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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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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 +9 more
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Drones, 2023 Fusing infrared and visible images taken by an unmanned aerial vehicle (UAV) is a challenging task, since infrared images distinguish the target from the background by the difference in infrared radiation, while the low resolution also produces a less ...
Sen Shen +8 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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Decision-level fusion detection method of visible and infrared images under low light conditions
EURASIP Journal on Advances in Signal Processing, 2023 Aiming at the problem of poor effect of object detection with visible images under low light conditions, the decision-level fusion detection method of visible and infrared images is studied.
Zuhui Hu, Yaguang Jing, Guoqing Wu
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PLoS ONE, 2021 Aiming at the situation that the existing visible and infrared images fusion algorithms only focus on highlighting infrared targets and neglect the performance of image details, and cannot take into account the characteristics of infrared and visible ...
Hui Huang +4 more
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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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Entropy, 2021 This paper proposes a new generative adversarial network for infrared and visible image fusion based on semantic segmentation (SSGAN), which can consider not only the low-level features of infrared and visible images, but also the high-level semantic ...
Jilei Hou +4 more
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Deep learning to enable color vision in the dark.
PLoS ONE, 2022 Humans perceive light in the visible spectrum (400-700 nm). Some night vision systems use infrared light that is not perceptible to humans and the images rendered are transposed to a digital display presenting a monochromatic image in the visible ...
Andrew W Browne +7 more
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Visible and Near Infrared Image Fusion Using Base Tone Compression and Detail Transform Fusion
Chemosensors, 2022 This study aims to develop a spatial dual-sensor module for acquiring visible and near-infrared images in the same space without time shifting and to synthesize the captured images.
Dong-Min Son, Hyuk-Ju Kwon, Sung-Hak Lee
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