Results 21 to 30 of about 127,104 (301)
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
core +1 more source
Generation of Fused Visible and Thermal-Infrared Images for Uncooperative Spacecraft Proximity Navigation [PDF]
, 2023 State-of-the-art techniques for vision-based relative navigation rely on images acquired in the visible spectral band. Consequently, the accuracy and robustness of the navigation is strongly influenced by the illumination conditions.
Michèle Lavagna +11 more
core +1 more source
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
doaj +1 more source
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
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
openaire +1 more source