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This work considers noise removal from images, focusing on the well known K-SVD denoising algorithm.
Atomic decomposition by basis pursuit
S. S. Chen, D. L. Donoho, and M. A. Saunders · 2001
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A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
D. Martin, C. Fowlkes, D. Tal, and J. Malik · 2001
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Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ 1 \mathchar 352_{\mathchar 28721} minimization
D. L. Donoho and M. Elad · 2003
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An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
I. Daubechies, M. Defrise, and C. De Mol · 2004
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Stable recovery of sparse overcomplete representations in the presence of noise
D. L. Donoho, M. Elad, and V. N. Temlyakov · 2005
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K-svd: An algorithm for designing overcomplete dictionaries for sparse representation
M. Aharon, M. Elad, and A. Bruckstein · 2006
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Image denoising via sparse and redundant representations over learned dictionaries
M. Elad and M. Aharon · 2006
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Kernel regression for image processing and reconstruction
H. Takeda, S. Farsiu, P. Milanfar, et al · 2006
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Just relax: Convex programming methods for identifying sparse signals in noise
J. A. Tropp · 2006
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Video denoising by sparse 3d transform-domain collaborative filtering
K. Dabov, A. Foi, and K. Egiazarian · 2007
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Weighted averaging for denoising with overcomplete dictionaries
O. O. Guleryuz · 2007
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Multiscale sparse image representationwith learned dictionaries
J. Mairal, G. Sapiro, and M. Elad · 2007
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Learning multiscale sparse representations for image and video restoration
J. Mairal, G. Sapiro, and M. Elad · 2008
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A plurality of sparse representations is better than the sparsest one alone
M. Elad and I. Yavneh · 2009
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Non-local sparse models for image restoration
J. Mairal, F. R. Bach, J. Ponce, G. Sapiro, and A. Zisserman · 2009
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Fields of experts
S. Roth and M. J. Black · 2009
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Fast image recovery using variable splitting and constrained optimization
M. V. Afonso, J. M. Bioucas-Dias, and M. A. Figueiredo · 2010
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Sparse and redundant representations: from theory to applications in signal and image processing
M. Elad · 2010
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Learning fast approximations of sparse coding
K. Gregor and Y. LeCun · 2010
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Multi-scale dictionary learning using wavelets
B. Ophir, M. Lustig, and M. Elad · 2011
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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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Seven ways to improve example-based single image super resolution
R. Timofte, R. Rothe, and L. Van Gool · 2016
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Non-local color image denoising with convolutional neural networks
S. Lefkimmiatis · 2017
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Convolutional neural networks analyzed via convolutional sparse coding
V. Papyan, Y. Romano, and M. Elad · 2017
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Benchmarking denoising algorithms with real photographs
T. Plotz and S. Roth · 2017
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The little engine that could: Regularization by denoising (red)
Y. Romano, M. Elad, and P. Milanfar · 2017
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D. Zoran and Y. Weiss · 2011
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Digital image restoration
A. K. Katsaggelos · 2012
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Weighted nuclear norm minimization with application to image denoising
S. Gu, L. Zhang, W. Zuo, and X. Feng · 2014
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Image denoising through multi-scale learnt dictionaries
J. Sulam, B. Ophir, and M. Elad · 2014
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Multi-scale patch-based image restoration
V. Papyan and M. Elad · 2015
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Boosting of image denoising algorithms
Y. Romano and M. Elad · 2015
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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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Universal denoising networks: a novel cnn architecture for image denoising
S. Lefkimmiatis · 2018
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Non-local recurrent network for image restoration
D. Liu, B. Wen, Y. Fan, C. C. Loy, and T. S. Huang · 2018
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Deep image prior
D. Ulyanov, A. Vedaldi, and V. Lempitsky · 2018
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Multi-scale weighted nuclear norm image restoration
N. Yair and T. Michaeli · 2018
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Ffdnet: Toward a fast and flexible solution for cnn-based image denoising
K. Zhang, W. Zuo, and L. Zhang · 2018
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Rethinking the csc model for natural images
D. Simon and M. Elad · 2019
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Lidia: Lightweight learned image denoising with instance adaptation
G. Vaksman, M. Elad, and P. Milanfar · 2020
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