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In this paper, we address the problem of estimating and removing non-uniform motion blur from a single blurry image.
Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
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Removing camera shake from a single photograph
R. Fergus, B. Singh, A. Hertzmann, S. Roweis, and W. Freeman · 2006
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Removing non-uniform motion blur from images
S. Cho, Y. Matsushita, and S. Lee · 2007
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Blind motion deblurring using image statistics
A. Levin · 2007
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Image deblurring with blurred/noisy image pairs
L. Yuan, J. Sun, L. Quan, and H. Shum · 2007
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Motion from blur
S. Dai and Y. Wu · 2008
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Psf estimation using sharp edge prediction
N. Joshi, R. Szeliski, and D. Kriegman · 2008
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A comparative study of energy minimization methods for markov random fields with smoothness-based priors
R. Szeliski, R. Zabih, D. Scharstein, O. Veksler, Kolmogorov, and et.al · 2008
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Fast image deconvolution using hyper-laplacian priors
D. Krishnan and R. Fergus · 2009
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Analyzing spatially-varying blur
A. Chakrabarti, T. Zickler, and W. Freeman · 2010
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Single image deblurring using motion density functions
A. Gupta, N. Joshi, C. Lawrence Zitnick, M. Cohen, and B. Curless · 2010
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Two-phase kernel estimation for robust motion deblurring
L. Xu and J. Jia · 2010
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Fast removal of non-uniform camera shake
M. Hirsch, C. Schuler, S. Harmeling, and B. Scholkopf · 2011
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Efficient marginal likelihood optimization in blind deconvolution
A. Levin, Y. Weiss, F. Durand, and W. T. Freeman · 2011
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Richardson-lucy deblurring for scenes under a projective motion path
Y. Tai, P. Tan, and M. Brown · 2011
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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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Good regions to deblur
Z. Hu and M. Yang · 2012
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Non-uniform motion deblurring for bilayer scenes
C. Paramanand and A. N. Rajagopalan · 2013
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Discriminative non-blind deblurring
U. Schmidt, C. Rother, S. Nowozin, J. Jancsary, and S. Roth · 2013
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A machine learning approach for non-blind image deconvolution
C. J. Schuler, H. C. Burger, S. Harmeling, and B. Scholkopf · 2013
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Unnatural l0 sparse representation for natural image deblurring
L. Xu, S. Zheng, and J. Jia · 2013
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Forward motion deblurring
S. Zheng, L. Xu, and J. Jia · 2013
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Convolutional neural networks for no-reference image quality assessment
L. Kang, P. Ye, Y. Li, and D. Doermann · 2014
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A two-stage approach to blind spatially-varying motion deblurring
H. Ji and K. Wang · 2012
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Non-uniform deblurring for shaken images
O. Whyte, J. Sivic, A. Zisserman, and J. Ponce · 2012
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Learning to estimate and remove non-uniform image blur
F. Couzinié-Devy, J. Sun, K. Alahari, and J. Ponce · 2013
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Decaf: A deep convolutional activation feature for generic visual recognition
J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, and T. Darrell · 2013
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Segmentation-free dynamic scene deblurring
T. H. Kim and K. M. Lee · 2014
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Blind deblurring using internal patch recurrence
T. Michaeli and M. Irani · 2014
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Good image priors for non-blind deconvolution
L. Sun, S. Cho, J. Wang, and J. Hays · 2014
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Deep convolutional neural network for image deconvolution
L. Xu, J. S. Ren, C. Liu, and J. Jia · 2014
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