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Blind image deblurring remains a challenging problem for modern artificial neural networks.
Phase retrieval algorithms: a comparison
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Backpropagation applied to handwritten zip code recognition
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Total variation blind deconvolution
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A direct method for restoration of motion blurred images
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Removing camera shake from a single photograph
Rob Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis, and William T. Freeman · 2006
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Anat Levin · 2006
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High-quality motion deblurring from a single image
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Fast motion deblurring
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Fast removal of non-uniform camera shake
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Blind deconvolution using a normalized sparsity measure
D. Krishnan, T. Tay, and R. Fergus · 2011
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Anat Levin, Yair Weiss, Fredo Durand, and William T. Freeman · 2011
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Deblurring shaken and partially saturated images
Oliver Whyte, Josef Sivic, and Andrew Zisserman · 2011
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From learning models of natural image patches to whole image restoration
Daniel Zoran and Yair Weiss · 2011
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Blur-kernel estimation from spectral irregularities
Amit Goldstein and Raanan Fattal · 2012
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Psf estimation via gradient domain correlation
Wei Hu, Jianru Xue, and Nanning Zheng · 2012
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Recording and playback of camera shake: Benchmarking blind deconvolution with a real-world database
Rolf Köhler, Michael Hirsch, Betty Mohler, Bernhard Schölkopf, and Stefan Harmeling · 2012
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Non-uniform deblurring for shaken images
Oliver Whyte, Josef Sivic, Andrew Zisserman, and Jean Ponce · 2012
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A machine learning approach for non-blind image deconvolution
Christian Schuler, Harold Burger, Stefan Harmeling, and Bernhard Scholkopf · 2013
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Edge-based blur kernel estimation using patch priors
Libin Sun, Sunghyun Cho, Jue Wang, and James Hays · 2013
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Unnatural l0 sparse representation for natural image deblurring
Li Xu, Shicheng Zheng, and Jiaya Jia · 2013
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Multi-image blind deblurring using a coupled adaptive sparse prior
Haichao Zhang, David Wipf, and Yanning Zhang · 2013
Accurate image super-resolution using very deep convolutional networks
Jiwon Kim, Jung Kwon Lee, and Kyoung Mu Lee · 2016
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A comparative study for single image blind deblurring
Wei-Sheng Lai, Jia-Bin Huang, Zhe Hu, Narendra Ahuja, and Ming-Hsuan Yang · 2016
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Blind image deblurring using dark channel prior
Jinshan Pan, Deqing Sun, Hanspeter Pfister, and Ming-Hsuan Yang · 2016
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Context encoders: Feature learning by inpainting
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, and Alexei A. Efros · 2016
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Learning fully convolutional networks for iterative non-blind deconvolution
Jiawei Zhang, Jinshan Pan, Wei-Sheng Lai, Rynson Lau, and Ming-Hsuan Yang · 2016
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Deblurgan: Blind motion deblurring using conditional adversarial networks
Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, and Jiri Matas · 2017
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Handling noise in single image deblurring using directional filters
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
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Blind deblurring using internal patch recurrence
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Deblurring text images via l0-regularized intensity and gradient prior
J. Pan, Z. Hu, Z. Su, and M. Yang · 2014
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Total variation blind deconvolution: The devil is in the details
D. Perrone and P. Favaro · 2014
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Deep convolutional neural network for image deconvolution
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Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, and Wenzhe Shi · 2017
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Deep multi-scale convolutional neural network for dynamic scene deblurring
Seungjun Nah, Tae Kim, and Kyoung Lee · 2017
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Blur-invariant deep learning for blind-deblurring
T Nimisha, Akash Kumar Singh, and A Rajagopalan · 2017
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Semantic image inpainting with deep generative models
Raymond A. Yeh, Chen Chen, Teck Yian Lim, Alexander G. Schwing, Mark Hasegawa-Johnson, and Minh N. Do · 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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Multimodal unsupervised image-to-image translation
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The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale, 2018
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Scale-recurrent network for deep image deblurring
Xin Tao, Hongyun Gao, Yi Wang, Xiaoyong Shen, Jue Wang, and Jiaya Jia · 2018
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Generative image inpainting with contextual attention
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, and Thomas S. Huang · 2018
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Ffdnet: Toward a fast and flexible solution for cnn-based image denoising
K. Zhang, W. Zuo, and L. Zhang · 2018
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Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better, 2019
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