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Most of previous image denoising methods focus on additive white Gaussian noise (AWGN).
Radiometric CCD camera calibration and noise estimation
G. E Healey and R. Kondepudy · 1994
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Statistical calibration of ccd imaging process
Y. Tsin, Visvanathan Ramesh, and Takeo Kanade · 2001
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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 statistical evaluation of recent full reference image quality assessment algorithms
H. R. Sheikh, M. F. Sabir, and A. C. Bovik · 2006
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Denoising archival films using a learned bayesian model
Teodor Mihai Moldovan, Stefan Roth, and Michael J Black · 2006
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Noise measurement for raw-data of digital imaging sensors by automatic segmentation of nonuniform targets
A. Foi, S. Alenius, V. Katkovnik, and K. Egiazarian · 2007
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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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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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Sparse representation for color image restoration
J. Mairal, M. Elad, and G. Sapiro · 2008
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Tid2008-a database for evaluation of full-reference visual quality assessment metrics
Nikolay Ponomarenko, Vladimir Lukin, Alexander Zelensky, and Karen Egiazarian · 2009
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A two-step framework for constructing blind image quality indices
Anush Krishna Moorthy and Alan Conrad Bovik · 2010
Earlier work this paper cites.
From learning models of natural image patches to whole image restoration
D. Zoran and Y. Weiss · 2011
Cited alongside, same era.
Blind image quality assessment: A natural scene statistics approach in the dct domain
Michele A Saad, Alan C Bovik, and Christophe Charrier · 2012
Cited alongside, same era.
Emva standard 1288: Standard for characterization of image sensors and cameras
European Machine Vision Association · 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.
Nonlocally centralized sparse representation for image restoration
W. Dong, L. Zhang, G. Shi, and X. Li · 2013
Cited alongside, same era.
Single-image noise level estimation for blind denoising
X. Liu, M. Tanaka, and M. Okutomi · 2013
Multiscale image blind denoising
M. Lebrun, M. Colom, and J.-M. Morel · 2015
Later among the works it cites.
The noise clinic: a blind image denoising algorithm
M. Lebrun, M. Colom, and J. M. Morel · 2015
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Patch group based nonlocal self-similarity prior learning for image denoising
Jun Xu, Lei Zhang, Wangmeng Zuo, David Zhang, and Xiangchu Feng · 2015
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An efficient statistical method for image noise level estimation
G. Chen, F. Zhu, and A. H. Pheng · 2015
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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Benchmarking denoising algorithms with real photographs
Tobias Plötz and Stefan Roth · 2017
Later among the works it cites.
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Cited alongside, same era.
Renoir - a dataset for real low-light noise image reduction
Josue Anaya and Adrian Barbu · 2014
Cited alongside, same era.
Practical signal-dependent noise parameter estimation from a single noisy image
X. Liu, M. Tanaka, and M. Okutomi · 2014
Cited alongside, same era.
Shrinkage fields for effective image restoration
U. Schmidt and S. Roth · 2014
Cited alongside, same era.
Weighted nuclear norm minimization with application to image denoising
S. Gu, L. Zhang, W. Zuo, and X. Feng · 2014
Cited alongside, same era.
On learning optimized reaction diffusion processes for effective image restoration
Y. Chen, W. Yu, and T. Pock · 2015
Cited alongside, same era.
Neat Image
Neatlab ABSoft
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https://explorecams.com/stats/top/models
The most commonly used camera-lens combinations · 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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External prior guided internal prior learning for real noisy image denoising
Jun Xu, Lei Zhang, and David Zhang · 2017
Later among the works it cites.
Multi-channel weighted nuclear norm minimization for real color image denoising
Jun Xu, Lei Zhang, David Zhang, and Xiangchu Feng · 2017
Later among the works it cites.
A trilateral weigted sparse coding scheme for robust image denoising
Jun Xu, Lei Zhang, and David Zhang · 2017
Later among the works it cites.