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GF-Detection: Fusion with GAN of Infrared and Visible Images for Vehicle Detection at Nighttime

open access: yesRemote Sensing, 2022
Vehicles are important targets in the remote sensing applications and nighttime vehicle detection has been a hot study topic in recent years. Vehicles in the visible images at nighttime have inadequate features for object detection.
Peng Gao   +5 more
doaj   +4 more sources

Fusing Infrared and Visible Images of Different Resolutions via Total Variation Model [PDF]

open access: yesSensors, 2018
In infrared and visible image fusion, existing methods typically have a prerequisite that the source images share the same resolution. However, due to limitations of hardware devices and application environments, infrared images constantly suffer from ...
Qinglei Du   +4 more
doaj   +3 more sources

Multi-scale Fusion of Stretched Infrared and Visible Images [PDF]

open access: yesSensors, 2022
Infrared (IR) band sensors can capture digital images under challenging conditions, such as haze, smoke, and fog, while visible (VIS) band sensors seize abundant texture information.
Weibin Jia, Zhihuan Song, Zhengguo Li
doaj   +2 more sources

Target-Aware Fusion of Infrared and Visible Images

open access: yesIEEE Access, 2018
Image fusion technology involves the use of complementary information from multiple sensors to generate a composite image that can highlight the details in the region of interest.
Yingjie Zhou   +4 more
doaj   +3 more sources

Multiscale Progressive Fusion of Infrared and Visible Images

open access: yesIEEE Access, 2022
Infrared and visible image fusion aims to generate more informative images of a given scene by combining multimodal images with complementary information.
Seonghyun Park, Chul Lee
doaj   +2 more sources

DenseFuse: A Fusion Approach to Infrared and Visible Images [PDF]

open access: yesIEEE Transactions on Image Processing, 2019
In this paper, we present a novel deep learning architecture for infrared and visible images fusion problem. In contrast to conventional convolutional networks, our encoding network is combined by convolutional layers, fusion layer and dense block in which the output of each layer is connected to every other layer.
Xiao-Jun Wu, Hui Li, Hui Li
exaly   +5 more sources

Bayesian fusion for infrared and visible images [PDF]

open access: yesSignal Processing, 2020
Infrared and visible image fusion has been a hot issue in image fusion. In this task, a fused image containing both the gradient and detailed texture information of visible images as well as the thermal radiation and highlighting targets of infrared images is expected to be obtained.
Zixiang Zhao   +4 more
openaire   +3 more sources

Aerial Visible-to-Infrared Image Translation: Dataset, Evaluation, and Baseline

open access: yesJournal of Remote Sensing, 2023
Aerial visible-to-infrared image translation aims to transfer aerial visible images to their corresponding infrared images, which can effectively generate the infrared images of specific targets.
Zonghao Han   +4 more
doaj   +1 more source

Combining Regional Energy and Intuitionistic Fuzzy Sets for Infrared and Visible Image Fusion

open access: yesSensors, 2021
To get more obvious target information and more texture features, a new fusion method for the infrared (IR) and visible (VIS) images combining regional energy (RE) and intuitionistic fuzzy sets (IFS) is proposed, and this method can be described by ...
Xiaoxue Xing   +5 more
doaj   +1 more source

DDGANSE: Dual-Discriminator GAN with a Squeeze-and-Excitation Module for Infrared and Visible Image Fusion

open access: yesPhotonics, 2022
Infrared images can provide clear contrast information to distinguish between the target and the background under any lighting conditions. In contrast, visible images can provide rich texture details and are compatible with the human visual system.
Jingjing Wang   +9 more
doaj   +1 more source

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