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The fields of signal and image processing have been deeply influenced by the introduction of deep neural networks.
Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition
Y. C. Pati, R. Rezaiifar, and P. S. Krishnaprasad · 1993
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Matching pursuits with time-frequency dictionaries
S. Mallat and Z. Zhang · 1993
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Sparse approximate solutions to linear systems
B. Natarajan · 1995
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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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Image denoising via sparse and redundant representations over learned dictionaries
M. Elad and M. Aharon · 2006
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Image denoising with block-matching and 3d filtering
K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian · 2006
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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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Stable recovery of sparse overcomplete representations in the presence of noise
D. L. Donoho, M. Elad, and V. N. Temlyakov · 2006
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Just relax: convex programming methods for identifying sparse signals in noise
J. A. Tropp · 2006
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Multiscale sparse image representationwith learned dictionaries
J. Mairal, G. Sapiro, and M. Elad · 2007
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Sparse representation for color image restoration
J. Mairal, M. Elad, and G. Sapiro · 2008
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Compressed sensing mri
M. Lustig, D. L. Donoho, J. M. Santos, and J. M. Pauly · 2008
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Mmse approximation for denoising using several sparse representations
I. Yavneh and M. Elad · 2008
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The matrix cookbook, October 2008
K. B. Petersen and M. S. Pedersen · 2008
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Efficient implementation of the k-svd algorithm using batch orthogonal matching pursuit
R. Rubinstein, M. Zibulevsky, and M. Elad · 2008
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Linear spatial pyramid matching using sparse coding for image classification
J. Yang, K. Yu, Y. Gong, and T. Huang · 2009
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Robust face recognition via sparse representation
J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry, and Y. Ma · 2009
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Subspace pursuit for compressive sensing signal reconstruction
W. Dai and O. Milenkovic · 2009
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Learning fast approximations of sparse coding
K. Gregor and Y. LeCun · 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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Image super-resolution via sparse representation
J. Yang, J. Wright, T.S. Huang, and Y. Ma · 2010
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Coherence-based performance guarantees for estimating a sparse vector under random noise
Z. Ben-Haim, Y. C. Eldar, and M. Elad · 2010
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From learning models of natural image patches to whole image restoration
D. Zoran and Y. Weiss · 2011
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Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization
W. Dong, L. Zhang, G. Shi, and X. Wu · 2011
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Contour detection and hierarchical image segmentation
P. Arbeláez, M. Maire, C. Fowlkes, and J. Malik · 2011
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Adaptive image compression using sparse dictionaries
I. Horev, O. Bryt, and R. Rubinstein · 2012
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Shift-invariant sparse coding for audio classification
R. Grosse, R. Raina, H. Kwong, and A. Ng · 2012
Deep multi-scale convolutional neural network for dynamic scene deblurring
S. Nah, T. H. Kim, and K. M. Lee · 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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Working locally thinking globally: Theoretical guarantees for convolutional sparse coding
V. Papyan, J. Sulam, and M. Elad · 2017
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Waterloo exploration database: New challenges for image quality assessment models
K. Ma, Z. Duanmu, Q. Wu, Z. Wang, H. Yong, H. Li, and L. Zhang · 2017
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Removing rain from single images via a deep detail network
X. Fu, J. Huang, D. Zeng, Y. Huang, X. Ding, and J. Paisley · 2017
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Context-aware single image rain removal
D. Huang, L. Kang, M. Yang, C. Lin, and Y. F. Wang · 2012
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Nonlocal image restoration with bilateral variance estimation: A low-rank approach
W. Dong, G. Shi, and X. Li · 2013
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Sparse representation classifier steered discriminative projection with applications to face recognition
J. Yang, D. Chu, L. Zhang, Y. Xu, and J. Yang · 2013
Cited alongside, same era.
Weighted nuclear norm minimization with application to image denoising
S. Gu, L. Zhang, W. Zuo, and X. Feng · 2014
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Group-based sparse representation for image restoration
J. Zhang, D. Zhao, and W. Gao · 2014
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Sparsity based poisson inpainting
R. Giryes and M. Elad · 2014
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K. Zhang, W. Zuo, and L. Zhang · 2018
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Learned convolutional sparse coding
H. Sreter and R. Giryes · 2018
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Double-image compression and encryption algorithm based on co-sparse representation and random pixel exchanging
N. Zhou, H. Jiang, L. Gong, and X. Xie · 2018
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Theoretical linear convergence of unfolded ista and its practical weights and thresholds
X. Chen, J. Liu, Z. Wang, and W. Yin · 2018
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Ista-net: Interpretable optimization-inspired deep network for image compressive sensing
J. Zhang and B. Ghanem · 2018
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Matching pursuit based convolutional sparse coding
E. Plaut and R. Giryes · 2018
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Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing
V. Monga, Y. Li, and Y. C. Eldar · 2019
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Rethinking the csc model for natural images
D. Simon and M. Elad · 2019
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M. Scetbon, M. Elad, and P. Milanfar · 2019
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Revisiting non local sparse models for image restoration
B. Lecouat, J. Ponce, and J. Mairal · 2019
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Alista: Analytic weights are as good as learned weights in lista
J. Liu and X. Chen · 2019
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Progressive image deraining networks: A better and simpler baseline
D. Ren, W. Zuo, Q. Hu, P. Zhu, and D. Meng · 2019
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Efficient and interpretable deep blind image deblurring via algorithm unrolling
Y. Li, M. Tofighi, J. Geng, V. Monga, and Y. C. Eldar · 2020
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Lidia: Lightweight learned image denoising with instance adaptation
G. Vaksman, M. Elad, and P. Milanfar · 2020
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Joint rain detection and removal from a single image with contextualized deep networks
W. Yang, R. T. Tan, J. Feng, Z. Guo, S. Yan, and J. Liu · 2020
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