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Published in 2017 at "International Journal of Parallel Programming"
DOI: 10.1007/s10766-017-0551-9
Abstract: Infrared imaging has the advantage of all-weather working ability. Due to the limitation of the hardware and the high cost, the resolution of infrared image (IR) is very low. To improve the resolution of IR…
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Keywords:
resolution;
regression;
super resolution;
regression model ... See more keywords
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Published in 2021 at "Engineering Science and Technology, an International Journal"
DOI: 10.1016/j.jestch.2021.06.017
Abstract: Abstract In order to track a targeted environment, concealed weapon detection, navigation and military require various imaging modalities, for instance, visible image (VI) and infrared (IR) image. These modalities provide additional details. Complementary information from…
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Keywords:
region;
fusion;
image fusion;
infrared image ... See more keywords
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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.11.081
Abstract: Abstract In this paper, we propose a deep learning method for single infrared image enhancement. A fully convolutional neural network (CNN) is used to produce images with enhanced contrast and details. The conditional generative adversarial…
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Keywords:
image enhancement;
network;
infrared image;
convolutional neural ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-06538-0
Abstract: Infrared imaging technology is vital for security monitoring, industrial detection, and medical diagnosis. However, atmospheric thermal radiation degrades its quality, causing contrast reduction, texture blurring, and non-uniform noise. To address these challenges, this paper introduces…
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Keywords:
infrared image;
image;
dual decoding;
generative adversarial ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-15158-7
Abstract: Visible and infrared image fusion (VIF) aims to fuse the complementary features of the source images into one image with richer information. The fused image has both contour and texture detail information from the visible…
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Keywords:
information;
infrared image;
image;
fusion ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3017499
Abstract: In order to solve the problem of low contrast and fuzzy detail in infrared image, we propose an infrared image enhancement method based on multi-scale and adaptive bi-interval histogram equalization with details. The method mainly…
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Keywords:
equalization;
multi scale;
image enhancement;
infrared image ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3554881
Abstract: Uncooled infrared image detection methods with a narrow-band filter have the advantages of low cost and can efficiently distinguish gas types; however, they also introduce nonuniform patterns to the image and reduce the target radiation…
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Keywords:
detection;
infrared image;
image;
leakage gas ... See more keywords
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Published in 2017 at "IEEE Photonics Journal"
DOI: 10.1109/jphot.2017.2717948
Abstract: In this paper, we present a deep learning method for single infrared image stripe noise removal. Our method is denoted as a deep convolutional neural network (CNN) that takes the noisy image as the input…
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Keywords:
image;
single infrared;
stripe noise;
image stripe ... See more keywords
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Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3542236
Abstract: With the rapid expansion of urban rail transit networks, higher standards have been set for vehicle operational safety and reliability. The real-time temperature monitoring of key components of the bogie can assure operational safety and…
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Keywords:
system;
infrared image;
image;
monitoring key ... See more keywords
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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3466388
Abstract: The infrared (IR) image dynamic range compression (DRC) technology involves compressing high dynamic range (HDR) IR images into low dynamic range (LDR) images for display on common devices. To facilitate human observation, DRC methods should…
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Keywords:
dynamic range;
structure;
infrared image;
contrast ... See more keywords
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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3584385
Abstract: Infrared image super-resolution (IRSR) is challenging due to weak structures and textures. While Mamba-based state-space models (SSMs) efficiently model long-range dependencies, their inherent blockwise processing disrupts spatial consistency, limiting direct IRSR applicability. We propose IRSRMamba,…
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Keywords:
infrared image;
irsrmamba;
mamba based;
image super ... See more keywords