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The field of image denoising is currently dominated by discriminative deep learning methods that are trained on pairs of noisy input and clean target images.
Beam damage to organic material is considerably reduced in cryo-electron microscopy
E. Knapek and J. Dubochet · 1980
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A non-local algorithm for image denoising
A. Buades, B. Coll, and J.-M. Morel · 2005
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Fields of experts: A framework for learning image priors
S. Roth and M. J. Black · 2005
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Image denoising by sparse 3-d transform-domain collaborative filtering
K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian · 2007
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Learning gaussian conditional random fields for low-level vision
M. F. Tappen, C. Liu, E. H. Adelson, and W. T. Freeman · 2007
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Natural image denoising with convolutional networks
V. Jain and S. Seung · 2009
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Fields of experts
S. Roth and M. J. Black · 2009
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Internal statistics of a single natural image
M. Zontak and M. Irani · 2011
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections
X. Mao, C. Shen, and Y.-B. Yang · 2016
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Pixel recurrent neural networks
A. Van Den Oord, N. Kalchbrenner, and K. Kavukcuoglu · 2016
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Memnet: A persistent memory network for image restoration
Y. Tai, J. Yang, X. Liu, and C. Xu · 2017
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Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
K. Zhang, W. Zuo, Y. Chen, D. Meng, and L. Zhang · 2017
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Cryo-care: Content-aware image restoration for cryo-transmission electron microscopy data
T.-O. Buchholz, M. Jordan, G. Pigino, and F. Jug · 2018
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Image blind denoising with generative adversarial network based noise modeling
J. Chen, J. Chen, H. Chao, and M. Yang · 2018
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Toward convolutional blind denoising of real photographs
S. Guo, Z. Yan, K. Zhang, W. Zuo, and L. Zhang · 2018
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Universal denoising networks: A novel cnn architecture for image denoising
S. Lefkimmiatis · 2018
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