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 …
Visible and infrared image fusion using deep learning
Visible and infrared image fusion (VIF) has attracted a lot of interest in recent years due to its
application in many tasks, such as object detection, object tracking, scene segmentation …
application in many tasks, such as object detection, object tracking, scene segmentation …
SwinFusion: Cross-domain long-range learning for general image fusion via swin transformer
This study proposes a novel general image fusion framework based on cross-domain long-
range learning and Swin Transformer, termed as SwinFusion. On the one hand, an attention …
range learning and Swin Transformer, termed as SwinFusion. On the one hand, an attention …
SuperFusion: A versatile image registration and fusion network with semantic awareness
Image fusion aims to integrate complementary information in source images to synthesize a
fused image comprehensively characterizing the imaging scene. However, existing image …
fused image comprehensively characterizing the imaging scene. However, existing image …
Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network
Infrared and visible image fusion aims to synthesize a single fused image that not only
contains salient targets and abundant texture details but also facilitates high-level vision …
contains salient targets and abundant texture details but also facilitates high-level vision …
PIAFusion: A progressive infrared and visible image fusion network based on illumination aware
Infrared and visible image fusion aims to synthesize a single fused image containing salient
targets and abundant texture details even under extreme illumination conditions. However …
targets and abundant texture details even under extreme illumination conditions. However …
DIVFusion: Darkness-free infrared and visible image fusion
As a vital image enhancement technology, infrared and visible image fusion aims to
generate high-quality fused images with salient targets and abundant texture in extreme …
generate high-quality fused images with salient targets and abundant texture in extreme …
YDTR: Infrared and visible image fusion via Y-shape dynamic transformer
Infrared and visible image fusion is aims to generate a composite image that can
simultaneously describe the salient target in the infrared image and texture details in the …
simultaneously describe the salient target in the infrared image and texture details in the …
Rethinking the necessity of image fusion in high-level vision tasks: A practical infrared and visible image fusion network based on progressive semantic injection and …
Image fusion aims to integrate complementary characteristics of source images into a single
fused image that better serves human visual observation and machine vision perception …
fused image that better serves human visual observation and machine vision perception …
SwinFuse: A residual swin transformer fusion network for infrared and visible images
Z Wang, Y Chen, W Shao, H Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The existing deep learning fusion methods mainly concentrate on convolutional neural
networks (CNNs), and few attempts are made with transformer. Meanwhile, the …
networks (CNNs), and few attempts are made with transformer. Meanwhile, the …