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Existing deep convolutional neural networks have found major success in image deraining, but at the expense of an enormous number of parameters.
“The laplacian pyramid as a compact image code,”
P. Burt and E. Adelson, · 1983
Earlier work this paper cites.
“Detection and removal of rain from videos,”
K. Garg and S. K. Nayar, · 2004
Earlier work this paper cites.
“Image quality assessment: From error visibility to structural similarity,”
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, · 2004
Earlier work this paper cites.
“Analysis of rain and snow in frequency space,”
P. C. Barnum, S. Narasimhan, and T. Kanade, · 2010
Earlier work this paper cites.
“Rain or snow detection in image sequences through use of a histogram of orientation of streaks,”
J. Bossu, N. Hautiere, and J. P. Tarel, · 2011
Earlier work this paper cites.
“Automatic single image-based rain streaks removal via image decomposition,”
L. W. Kang, C. W. Lin, and Y. H. Fu, · 2012
Earlier work this paper cites.
“ImageNet classification with deep convolutional neural networks,”
A. Krizhevsky, I. Sutskever, and G. E. Hinton, · 2012
Earlier work this paper cites.
“A generalized low-rank appearance model for spatio-temporally correlated rain streaks,”
Y. L. Chen and C. T. Hsu, · 2013
Earlier work this paper cites.
“Single-image deraining using an adaptive nonlocal means filter,”
J. H. Kim, C. Lee, J. Y. Sim, and C. S. Kim, · 2013
Earlier work this paper cites.
“Restoring an image taken through a window covered with dirt or rain,”
D. Eigen, D. Krishnan, and R. Fergus, · 2013
Earlier work this paper cites.
“Guided image filtering,”
K. He, J. Sun, and X. Tang, · 2013
Earlier work this paper cites.
“Rectifier nonlinearities improve neural network acoustic models,”
A. L. Maas, A. Y. Hannun, and A. Y. Ng, · 2013
Earlier work this paper cites.
“Self-learning based image decomposition with applications to single image denoising,”
D. A. Huang, L. W. Kang, Y. C. F. Wang, and C. W. Lin, · 2014
Earlier work this paper cites.
“Single-trial classification of event-related potentials in rapid serial visual presentation tasks using supervised spatial filtering,”
M. P. Eckstein H. Cecotti and B. Giesbrecht, · 2014
Earlier work this paper cites.
“Adam: A method for stochastic optimization,”
D. P. Kingma and J. Ba, · 2014
Earlier work this paper cites.
“Video deraining and desnowing using temporal correlation and low-rank matrix completion,”
J. H. Kim, J. Y. Sim, and C. S. Kim, · 2015
Cited alongside, same era.
“Removing rain from a single image via discriminative sparse coding,”
Y. Luo, Y. Xu, and H. Ji, · 2015
Cited alongside, same era.
“Blind image quality assessment via deep learning,”
W. Hou, X. Gao, D. Tao, and X. Li, · 2015
Cited alongside, same era.
“Deep generative image models using a laplacian pyramid of adversarial networks,”
E. L. Denton, S. Chintala, and R. Fergus, · 2015
Cited alongside, same era.
“Batch normalization: Accelerating deep network training by reducing internal covariate shift,”
S. Ioffe and C. Szegedy, · 2015
Cited alongside, same era.
“Faster R-CNN: Towards real-time object detection with region proposal networks,”
“Transformed low-rank model for line pattern noise removal,”
Y. Chang, L. Yan, and S. Zhong, · 2017
Later among the works it cites.
“A hierarchical approach for rain or snow removing in a single color image,”
Y. Wang, S. Liu, C. Chen, and B. Zeng, · 2017
Later among the works it cites.
“Joint bi-layer optimization for single-image rain streak removal,”
L. Zhu, C. W. Fu, D. Lischinski, and P. A. Heng, · 2017
Later among the works it cites.
“MemNet: A persistent memory network for image restoration,”
Y. Tai, J. Yang, X. Liu, and C. Xu, · 2017
Later among the works it cites.
“A memristive multilayer cellular neural network with applications to image processing,”
X. Hu, G. Feng, S. Duan, and L. Liu, · 2017
Later among the works it cites.
“Clearing the skies: A deep network architecture for single-image rain removal,”
X. Fu, J. Huang, X. Ding, Y. Liao, and J. Paisley, · 2017
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S. Ren, K. He, R. Girshick, and J. Sun, · 2015
Cited alongside, same era.
“Rain streak removal using layer priors,”
Y. Li, R. T. Tan, X. Guo, J. Lu, and M. S. Brown, · 2016
Cited alongside, same era.
“DISC: Deep image saliency computing via progressive representation learning,”
L. Liu X. Luo T. Chen, L. Lin and X. Li, · 2016
Cited alongside, same era.
“Change detection in synthetic aperture radar images based on deep neural networks,”
J. Liu Q. Miao M. Gong, J. Zhao and L. Jiao, · 2016
Cited alongside, same era.
“Deep residual learning for image recognition,”
K. He, X. Zhang, S. Ren, and J. Sun, · 2016
Cited alongside, same era.
“Image super-resolution using deep convolutional networks,”
C. Dong, C. C. Loy, K. He, and X. Tang, · 2016
Cited alongside, same era.
“Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding,”
S. Han, H. Mao, and W. J. Dally, · 2016
Cited alongside, same era.
Later among the works it cites.
“Removing rain from single images via a deep detail network,”
X. Fu, J. Huang, D. Zeng, Y. Huang, X. Ding, and J. Paisley, · 2017
Later among the works it cites.
“Deep joint rain detection and removal from a single image,”
W. Yang, R. T. Tan, J. Feng, J. Liu, Z. Guo, and S. Yan, · 2017
Later among the works it cites.
“Image de-raining using a conditional generative adversarial network,”
H. Zhang, V. Sindagi, and V. M. Patel, · 2017
Later among the works it cites.
“Image super-resolution via deep recursive residual network,”
Y. Tai, J. Yang, and X. Liu, · 2017
Later among the works it cites.
“Deep laplacian pyramid networks for fast and accurate super-resolution,”
W. S. Lai, J. B. Huang, N. Ahuja, and M. H. Yang, · 2017
Later among the works it cites.
“Convolutional neural pyramid for image processing,”
X. Shen, Y. C. Chen, X. Tao, and J. Jia, · 2017
Later among the works it cites.
“Loss functions for image restoration with neural networks,”
H. Zhao, O. Gallo, I. Frosio, and J. Kautz, · 2017
Later among the works it cites.
“Deep hyperspectral image sharpening,”
R. Dian, S. Li, A. Guo, and L. Fang, · 2018
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“Density-aware single image de-raining using a multi-stream dense network,”
H. Zhang and V.M. Patel, · 2018
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