Current advances and future perspectives of image fusion: A comprehensive review
Multiple imaging modalities can be combined to provide more information about the real
world than a single modality alone. Infrared images discriminate targets with respect to their …
world than a single modality alone. Infrared images discriminate targets with respect to their …
Fusiondn: A unified densely connected network for image fusion
In this paper, we present a new unsupervised and unified densely connected network for
different types of image fusion tasks, termed as FusionDN. In our method, the densely …
different types of image fusion tasks, termed as FusionDN. In our method, the densely …
Multimodal medical image fusion review: Theoretical background and recent advances
Multimodal medical image fusion consists in combining two or more images of the same or
different modalities aiming to improve the image content, and preserve information. The …
different modalities aiming to improve the image content, and preserve information. The …
Multi-focus image fusion: A survey of the state of the art
Multi-focus image fusion is an effective technique to extend the depth-of-field of optical
lenses by creating an all-in-focus image from a set of partially focused images of the same …
lenses by creating an all-in-focus image from a set of partially focused images of the same …
Infrared and visible image fusion methods and applications: A survey
Infrared images can distinguish targets from their backgrounds based on the radiation
difference, which works well in all-weather and all-day/night conditions. By contrast, visible …
difference, which works well in all-weather and all-day/night conditions. By contrast, visible …
An infrared and visible image fusion method based on multi-scale transformation and norm optimization
In this paper, we propose a new infrared and visible image fusion method based on multi-
scale transformation and norm optimization. In this method, a new loss function is designed …
scale transformation and norm optimization. In this method, a new loss function is designed …
FusionGAN: A generative adversarial network for infrared and visible image fusion
Infrared images can distinguish targets from their backgrounds on the basis of difference in
thermal radiation, which works well at all day/night time and under all weather conditions. By …
thermal radiation, which works well at all day/night time and under all weather conditions. By …
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 …
Rfnet: Unsupervised network for mutually reinforcing multi-modal image registration and fusion
In this paper, we propose a novel method to realize multi-modal image registration and
fusion in a mutually reinforcing framework, termed as RFNet. We handle the registration in a …
fusion in a mutually reinforcing framework, termed as RFNet. We handle the registration in a …
Medical image fusion with parameter-adaptive pulse coupled neural network in nonsubsampled shearlet transform domain
As an effective way to integrate the information contained in multiple medical images with
different modalities, medical image fusion has emerged as a powerful technique in various …
different modalities, medical image fusion has emerged as a powerful technique in various …