Results 21 to 30 of about 354,921 (302)
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
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
doaj +1 more source
Target-Aware Fusion of Infrared and Visible Images
IEEE Access, 2018 Image fusion technology involves the use of complementary information from multiple sensors to generate a composite image that can highlight the details in the region of interest.
Yingjie Zhou +4 more
doaj +1 more source
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
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
doaj +1 more source
Microscopy with undetected photons in the mid-infrared [PDF]
, 2020 Owing to its capacity for unique (bio)-chemical specificity, microscopy withmid-IR illumination holds tremendous promise for a wide range of biomedical and industrial applications.
Avery, Ellen G. +4 more
core +2 more sources
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
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection [PDF]
, 2019 Effective fusion of complementary information captured by multi-modal sensors (visible and infrared cameras) enables robust pedestrian detection under various surveillance situations (e.g. daytime and nighttime).
Cao, Yanlong +5 more
core +3 more sources
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
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
doaj +1 more source