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2021 33rd Chinese Control and Decision Conference (CCDC), 2021
Yin Gao, Huiqin Xu, Feng Xie, Jun Li
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Yin Gao, Huiqin Xu, Feng Xie, Jun Li
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Mutually Guided Image Dehazing
2022 International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC), 2022Usman Ali, Waqas Tariq Toor
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UCL-Dehaze: Toward Real-World Image Dehazing via Unsupervised Contrastive Learning
IEEE Transactions on Image ProcessingWhile the wisdom of training an image dehazing model on synthetic hazy data can alleviate the difficulty of collecting real-world hazy/clean image pairs, it brings the well-known domain shift problem. From a different yet new perspective, this paper explores contrastive learning with an adversarial training effort to leverage unpaired real-world hazy ...
Yongzhen, Wang +7 more
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Image Dehazing Using Regularized Optimization
2014The presence of haze shifts the color and degrades the visibility of outdoor scenes in digital images. In this paper, we propose a novel and effective optimization algorithm for single image dehazing. We first formulate the dehazing model into a linear convex optimization problem, and we develop its cost function based on two basic observations: first,
Jiaxi He, Cishen Zhang, Ifat-Al Baqee
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Transformer based Image Dehazing
2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2022Patricia L. Suárez +3 more
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Image-based profiling for drug discovery: due for a machine-learning upgrade?
Nature Reviews Drug Discovery, 2020Srinivas Niranj Chandrasekaran +2 more
exaly
“Pyramid Deep dehazing”: An unsupervised single image dehazing method using deep image prior
Optics & Laser Technology, 2022Lu Xu, Ying Wei
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