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Multiview angle UAV infrared image simulation with segmented model and object detection for traffic surveillance [PDF]
With the rapid development of infrared (IR) imaging UAV technology, infrared aerial image processing technology has been applied in different fields. But it is not very convenient to obtain real aerial images in some cases because of flight limitations ...
Tuerniyazi Aibibu +4 more
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Infrared Image Enhancement: A Review
Under special conditions such as night, rain, and fog, visible light imaging technology often performs poorly, while radar and other imaging technologies are limited due to their high costs.
Qingwang Wang +4 more
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Infrared Imaging and NDT [PDF]
Infrared thermography has become a mature and widely accepted technology with applications in many different fields, from medical to industrial [...]
Rubén Usamentiaga, Pablo Venegas
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Research on Infrared Temperature Measurement Image Enhancement Technology of Transmission Line [PDF]
It is one of the important means to ensure the safety of transmission line and its equipment to realize the rapid identification and accurate diagnosis of visual defect fault points of transmission line.
Li Mu, Li Tao, Zheng Lei, Xu Fen
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Here, we propose a CNN-based infrared image enhancement method to transform pseudo-realistic regions of simulation-based infrared images into real infrared texture. The proposed algorithm consists of the following three steps.
Taeyoung Kim, Hyochoong Bang
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Aerial Visible-to-Infrared Image Translation: Dataset, Evaluation, and Baseline
Aerial visible-to-infrared image translation aims to transfer aerial visible images to their corresponding infrared images, which can effectively generate the infrared images of specific targets.
Zonghao Han +4 more
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Infrared and Visible Image Fusion: Methods, Datasets, Applications, and Prospects
Infrared and visible light image fusion combines infrared and visible light images by extracting the main information from each image and fusing it together to provide a more comprehensive image with more features from the two photos.
Yongyu Luo, Zhongqiang Luo
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Compression of Infrared images [PDF]
This paper investigates the compression of infrared images with three codecs: JPEG2000, JPEG-XT and HEVC. Results are evaluated in terms of SNR, Mean Relative Squared Error (MRSE) and the HDR-VDP2 quality metric. JPEG2000 and HEVC perform fairy similar and better than JPEG-XT.
Claire Mantel, Søren Forchhammer
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Infrared image simulation is challenging because it is complex to model. To estimate the corresponding infrared image directly from the visible light image, we propose a three-level refined light-weight generative adversarial network with cascaded ...
Ruiming Jia +3 more
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A Multi-Branch Multi-Scale Deep Learning Image Fusion Algorithm Based on DenseNet
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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