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Due to distribution shift, deep learning based methods for image dehazing suffer from performance degradation when applied to real-world hazy images.
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Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Gaurav Sharma, Wencheng Wu, and Edul N Dalal · 2005
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Hamid R Sheikh, Alan C Bovik, and Lawrence Cormack · 2005
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Single image haze removal using dark channel prior
Kaiming He, Jian Sun, and Xiaoou Tang · 2010
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Image quality metrics: Psnr vs. ssim
Alain Hore and Djemel Ziou · 2010
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Kevin P Murphy · 2012
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Bayesian defogging
Ko Nishino, Louis Kratz, and Stephen Lombardi · 2012
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Computational colour science using MATLAB
Stephen Westland, Caterina Ripamonti, and Vien Cheung · 2012
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Fast image dehazing using improved dark channel prior
Haoran Xu, Jianming Guo, Qing Liu, and Lingli Ye · 2012
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Dehazing using color-lines
Raanan Fattal · 2014
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Milan Sonka, Vaclav Hlavac, and Roger Boyle · 2014
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Visual-psnr measure of image quality
Alexander Tanchenko · 2014
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Investigating haze-relevant features in a learning framework for image dehazing
Ketan Tang, Jianchao Yang, and Jue Wang · 2014
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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A fast single image haze removal algorithm using color attenuation prior
Qingsong Zhu, Jiaming Mai, and Ling Shao · 2015
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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 dehazing using color ellipsoid prior
Trung Minh Bui and Wonha Kim · 2017
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Unsupervised monocular depth estimation with left-right consistency
Clément Godard, Oisin Mac Aodha, and Gabriel J. Brostow · 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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Dr-net: transmission steered single image dehazing network with weakly supervised refinement
Chongyi Li, Jichang Guo, Fatih Porikli, Chunle Guo, Huzhu Fu, and Xi Li · 2017
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Deep fully convolutional regression networks for single image haze removal
Xi Zhao, Keyan Wang, Yunsong Li, and Jiaojiao Li · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
End-to-end single image fog removal using enhanced cycle consistent adversarial networks
Wei Liu, Xianxu Hou, Jiang Duan, and Guoping Qiu · 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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Domain adaptation for image dehazing
Yuanjie Shao, Lerenhan Li, Wenqi Ren, Changxin Gao, and Nong Sang · 2020
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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High-frequency component helps explain the generalization of convolutional neural networks
Haohan Wang, Xindi Wu, Zeyi Huang, and Eric P Xing · 2020
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Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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I-haze: a dehazing benchmark with real hazy and haze-free indoor images
Cosmin Ancuti, Codruta O Ancuti, Radu Timofte, and Christophe De Vleeschouwer · 2018
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O-haze: a dehazing benchmark with real hazy and haze-free outdoor images
Codruta O Ancuti, Cosmin Ancuti, Radu Timofte, and Christophe De Vleeschouwer · 2018
Cited alongside, same era.
Cycle-dehaze: Enhanced cyclegan for single image dehazing
Deniz Engin, Anil Genç, and Hazim Kemal Ekenel · 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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Densely connected pyramid dehazing network
He Zhang and Vishal M Patel · 2018
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Dense-haze: A benchmark for image dehazing with dense-haze and haze-free images
Codruta O Ancuti, Cosmin Ancuti, Mateu Sbert, and Radu Timofte · 2019
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Yanchao Yang and Stefano Soatto · 2020
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Amplitude-phase recombination: Rethinking robustness of convolutional neural networks in frequency domain
Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, and Yonghong Tian · 2021
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Psd: Principled synthetic-to-real dehazing guided by physical priors
Zeyuan Chen, Yangchao Wang, Yang Yang, and Dong Liu · 2021
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Musiq: Multi-scale image quality transformer
Junjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar, and Feng Yang · 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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Sdedit: Image synthesis and editing with stochastic differential equations
Chenlin Meng, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon · 2021
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Image super-resolution via iterative refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J Fleet, and Mohammad Norouzi · 2021
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Solving inverse problems in medical imaging with score-based generative models
Yang Song, Liyue Shen, Lei Xing, and Stefano Ermon · 2021
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Cong Wang, Yan Huang, Yuexian Zou, and Yong Xu · 2021
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Fwb-net: front white balance network for color shift correction in single image dehazing via atmospheric light estimation
Cong Wang, Yan Huang, Yuexian Zou, and Yong Xu · 2021
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Blended diffusion for text-driven editing of natural images
Omri Avrahami, Dani Lischinski, and Ohad Fried · 2022
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Self-guided image dehazing using progressive feature fusion
Haoran Bai, Jinshan Pan, Xinguang Xiang, and Jinhui Tang · 2022
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2022
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Palette: Image-to-image diffusion models
Chitwan Saharia, William Chan, Huiwen Chang, Chris Lee, Jonathan Ho, Tim Salimans, David Fleet, and Mohammad Norouzi · 2022
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Image super-resolution via iterative refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J Fleet, and Mohammad Norouzi · 2022
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Vision transformers for single image dehazing
Yuda Song, Zhuqing He, Hui Qian, and Xin Du · 2022
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Deblurring via stochastic refinement
Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, and Peyman Milanfar · 2022
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