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We present a new method for blind motion deblurring that uses a neural network trained to compute estimates of sharp image patches from observations that are blurred by an unknown motion kernel.
Nonlinear image recovery with half-quadratic regularization
Geman, D., Yang, C.: · 1995
Earlier work this paper cites.
Introduction to Random Signals and Applied Kalman Filtering. 3 edn
Brown, R.G., Hwang, P.Y.: · 1996
Earlier work this paper cites.
Efficient backprop
LeCun, Y., Bottou, L., Orr, G., Muller, K.: · 1998
Earlier work this paper cites.
Removing camera shake from a single photograph
Fergus, R., Singh, B., Hertzmann, A., Roweis, S.T., Freeman, W.T.: · 2006
Earlier work this paper cites.
Fast motion deblurring
Cho, S., Lee, S.: · 2009
Earlier work this paper cites.
Understanding and evaluating blind deconvolution algorithms
Levin, A., Weiss, Y., Durand, F., Freeman, W.T.: · 2009
Earlier work this paper cites.
Two-phase kernel estimation for robust motion deblurring
Xu, L., Jia, J.: · 2010
Earlier work this paper cites.
Rectified linear units improve restricted boltzmann machines
Nair, V., Hinton, G.E.: · 2010
Earlier work this paper cites.
Efficient marginal likelihood optimization in blind deconvolution
Levin, A., Weiss, Y., Durand, F., Freeman, W.T.: · 2011
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Blind deconvolution using a normalized sparsity measure
Krishnan, D., Tay, T., Fergus, R.: · 2011
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Blur kernel estimation using the radon transform
Cho, T.S., Paris, S., Horn, B.K., Freeman, W.T.: · 2011
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From learning models of natural image patches to whole image restoration
Zoran, D., Weiss, Y.: · 2011
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Image denoising: Can plain neural networks compete with BM3D?
Burger, H.C., Schuler, C.J., Harmeling, S.: · 2012
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Edge-based blur kernel estimation using patch priors
Sun, L., Cho, S., Wang, J., Hays, J.: · 2013
A machine learning approach for non-blind image deconvolution
Schuler, C.J., Burger, H.C., Harmeling, S., Scholkopf, B.: · 2013
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Blind deblurring using internal patch recurrence
Michaeli, T., Irani, M.: · 2014
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Deep convolutional neural network for image deconvolution
Xu, L., Ren, J.S., Liu, C., Jia, J.: · 2014
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The pascal visual object classes challenge: A retrospective
Everingham, M., Eslami, S.A., Van Gool, L., Williams, C.K., Winn, J., Zisserman, A.: · 2014
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Convolutional neural networks for direct text deblurring
Hradiš, M., Kotera, J., Zemcík, P., Šroubek, F.: · 2015
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Learning a convolutional neural network for non-uniform motion blur removal
Sun, J., Cao, W., Xu, Z., Ponce, J.: · 2015
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Restoring an image taken through a window covered with dirt or rain
Eigen, D., Krishnan, D., Fergus, R.: · 2013
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Learning to deblur
Schuler, C.J., Hirsch, M., Harmeling, S., Schölkopf, B.: · 2015
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