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We present a highly accurate single-image super-resolution (SR) method.
Lanczos filtering in one and two dimensions
C. E. Duchon · 1979
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Improving resolution by image registration
M. Irani and S. Peleg · 1991
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Learning long-term dependencies with gradient descent is difficult
Y. Bengio, P. Simard, and P. Frasconi · 1994
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Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
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Learning low-level vision
W. T. Freeman, E. C. Pasztor, and O. T. Carmichael · 2000
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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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Super-resolution through neighbor embedding
H. Chang, D.-Y. Yeung, and Y. Xiong · 2004
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Image super-resolution using gradient profile prior
J. Sun, Z. Xu, and H.-Y. Shum · 2008
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Super-resolution from a single image
D. Glasner, S. Bagon, and M. Irani · 2009
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Single-image super-resolution using sparse regression and natural image prior
K. I. Kim and Y. Kwon · 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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Low-complexity single-image super-resolution based on nonnegative neighbor embedding
C. G. Marco Bevilacqua, Aline Roumy and M.-L. A. Morel · 2012
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On single image scale-up using sparse-representations
R. Zeyde, M. Elad, and M. Protter · 2012
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Super-resolution using neighbor embedding of back-projection residuals
M. Bevilacqua, A. Roumy, C. Guillemot, and M.-L. Morel · 2013
Cited alongside, same era.
On the difficulty of training recurrent neural networks
R. Pascanu, T. Mikolov, and Y. Bengio · 2013
Cited alongside, same era.
A+: Adjusted anchored neighborhood regression for fast super-resolution
R. Timofte, V. De Smet, and L. Van Gool · 2014
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Matconvnet – convolutional neural networks for matlab
A. Vedaldi and K. Lenc · 2014
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Deep learning
Y. Bengio, I. J. Goodfellow, and A. Courville · 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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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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Single image super-resolution using transformed self-exemplars
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Anchored neighborhood regression for fast example-based super-resolution
R. Timofte, V. De, and L. V. Gool · 2013
Cited alongside, same era.
Fast direct super-resolution by simple functions
C.-Y. Yang and M.-H. Yang · 2013
Cited alongside, same era.
Learning a deep convolutional network for image super-resolution
C. Dong, C. C. Loy, K. He, and X. Tang · 2014
Cited alongside, same era.
J.-B. Huang, A. Singh, and N. Ahuja · 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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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
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