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[1]
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Demonstration of an improved nonlinear fringe-adjusted joint transform correlator for effective object detection and tracking in high-noise conditions
Physica Scripta,
2026
DOI:10.1088/1402-4896/ae3919
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[2]
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T-SFANet: A spatial-frequency attention network for thermal infrared image dehazing
Neurocomputing,
2026
DOI:10.1016/j.neucom.2026.132797
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[3]
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SLP-IR: Saturation Line Prior-Based Single Image Dehazing Framework for Infrared Imagery*
2026 5th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET),
2026
DOI:10.1109/iCoMET69771.2026.11592013
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[4]
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Infra Aerial Dehaze: Dehazing of Infrared Aerial Images Using Cycle Generative Adversarial Network
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology,
2025
DOI:10.1177/18758967251379274
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[5]
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Dehazing using Generative Adversarial Network - A Review
SN Computer Science,
2024
DOI:10.1007/s42979-024-03571-0
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[6]
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Improving Semantic Segmentation Under Hazy Weather for Autonomous Vehicles Using Explainable Artificial Intelligence and Adaptive Dehazing Approach
IEEE Access,
2023
DOI:10.1109/ACCESS.2023.3251728
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[7]
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Thermal Infrared Single Image Dehazing and Blind Image Quality Assessment
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),
2023
DOI:10.1109/CVPRW59228.2023.00052
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[8]
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Classification Based on Texture Analysis for Synthetic Hazy Image from Mount Kelud Haze Image Density
2023 8th International Conference on Electrical, Electronics and Information Engineering (ICEEIE),
2023
DOI:10.1109/ICEEIE59078.2023.10334845
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[9]
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Density-Aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement
IEEE Transactions on Circuits and Systems for Video Technology,
2022
DOI:10.1109/TCSVT.2021.3130158
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[10]
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Single Image Dehazing: An Analysis on Generative Adversarial Network
Journal of Computer and Communications,
2020
DOI:10.4236/jcc.2020.84010
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