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Here we explore two related but important tasks based on the recently released REalistic Single Image DEhazing (RESIDE) benchmark dataset: (i) single image dehazing as a low-level image restoration problem; and (ii) high-level visual understanding (e.g., object detection) of hazy images.
E. J. McCartney, “Optics of the atmosphere: scattering by molecules and particles,” New York, John Wiley and Sons, Inc., 1976. 421 p
1976
Earlier work this paper cites.
K. Tan and J. P. Oakley, “Enhancement of color images in poor visibility conditions,” in Image Processing, 2000. Proceedings. 2000 International Conference on
2000
Earlier work this paper cites.
S. G. Narasimhan and S. K. Nayar, “Chromatic framework for vision in bad weather,” in Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
2000
Earlier work this paper cites.
Y. Y. Schechner, S. G. Narasimhan, and S. K. Nayar, “Instant dehazing of images using polarization,” in Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
2001
Earlier work this paper cites.
S. G. Narasimhan and S. K. Nayar, “Vision and the atmosphere,” International Journal of Computer Vision
2002
Earlier work this paper cites.
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, “Image quality assessment: from error visibility to structural similarity,” IEEE transactions on image processing
2004
Earlier work this paper cites.
ACM, 2008
J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski, Deep photo: Model-based photograph enhancement and viewing · 2008
Earlier work this paper cites.
K. He, J. Sun, and X. Tang, “Single image haze removal using dark channel prior,” IEEE transactions on pattern analysis and machine intelligence
2011
Earlier work this paper cites.
L. Zhang, L. Zhang, X. Mou, and D. Zhang, “A comprehensive evaluation of full reference image quality assessment algorithms,” in Image Processing (ICIP), 2012 19th IEEE International Conference on
2012
Earlier work this paper cites.
K. Tang, J. Yang, and J. Wang, “Investigating haze-relevant features in a learning framework for image dehazing,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
Q. Zhu, J. Mai, and L. Shao, “A fast single image haze removal algorithm using color attenuation prior,” IEEE Transactions on Image Processing
2015
Cited alongside, same era.
S. Ren, K. He, R. Girshick, and J. Sun, “Faster r-cnn: Towards real-time object detection with region proposal networks,” in Advances in neural information processing systems
2015
Cited alongside, same era.
D. Berman, S. Avidan, et al
2016
Cited alongside, same era.
B. Cai, X. Xu, K. Jia, C. Qing, and D. Tao, “Dehazenet: An end-to-end system for single image haze removal,” IEEE Transactions on Image Processing
2016
Cited alongside, same era.
W. Ren, S. Liu, H. Zhang, J. Pan, X. Cao, and M.-H. Yang, “Single image dehazing via multi-scale convolutional neural networks,” in European conference on computer vision
2016
Cited alongside, same era.
2017
Later among the works it cites.
2017
Later among the works it cites.
H. Zhao, O. Gallo, I. Frosio, and J. Kautz, “Loss functions for image restoration with neural networks,” IEEE Transactions on Computational Imaging
2017
Later among the works it cites.
2017
Later among the works it cites.
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Z. Wang, S. Chang, Y. Yang, D. Liu, and T. S. Huang, “Studying very low resolution recognition using deep networks,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
2016
Cited alongside, same era.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE conference on computer vision and pattern recognition
2016
Cited alongside, same era.
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg, “Ssd: Single shot multibox detector,” in European conference on computer vision
2016
Cited alongside, same era.
B. Li, X. Peng, Z. Wang, J. Xu, and D. Feng, “Aod-net: All-in-one dehazing network,” in Proceedings of the IEEE International Conference on Computer Vision
2017
Cited alongside, same era.
2017
Cited alongside, same era.
2017
Later among the works it cites.
2017
Later among the works it cites.
K. He, G. Gkioxari, P. Dollár, and R. Girshick, “Mask r-cnn,” in Computer Vision (ICCV), 2017 IEEE International Conference on
2017
Later among the works it cites.
2017
Later among the works it cites.
H. Zhang and V. M. Patel, “Densely connected pyramid dehazing network,” in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
2018
Closest in time.
Y. Chen, W. Li, C. Sakaridis, D. Dai, and L. Van Gool, “Domain adaptive faster r-cnn for object detection in the wild,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
2018
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