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Taking photos of optoelectronic displays is a direct and spontaneous way of transferring data and keeping records, which is widely practiced.
Communication in the presence of noise
C. E. Shannon · 1949
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A robust technique for image descreening based on the wavelet transform
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Image descreening by ga-cnn-based texture classification
Y.-W. Shou and C.-T. Lin · 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 by sparse 3-d transform-domain collaborative filtering
K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian · 2007
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Training-based descreening
H. Siddiqui and C. A. Bouman · 2007
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Clustering-based denoising with locally learned dictionaries
P. Chatterjee and P. Milanfar · 2009
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Rectified linear units improve restricted boltzmann machines
V. Nair and G. E. Hinton · 2010
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Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, and P.-A. Manzagol · 2010
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Image denoising: Can plain neural networks compete with bm3d?
H. C. Burger, C. J. Schuler, and S. Harmeling · 2012
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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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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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Training and investigating residual nets
S. Gross and M. Wilber · 2016
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Accurate image super-resolution using very deep convolutional networks
J. Kim, J. Kwon Lee, and K. Mu Lee · 2016
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Photo-realistic single image super-resolution using a generative adversarial network
C. Ledig, L. Theis, F. Huszár, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, et al · 2016
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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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Textured image demoiréing via signal decomposition and guided filtering
J. Yang, F. Liu, H. Yue, X. Fu, C. Hou, and F. Wu · 2017
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Demoiréing for screen-shot images with multi-channel layer decomposition
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D. Kinga and J. B. Adam · 2015
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Learning super-resolution jointly from external and internal examples
Z. Wang, Y. Yang, Z. Wang, S. Chang, J. Yang, and T. S. Huang · 2015
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J. Yang, X. Zhang, C. Cai, and K. Li · 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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