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In the real world, the degradation of images taken under haze can be quite complex, where the spatial distribution of haze is varied from image to image.
Two deterministic half-quadratic regularization algorithms for computed imaging
Pierre Charbonnier, Laure Blanc-Feraud, Gilles Aubert, and Michel Barlaud · 1994
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Single image haze removal using dark channel prior
Kaiming He, Jian Sun, and Xiaoou Tang · 2010
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Dehazing using color-lines
Raanan Fattal · 2014
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Non-local image dehazing
Dana Berman, Shai Avidan, et al · 2016
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Dehazenet: An end-to-end system for single image haze removal
Bolun Cai, Xiangmin Xu, Kui Jia, Chunmei Qing, and Dacheng Tao · 2016
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Single image haze removal algorithm using color attenuation prior and multi-scale fusion
Krati Katiyar and Neha Verma · 2016
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Image dehazing using adaptive bi-channel priors on superpixels
Yutong Jiang, Changming Sun, Yu Zhao, and Li Yang · 2017
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Aod-net: All-in-one dehazing network
Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, and Dan Feng · 2017
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Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
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Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
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Benchmarking single-image dehazing and beyond
Boyi Li, Wenqi Ren, Dengpan Fu, Dacheng Tao, Dan Feng, Wenjun Zeng, and Zhangyang Wang · 2018
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Non-local neural networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 2018
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Cbam: Convolutional block attention module
Sanghyun Woo, Jongchan Park, Joon-Young Lee, and In So Kweon · 2018
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Dual attention network for scene segmentation
Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, and Hanqing Lu · 2019
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Griddehazenet: Attention-based multi-scale network for image dehazing
Xiaohong Liu, Yongrui Ma, Zhihao Shi, and Jun Chen · 2019
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Looking for the devil in the details: Learning trilinear attention sampling network for fine-grained image recognition
Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, and Jiebo Luo · 2019
Trident dehazing network
Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, and Lizhuang Ma · 2020
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Ffa-net: Feature fusion attention network for single image dehazing
Xu Qin, Zhilin Wang, Yuanchao Bai, Xiaodong Xie, and Huizhu Jia · 2020
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Eca-net: efficient channel attention for deep convolutional neural networks, 2020 ieee
Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, and Qinghua Hu · 2020
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Knowledge transfer dehazing network for nonhomogeneous dehazing
Haiyan Wu, Jing Liu, Yuan Xie, Yanyun Qu, and Lizhuang Ma · 2020
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Ntire 2021 nonhomogeneous dehazing challenge report
Codruta O Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, and Radu Timofte · 2021
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Ntire 2020 challenge on nonhomogeneous dehazing
Codruta O Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, and Radu Timofte · 2020
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Fast deep multi-patch hierarchical network for nonhomogeneous image dehazing
Sourya Dipta Das and Saikat Dutta · 2020
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Multi-scale boosted dehazing network with dense feature fusion
Hang Dong, Jinshan Pan, Lei Xiang, Zhe Hu, Xinyi Zhang, Fei Wang, and Ming-Hsuan Yang · 2020
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Distilling image dehazing with heterogeneous task imitation
Ming Hong, Yuan Xie, Cuihua Li, and Yanyun Qu · 2020
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Yehao Li, Ting Yao, Yingwei Pan, and Tao Mei · 2021
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From synthetic to real: Image dehazing collaborating with unlabeled real data
Ye Liu, Lei Zhu, Shunda Pei, Huazhu Fu, Jing Qin, Qing Zhang, Liang Wan, and Wei Feng · 2021
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Contrastive learning for compact single image dehazing
Haiyan Wu, Yanyun Qu, Shaohui Lin, Jian Zhou, Ruizhi Qiao, Zhizhong Zhang, Yuan Xie, and Lizhuang Ma · 2021
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A two-branch neural network for non-homogeneous dehazing via ensemble learning
Yankun Yu, Huan Liu, Minghan Fu, Jun Chen, Xiyao Wang, and Keyan Wang · 2021
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Multi-stage progressive image restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao · 2021
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