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Recently, several models based on deep neural networks have achieved great success in terms of both reconstruction accuracy and computational performance for single image super-resolution.
Handwritten digit recognition with a back-propagation network
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Complex wavelets for shift invariant analysis and filtering of signals
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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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Superresolution in MRI: application to human white matter fiber tract visualization by diffusion tensor imaging
S. Peled and Y. Yeshurun · 2001
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Rapid object detection using a boosted cascade of simple features
P. Viola and M. Jones · 2001
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Eigenface-domain super-resolution for face recognition
B. K. Gunturk, A. U. Batur, Y. Altunbasak, M. H. Hayes, and R. M. Mersereau · 2003
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Super-resolution through neighbor embedding
H. Chang, D.-Y. Yeung, and Y. Xiong · 2004
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Fast and robust multiframe super resolution
S. Farsiu, M. D. Robinson, M. Elad, and P. Milanfar · 2004
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Efficient learning of sparse representations with an energy-based model
C. Poultney, S. Chopra, Y. L. Cun, et al · 2006
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Sub-pixel mapping of rural land cover objects from fine spatial resolution satellite sensor imagery using super-resolution pixel-swapping
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Iris recognition algorithm using modified log-gabor filters
P. Yao, J. Li, X. Ye, Z. Zhuang, and B. Li · 2006
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A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
S. Mallat · 2008
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Super-resolution from a single image
D. Glasner, S. Bagon, and M. Irani · 2009
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Super-resolution without explicit subpixel motion estimation
H. Takeda, P. Milanfar, M. Protter, and M. Elad · 2009
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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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Image super-resolution via sparse representation
J. Yang, J. Wright, T. Huang, and Y. Ma · 2010
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A super-resolution reconstruction algorithm for surveillance images
L. Zhang, H. Zhang, H. Shen, and P. Li · 2010
Cited alongside, same era.
Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization
W. Dong, L. Zhang, G. Shi, and X. Wu · 2011
Cited alongside, same era.
Single image super-resolution using gaussian process regression
H. He and W.-C. Siu · 2011
Cited alongside, same era.
A bayesian approach to adaptive video super resolution
C. Liu and D. Sun · 2011
Cited alongside, same era.
Space-time super-resolution from a single video
O. Shahar, A. Faktor, and M. Irani · 2011
Cited alongside, same era.
Gradient profile prior and its applications in image super-resolution and enhancement
J. Sun, Z. Xu, and H.-Y. Shum · 2011
Cited alongside, same era.
Deep network cascade for image super-resolution
Z. Cui, H. Chang, S. Shan, B. Zhong, and X. Chen · 2014
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Learning a deep convolutional network for image super-resolution
C. Dong, C. C. Loy, K. He, and X. Tang · 2014
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Super-resolution System for 4K-HDTV
T. Goto, T. Fukuoka, F. Nagashima, S. Hirano, and M. Sakurai · 2014
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2014
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Image super-resolution with fast approximate convolutional sparse coding
C. Osendorfer, H. Soyer, and P. van der Smagt · 2014
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Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al · 2014
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Adaptive deconvolutional networks for mid and high level feature learning
M. D. Zeiler, G. W. Taylor, and R. Fergus · 2011
Cited alongside, same era.
Image super-resolution with sparse neighbor embedding
X. Gao, K. Zhang, D. Tao, and X. Li · 2012
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Cited alongside, same era.
Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis
S. Wang, L. Zhang, Y. Liang, and Q. Pan · 2012
Cited alongside, same era.
On single image scale-up using sparse-representations
R. Zeyde, M. Elad, and M. Protter · 2012
Cited alongside, same era.
Multi-scale dictionary for single image super-resolution
K. Zhang, X. Gao, D. Tao, and X. Li · 2012
Cited alongside, same era.
Later among the works it cites.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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A+: Adjusted anchored neighborhood regression for fast super-resolution
R. Timofte, V. De Smet, and L. Van Gool · 2014
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Single-image super-resolution: A benchmark
C.-Y. Yang, C. Ma, and M.-H. Yang · 2014
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Visualizing and understanding convolutional networks
M. D. Zeiler and R. Fergus · 2014
Later among the works it cites.
Single image super-resolution using deformable patches
Y. Zhu, Y. Zhang, and A. L. Yuille · 2014
Later among the works it cites.
Y. Chen and T. Pock · 2015
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Jointly optimized regressors for image super-resolution
D. Dai, R. Timofte, and L. Van Gool · 2015
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Image super-resolution using deep convolutional networks
C. Dong, C. C. Loy, K. He, and X. Tang · 2015
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Fast and accurate image upscaling with super-resolution forests
S. Schulter, C. Leistner, and H. Bischof · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Learning spatiotemporal features with 3d convolutional networks
D. Tran, L. Bourdev, R. Fergus, L. Torresani, and M. Paluri · 2015
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Deeply improved sparse coding for image super-resolution
Z. Wang, D. Liu, J. Yang, W. Han, and T. Huang · 2015
Later among the works it cites.