Results 31 to 40 of about 106,379 (261)
A Dual-Branch Network for Infrared and Visible Image Fusion [PDF]
2020 25th International Conference on Pattern Recognition (ICPR), 2021 Deep learning is a rapidly developing approach in the field of infrared and visible image fusion. In this context, the use of dense blocks in deep networks significantly improves the utilization of shallow information, and the combination of the Generative Adversarial Network (GAN) also improves the fusion performance of two source images. We propose a
Yu Fu 0015, Xiao-Jun Wu 0001
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Enhanced target tracking algorithm for autonomous driving based on visible and infrared image fusion
Journal of Intelligent and Connected Vehicles, 2023 In autonomous driving, target tracking is essential to environmental perception. The study of target tracking algorithms can improve the accuracy of an autonomous driving vehicle’s perception, which is of great significance in ensuring the safety of ...
Quan Yuan +5 more
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Improved TLBO for Fusion of Infrared and Visible Images
Journal of Sensors, 2022 Image fusion is an image enhancement method in modern artificial intelligence theory, which can reduce the pressure in data storage and obtain better image information. Due to different imaging principles, information of the infrared image and visible images’ information is complementary and redundant.
Jinghua Wang +3 more
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U-GAN Model for Infrared and Visible Images Fusion
Xibei Gongye Daxue Xuebao, 2020 Infrared and visible image fusion is an effective method to solve the lack of single sensor imaging. The purpose is that the fusion images are suitable for human eyes and conducive to the next application and processing. In order to solve the problems of
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Infrared and visible image fusion based on multi‐channel convolutional neural network
IET Image Processing, 2022 For the lack of labels in infrared and visible image fusion network, an infrared and visible image fusion model based on multi‐channel unsupervised convolutional neural network (CNN) is proposed in this paper, in order to extract more detailed ...
Hongmei Wang +4 more
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SiamFT: An RGB-Infrared Fusion Tracking Method via Fully Convolutional Siamese Networks
IEEE Access, 2019 Object tracking based on visible images may fail when the visible images are unreliable, for example when the illumination condition is poor. Infrared images reveal thermal radiation of objects and are insensitive to these factors.
Xingchen Zhang +5 more
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DSA-Net: Infrared and Visible Image Fusion via Dual-Stream Asymmetric Network
Sensors, 2023 Infrared and visible image fusion technologies are used to characterize the same scene using diverse modalities. However, most existing deep learning-based fusion methods are designed as symmetric networks, which ignore the differences between modal ...
Ruyi Yin +3 more
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Research Progress of Infrared and Visible Image Fusion Algorithms [PDF]
Jisuanji kexue, 2023 Infrared images are easy to identify thermal targets,and visible images have rich texture information.The fusion of infrared and visible images takes the advantages of both optical bands which can clearly show the targets and background.It has been ...
WEI Qi, ZHAO Juan
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Visible and infrared image fusion algorithm for underground personnel detection
Gong-kuang zidonghua, 2023 The working environment and lighting conditions of mining intelligent vehicles are complex. When detecting underground personnel, infrared reflection information and detailed texture information can be fused into visible light images by fusing visible ...
ZHOU Libing +5 more
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Mamba-Based Infrared and Visible Images Fusion Method
Remote SensingVisible-infrared image fusion is crucial for applications like autonomous driving and nighttime surveillance, yet it remains challenging due to the inherent limitations of existing deep learning models.
Jinsong He +5 more
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