Results 21 to 30 of about 124,033 (284)
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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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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Dense-FG: A Fusion GAN Model by Using Densely Connected Blocks to Fuse Infrared and Visible Images
Applied Sciences, 2023 In various engineering fields, the fusion of infrared and visible images has important applications. However, in the current process of fusing infrared and visible images, there are problems with unclear texture details in the fused images and unbalanced
Xiaodi Xu, Yan Shen, Shuai Han
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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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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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Scanpath assessment of visible and infrared side-by-side and fused video displays [PDF]
, 2007 Advances in fusion of multi-sensor inputs have necessitated the creation of more sophisticated fused image assessment techniques. The current work extends previous studies investigating participant accuracy in tracking individuals in a video sequence ...
J.J. Lewis +16 more
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Multispectral images of peach related to firmness and maturity at harvest [PDF]
, 2009 wo multispectral maturity classifications for red soft-flesh peaches (‘Kingcrest’, ‘Rubyrich’ and ‘Richlady’ n = 260) are proposed and compared based on R (red) and R/IR (red divided by infrared) images obtained with a three CCD camera (800 nm, 675 nm ...
P. Barreiro +7 more
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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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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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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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