1 |
FATTAL R. Single image dehazing[J]. ACM Transactions on Graphics, 2008, 27(3): 1-9. 10.1145/1360612.1360671
|
2 |
RONNEBERGER O, FISCHER P, BROX T. U-net: convolutional networks for biomedical image segmentation[C]// Proceedings of the 2015 International Conference on Medical Image Computing and Computer-Assisted Intervention, LNCS9351. Cham: Springer, 2015: 234-241.
|
3 |
ZHANG H, SINDAGI V, PATEL V M. Multi-scale single image dehazing using perceptual pyramid deep network[C]// Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. Piscataway: IEEE, 2018: 1015-101509. 10.1109/cvprw.2018.00135
|
4 |
CHEN D D, HE M M, FAN Q N, et al. Gated context aggregation network for image dehazing and deraining[C]// Proceedings of the 2019 IEEE Winter Conference on Applications of Computer Vision. Piscataway: IEEE, 2019:1375-1383. 10.1109/wacv.2019.00151
|
5 |
DONG H, PAN J S, XIANG L, et al. Multi-scale boosted dehazing network with dense feature fusion[C]// Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2020:2154-2164. 10.1109/CVPR42600.2020.00223
|
6 |
HE K M, SUN J, TANG X O. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(12): 2341-2353. 10.1109/tpami.2010.168
|
7 |
ZHU Q S, MAI J M, SHAO L. A fast single image haze removal algorithm using color attenuation prior[J]. IEEE Transactions on Image Processing, 2015, 24(11):3522-3533. 10.1109/tip.2015.2446191
|
8 |
DUDHANE A, MURALA S. Cardinal color fusion network for single image haze removal[J]. Machine Vision and Applications, 2019, 30(2):231-242. 10.1007/s00138-019-01014-y
|
9 |
LI B Y, PENG X L, WANG Z Y, et al. AOD-Net: all-in-one dehazing network[C]// Proceedings of the 2017 IEEE International Conference on Computer Vision. Piscataway: IEEE, 2017: 4780-4788. 10.1109/iccv.2017.511
|
10 |
MEI K F, JIANG A W, LI J C, et al. Progressive feature fusion network for realistic image dehazing[C]// Proceedings of the 2018 Asian Conference on Computer Vision, LNCS11361. Cham: Springer, 2019:203-215.
|
11 |
EBENEZER J P, JOSHUA P, DAS B, et al. Single image haze removal using conditional Wasserstein generative adversarial networks[C]// Proceedings of the 7th European Signal Processing Conference. Piscataway: IEEE, 2019:1903-1908. 10.23919/eusipco.2019.8902992
|
12 |
ARJOVSKY M, CHINTALA S, BOTTOU L. Wasserstein generative adversarial networks[C]// Proceedings of the 34th International Conference on Machine Learning. New York: JMLR.org, 2017:214-223.
|
13 |
GOODFELLOW I J, POUGET-ABADIE J, MIRZA M, et al. Generative adversarial nets[C]// Proceedings of the 27th International Conference on Neural Information Processing Systems. Cambridge: MIT Press, 2014:2672-2680.
|
14 |
MIRZA M, OSINDERO S. Conditional generative adversarial nets[EB/OL]. (2014-11-06) [2020-10-23]..
|
15 |
LEDIG C, THEIS L, HUSZÁR F, et al. Photo-realistic single image super-resolution using a generative adversarial network[C]// Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2017:105-114. 10.1109/cvpr.2017.19
|
16 |
ZHANG H, SINDAGI V, PATELV M. Image deraining using a conditional generative adversarial network[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2020, 30(11):3943-3956. 10.1109/tcsvt.2019.2920407
|
17 |
LIM B, SON S, KIM H, et al. Enhanced deep residual networks for single image super-resolution[C]// Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops. Piscataway: IEEE, 2017:1132-1140. 10.1109/cvprw.2017.151
|
18 |
ROMANO Y, ELAD M. Boosting of image denoising algorithms[J]. SIAM Journal on Imaging Sciences, 2015, 8(2):1187-1219. 10.1137/140990978
|
19 |
ISOLA P, ZHU J Y, ZHOU T H, et al. Image-to-image translation with conditional adversarial networks[C]// Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2017:5967-5976. 10.1109/cvpr.2017.632
|
20 |
WANG Z, SIMONCELLI E P, BOVIK A C. Multiscale structural similarity for image quality assessment[C]// Proceedings of the 37th Asilomar Conference on Signals, Systems and Computers. Piscataway: IEEE, 2003:1398-1402. 10.1109/acssc.2003.1292216
|
21 |
SILBERMAN N, HOIEM D, KOHLI P, et al. Indoor segmentation and support inference from RGBD images[C]// Proceedings of the 2012 European Conference on Computer Vision, LNCS7576. Berlin: Springer, 2012:746-760.
|
22 |
LI B Y, REN W Q, FENG D P, et al. Benchmarking single-image dehazing and beyond[J]. IEEE Transactions on Image Processing, 2019, 28(1): 492-505. 10.1109/tip.2018.2867951
|