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Blind image denoising is an important yet very challenging problem in computer vision due to the complicated acquisition process of real images.
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Pietro Perona and Jitendra Malik · 1990
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Leonid I Rudin, Stanley Osher, and Emad Fatemi · 1992
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Eero P Simoncelli and Edward H Adelson · 1996
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Statistical calibration of ccd imaging process
Yanghai Tsin, Visvanathan Ramesh, and Takeo Kanade · 2001
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A non-local algorithm for image denoising
Antoni Buades, Bartomeu Coll, and J-M Morel · 2005
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K-svd: An algorithm for designing overcomplete dictionaries for sparse representation
Michal Aharon, Michael Elad, Alfred Bruckstein, et al · 2006
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Pattern recognition and machine learning
Christopher M Bishop · 2006
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Variational inference for dirichlet process mixtures
David M Blei, Michael I Jordan, et al · 2006
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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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Sparse representation for color image restoration
Julien Mairal, Michael Elad, and Guillermo Sapiro · 2008
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Natural image denoising with convolutional networks
Viren Jain and Sebastian Seung · 2009
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Fields of experts
Stefan Roth and Michael J Black · 2009
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Contour detection and hierarchical image segmentation
Pablo Arbelaez, Michael Maire, Charless Fowlkes, and Jitendra Malik · 2011
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Image denoising: Can plain neural networks compete with bm3d?
Harold C Burger, Christian J Schuler, and Stefan Harmeling · 2012
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Nonlocally centralized sparse representation for image restoration
Weisheng Dong, Lei Zhang, Guangming Shi, and Xin Li · 2012
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Image denoising and inpainting with deep neural networks
Junyuan Xie, Linli Xu, and Enhong Chen · 2012
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Adaptive multi-column deep neural networks with application to robust image denoising
Forest Agostinelli, Michael R Anderson, and Honglak Lee · 2013
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Nonlocal image restoration with bilateral variance estimation: a low-rank approach
Weisheng Dong, Guangming Shi, and Xin Li · 2013
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Nonlocal transform-domain filter for volumetric data denoising and reconstruction
Matteo Maggioni, Vladimir Katkovnik, Karen Egiazarian, and Alessandro Foi · 2013
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Renoir - a dataset for real low-light noise image reduction
Josue Anaya and Adrian Barbu · 2014
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Benchmarking denoising algorithms with real photographs
Tobias Plotz and Stefan Roth · 2017
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Memnet: A persistent memory network for image restoration
Ying Tai, Jian Yang, Xiaoming Liu, and Chunyan Xu · 2017
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Robust online matrix factorization for dynamic background subtraction
Hongwei Yong, Deyu Meng, Wangmeng Zuo, and Lei Zhang · 2017
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Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, and Lei Zhang · 2017
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Blind image denoising via dependent dirichlet process tree
Fengyuan Zhu, Guangyong Chen, Jianye Hao, and Pheng-Ann Heng · 2017
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A high-quality denoising dataset for smartphone cameras
Abdelrahman Abdelhamed, Stephen Lin, and Michael S. Brown · 2018
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Scalable multi-label annotation
Jia Deng, Olga Russakovsky, Jonathan Krause, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2014
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Weighted nuclear norm minimization with application to image denoising
Shuhang Gu, Lei Zhang, Wangmeng Zuo, and Xiangchu Feng · 2014
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Lei Ba · 2015
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Multiscale image blind denoising
Marc Lebrun, Miguel Colom, and Jean-Michel Morel · 2015
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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 learning
Ian Goodfellow, Yoshua Bengio, and Aaron Courville · 2016
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Unprocessing images for learned raw denoising
Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, and Jonathan T Barron · 2018
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Toward convolutional blind denoising of real photographs
Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, and Lei Zhang · 2018
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Universal denoising networks: a novel cnn architecture for image denoising
Stamatios Lefkimmiatis · 2018
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Non-local recurrent network for image restoration
Ding Liu, Bihan Wen, Yuchen Fan, Chen Change Loy, and Thomas S Huang · 2018
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Neural nearest neighbors networks
Tobias Plötz and Stefan Roth · 2018
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Neural nearest neighbors networks
Tobias Plötz and Stefan Roth · 2018
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A trilateral weighted sparse coding scheme for real-world image denoising
Jun Xu, Lei Zhang, and David Zhang · 2018
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Hyperspectral image restoration under complex multi-band noises
Zongsheng Yue, Deyu Meng, Yongqing Sun, and Qian Zhao · 2018
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Ffdnet: Toward a fast and flexible solution for cnn-based image denoising
Kai Zhang, Wangmeng Zuo, and Lei Zhang · 2018
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Residual dense network for image super-resolution
Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, and Yun Fu · 2018
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