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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.
Zixiang Zhao +4 more
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VIFB: A Visible and Infrared Image Fusion Benchmark [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020 Visible and infrared image fusion is one of the most important areas in image processing due to its numerous applications. While much progress has been made in recent years with efforts on developing fusion algorithms, there is a lack of code library and benchmark which can gauge the state-of-the-art.
Xingchen Zhang, Ping Ye, Gang Xiao 0002
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Fusion of visible and infrared images using GE-WA model and VGG-19 network
Scientific Reports, 2023 For the low computational efficiency, the existence of false targets, blurred targets, and halo occluded targets of existing image fusion models, a novel fusion method of visible and infrared images using GE-WA model and VGG-19 network is proposed. First,
Weiqiang Fan, Xiaoyu Li, Zhongchao Liu
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A Multi-Branch Multi-Scale Deep Learning Image Fusion Algorithm Based on DenseNet
Applied Sciences, 2022 Infrared images have good anti-environmental interference ability and can capture hot target information well, but their pictures lack rich detailed texture information and poor contrast.
Yumin Dong +3 more
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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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Infrared and visible image fusion based on particle swarm optimization and dense block
Frontiers in Energy Research, 2022 Infrared and visible image fusion aims to preserve essential thermal information and crucial visible details from two types of input images to generate an informative fusion image for better visual perception. In recent years, several hybrid methods have
Jing Zhang +3 more
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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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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 +5 more
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PHFuse: Unsupervised color visible and infrared image fusion with preserved hue
Scientific ReportsVisible and infrared image fusion (VIF) aims to fuse the complementary features of the source images into one image with richer information. The fused image has both contour and texture detail information from the visible image and the thermal radiation ...
ChuHeng Zhuang +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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