
order to gather as much data as possible about the scene. Several imaging techniques are …
A feature level image fusion for Night-Vision context enhancement using Arithmetic optimization algorithm based image segmentation
Images are fused to produce a composite image by combining key characteristics of the
source images in image fusion. It makes the fused image better for human vision and …
source images in image fusion. It makes the fused image better for human vision and …
Gradient-based multi-focus image fusion using foreground and background pattern recognition with weighted anisotropic diffusion filter
The goal of multi-focus image fusion (MFIF) is to create a single, unified image from multiple
images of the same scene with varying depths of focus of foreground and background …
images of the same scene with varying depths of focus of foreground and background …
Advancing automated street crime detection: a drone-based system integrating CNN models and enhanced feature selection techniques
This study presents a pioneering solution to the growing challenge of escalating global
crime rates through the introduction of an automated drone-based street crime detection …
crime rates through the introduction of an automated drone-based street crime detection …
DSA-Net: Infrared and Visible Image Fusion via Dual-Stream Asymmetric Network
R Yin, B Yang, Z Huang, X Zhang - Sensors, 2023 - mdpi.com
Infrared and visible image fusion technologies are used to characterize the same scene
using diverse modalities. However, most existing deep learning-based fusion methods are …
using diverse modalities. However, most existing deep learning-based fusion methods are …
MFHOD: Multi-modal image fusion method based on the higher-order degradation model
J Guo, W Zhan, Y Jiang, W Ge, Y Chen, X Xu… - Expert Systems with …, 2024 - Elsevier
The task of multimodal image fusion aims to preserve the respective advantages of each
modality, such as the detailed texture information from visible light images and the salient …
modality, such as the detailed texture information from visible light images and the salient …
MSE-Fusion: Weakly supervised medical image fusion with modal synthesis and enhancement
L Wang, Y Liu, J Mi, J Zhang - Engineering Applications of Artificial …, 2023 - Elsevier
Existing multi-modal image fusion methods utilize multi-modal images as input that require
multiple imaging of patients causing harm to patients' bodies and large costs, moreover …
multiple imaging of patients causing harm to patients' bodies and large costs, moreover …
An infrared and visible image fusion algorithm method based on a dual bilateral least squares hybrid filter
Q Lu, Z Han, L Hu, F Tian - Electronics, 2023 - mdpi.com
Infrared and visible images of the same scene are fused to produce a fused image with
richer information. However, most current image-fusion algorithms suffer from insufficient …
richer information. However, most current image-fusion algorithms suffer from insufficient …
IoMT enabled diabetic retinopathy segmentation and classification using ensemble efficient net model
V Bhutnal, NR Moparthi - Multimedia Tools and Applications, 2024 - Springer
The most common preventable cause of blindness in working-age adults worldwide is
diabetic retinopathy (DR). Accurate detection of DR by machine learning (ML) approaches is …
diabetic retinopathy (DR). Accurate detection of DR by machine learning (ML) approaches is …
Tunicate swarm algorithm with deep convolutional neural network-driven colorectal cancer classification from histopathological imaging data.
Colorectal cancer (CRC) is one of the most popular cancers among both men and women,
with increasing incidence. The enhanced analytical load data from the pathology laboratory …
with increasing incidence. The enhanced analytical load data from the pathology laboratory …