Image fusion meets deep learning: A survey and perspective
Image fusion, which refers to extracting and then combining the most meaningful information
from different source images, aims to generate a single image that is more informative and …
from different source images, aims to generate a single image that is more informative and …
RGB-T image analysis technology and application: A survey
Abstract RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent
years. In the past decade, it has received wide attention and made a lot of important …
years. In the past decade, it has received wide attention and made a lot of important …
Metafusion: Infrared and visible image fusion via meta-feature embedding from object detection
W Zhao, S **e, F Zhao, Y He… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Fusing infrared and visible images can provide more texture details for subsequent object
detection task. Conversely, detection task furnishes object semantic information to improve …
detection task. Conversely, detection task furnishes object semantic information to improve …
DCDR-GAN: A densely connected disentangled representation generative adversarial network for infrared and visible image fusion
This paper proposes a new infrared and visible image fusion method based on the densely
connected disentangled representation generative adversarial network (DCDR-GAN), which …
connected disentangled representation generative adversarial network (DCDR-GAN), which …
Multi-sensor medical-image fusion technique based on embedding bilateral filter in least squares and salient detection
J Li, D Han, X Wang, P Yi, L Yan, X Li - Sensors, 2023 - mdpi.com
A multi-sensor medical-image fusion technique, which integrates useful information from
different single-modal images of the same tissue and provides a fused image that is more …
different single-modal images of the same tissue and provides a fused image that is more …
A lightweight pixel-level unified image fusion network
In recent years, deep-learning-based pixel-level unified image fusion methods have
received more and more attention due to their practicality and robustness. However, they …
received more and more attention due to their practicality and robustness. However, they …
Infrared and low-light visible image fusion based on hybrid multiscale decomposition and adaptive light adjustment
D Zou, B Yang - Optics and Lasers in Engineering, 2023 - Elsevier
Most traditional infrared and visible image fusion methods often ignore weak texture details,
especially for the low-light visible images in which the weak details are easily drowned due …
especially for the low-light visible images in which the weak details are easily drowned due …
From conventional approach to machine learning and deep learning approach: an experimental and comprehensive review of image fusion techniques
Images captured from a single or multiple imaging sensors with considerable focus or
numerous exposures of the same or different modalities do not provide all relevant …
numerous exposures of the same or different modalities do not provide all relevant …
Multi-modal medical image fusion via multi-dictionary and truncated Huber filtering
Multi-modal medical image fusion provides comprehensive and objective descriptions of
lesions for clinical medical assistance. However, retaining useful information while …
lesions for clinical medical assistance. However, retaining useful information while …
Multi-focus image fusion based on transformer and depth information learning
According to the imaging principle of the camera, the focusing and defocusing parts of the
image are often determined by the depth information in the real scene. Only objects within a …
image are often determined by the depth information in the real scene. Only objects within a …