Results 1 to 10 of about 354,921 (302)

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

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

Sensors, 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, Han Xu, Yong Ma, Jun Huang, Fan Fan   +4 more
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Automatic diagnosis of heating in oil-filled terminals of cables [PDF]

Scientific Reports
A new automatic diagnosis technique was proposed to address the problem of cable oil-filled terminal heating. The infrared and visible light images collected by DJI drones were registered using the scale-invariant feature transform (SIFT) algorithm.
Shunyu Yao, Zhen Liu, Yong Zhao, Shuo Ni
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VIPE: Visible and Infrared Fused Pose Estimation Framework for Space Noncooperative Objects [PDF]

Sensors
Accurate pose estimation of non-cooperative space objects is crucial for applications such as satellite maintenance, space debris removal, and on-orbit assembly.
Zhao Zhang, Dong Zhou, Yuhui Hu, Weizhao Ma, Guanghui Sun, Yuekan Zhang   +5 more
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Bayesian fusion for infrared and visible images [PDF]

Signal 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.
Zhao, Zixiang, Xu, Shuang, Zhang, Chunxia, Liu, Junmin, Zhang, Jiangshe   +4 more
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Infrared and Visible Image Fusion with Hybrid Image Filtering [PDF]

Mathematical Problems in Engineering, 2020
Image fusion is an important technique aiming to generate a composite image from multiple images of the same scene. Infrared and visible images can provide the same scene information from different aspects, which is useful for target recognition. But the existing fusion methods cannot well preserve the thermal radiation and appearance information ...
Yongxin Zhang, Deguang Li, WenPeng Zhu
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Aerial Visible-to-Infrared Image Translation: Dataset, Evaluation, and Baseline

Journal 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, Ziye Zhang, Shun Zhang, Ge Zhang, Shaohui Mei   +4 more
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Combining Regional Energy and Intuitionistic Fuzzy Sets for Infrared and Visible Image Fusion

Sensors, 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, Cong Luo, Jian Zhou, Minghan Yan, Cheng Liu, Tingfa Xu   +5 more
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DDGANSE: Dual-Discriminator GAN with a Squeeze-and-Excitation Module for Infrared and Visible Image Fusion

Photonics, 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, Jinwen Ren, Hongzhen Li, Zengzhao Sun, Zhenye Luan, Zishu Yu, Chunhao Liang, Yashar E. Monfared, Huaqiang Xu, Qing Hua   +9 more
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GF-Detection: Fusion with GAN of Infrared and Visible Images for Vehicle Detection at Nighttime

Remote 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, Tian Tian, Tianming Zhao, Linfeng Li, Nan Zhang, Jinwen Tian   +5 more
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