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Most of existing image denoising methods learn image priors from either external data or the noisy image itself to remove noise.
The approximation of one matrix by another of lower rank
C. Eckart and G. Young · 1936
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A theorem on the trace of certain matrix products and some applications
Walter Kristof · 1970
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A generalization of kristof’s theorem on the trace of certain matrix products
Jos M. F. Ten Berge · 1983
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Radiometric CCD camera calibration and noise estimation
G. E Healey and R. Kondepudy · 1994
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Bilateral filtering for gray and color images
C. Tomasi and R. Manduchi · 1998
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Adaptive wavelet thresholding for image denoising and compression
S. G. Chang, B. Yu, and M. Vetterli · 2000
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Statistical calibration of ccd imaging process
Y. Tsin, Visvanathan Ramesh, and Takeo Kanade · 2001
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Uncertainty principles and ideal atomic decomposition
D. L. Donoho and X. Huo · 2001
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The curvelet transform for image denoising
J. L. Starck, E. J. Candès, and D. L. Donoho · 2002
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Image denoising using scale mixtures of Gaussians in the wavelet domain
J. Portilla, V. Strela, M.J. Wainwright, and E.P. Simoncelli · 2003
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Full blind denoising through noise covariance estimation using Gaussian scale mixtures in the wavelet domain
J. Portilla · 2004
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Image quality assessment: from error visibility to structural similarity
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli · 2004
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A non-local algorithm for image denoising
A. Buades, B. Coll, and J. M. Morel · 2005
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Robust estimation approach for blind denoising
T. Rabie · 2005
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Image denoising via sparse and redundant representations over learned dictionaries
M. Elad and M. Aharon · 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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Color image denoising via sparse 3D collaborative filtering with grouping constraint in luminance-chrominance space
K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian · 2007
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Bayesian non-local means filter, image redundancy and adaptive dictionaries for noise removal
C. Kervrann, J. Boulanger, and P. Coupé · 2007
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Wavelets, ridgelets, and curvelets for poisson noise removal
B. Zhang, J. M. Fadili, and J. L. Starck · 2008
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Practical poissonian-gaussian noise modeling and fitting for single-image raw-data
A. Foi, M. Trimeche, V. Katkovnik, and K. Egiazarian · 2008
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Automatic estimation and removal of noise from a single image
C. Liu, R. Szeliski, S. Bing Kang, C. L. Zitnick, and W. T. Freeman · 2008
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Non-local sparse models for image restoration
J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman · 2009
Cited alongside, same era.
Fields of experts
S. Roth and M. J. Black · 2009
Cited alongside, same era.
Training an active random field for real-time image denoising
Adrian Barbu · 2009
Cited alongside, same era.
From learning models of natural image patches to whole image restoration
D. Zoran and Y. Weiss · 2011
Cited alongside, same era.
Image denoising in mixed Poisson-Gaussian noise
F. Luisier, T. Blu, and M. Unser · 2011
Cited alongside, same era.
Mixed noise removal by weighted encoding with sparse nonlocal regularization
Jielin Jiang, Lei Zhang, and Jian Yang · 2014
Later among the works it cites.
Image restoration with mixed or unknown noises
Z. Gong, Z. Shen, and K.-C. Toh · 2014
Later among the works it cites.
Patch group based nonlocal self-similarity prior learning for image denoising
J. Xu, L. Zhang, W. Zuo, D. Zhang, and X. Feng · 2015
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External patch prior guided internal clustering for image denoising
Fei Chen, Lei Zhang, and Huimin Yu · 2015
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Adaptive image denoising by targeted databases
Enming Luo, Stanley H Chan, and Truong Q Nguyen · 2015
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On learning optimized reaction diffusion processes for effective image restoration
Y. Chen, W. Yu, and T. Pock · 2015
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R. Vidal · 2011
Cited alongside, same era.
Nonparametric bayesian dictionary learning for analysis of noisy and incomplete images
Mingyuan Zhou, Haojun Chen, John Paisley, Lu Ren, Lingbo Li, Zhengming Xing, David Dunson, Guillermo Sapiro, and Lawrence Carin · 2012
Cited alongside, same era.
Image denoising: Can plain neural networks compete with BM3D?
H. C. Burger, C. J. Schuler, and S. Harmeling · 2012
Cited alongside, same era.
Image denoising and inpainting with deep neural networks
Junyuan Xie, Linli Xu, and Enhong Chen · 2012
Cited alongside, same era.
A new in-camera imaging model for color computer vision and its application
S. J. Kim, H. T. Lin, Z. Lu, S. Süsstrunk, S. Lin, and M. S. Brown · 2012
Cited alongside, same era.
Nonlocally centralized sparse representation for image restoration
W. Dong, L. Zhang, G. Shi, and X. Li · 2013
Cited alongside, same era.
Later among the works it cites.
Multiscale image blind denoising
M. Lebrun, M. Colom, and J.-M. Morel · 2015
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The noise clinic: a blind image denoising algorithm
M. Lebrun, M. Colom, and J. M. Morel · 2015
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Reweighted sparse subspace clustering
J. Xu, K. Xu, K. Chen, and J. Ruan · 2015
Later among the works it cites.
An efficient statistical method for image noise level estimation
G. Chen, F. Zhu, and A. H. Pheng · 2015
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Removing mixture of gaussian and impulse noise by patch-based weighted means
Haijuan Hu, Bing Li, and Quansheng Liu · 2016
Later among the works it cites.
Patch group based bayesian learning for blind image denoising
Jun Xu, Dongwei Ren, Lei Zhang, and David Zhang · 2016
Later among the works it cites.
From noise modeling to blind image denoising
F. Zhu, G. Chen, and P.-A. Heng · 2016
Later among the works it cites.
A holistic approach to cross-channel image noise modeling and its application to image denoising
S. Nam, Y. Hwang, Y. Matsushita, and S. J. Kim · 2016
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A software platform for manipulating the camera imaging pipeline
H. C. Karaimer and M. S. Brown · 2016
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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
Closest in time.
Multi-channel weighted nuclear norm minimization for real color image denoising
Jun Xu, Lei Zhang, David Zhang, and Xiangchu Feng · 2017
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Benchmarking denoising algorithms with real photographs
T. Plötz and S. Roth · 2017
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Partial deconvolution with inaccurate blur kernel
D. Ren, W. Zuo, D. Zhang, J. Xu, and L. Zhang · 2018
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