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Blind image deblurring remains a topic of enduring interest.
“Bayesian-based iterative method of image restoration,”
William Hadley Richardson, · 1972
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“Maximum Likelihood Reconstruction for Emission Tomography,”
L. A. Shepp and Y. Vardi, · 1982
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Visual Reconstruction
Andrew Blake and Andrew Zisserman, · 1987
Earlier work this paper cites.
“Iterative blind deconvolution method and its applications,”
G. R. Ayers and J. Ch. Dainty, · 1988
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“The design and use of steerable filters,”
W. T. Freeman and E. H. Adelson, · 1991
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“Blind deconvolution of images by use of neural networks,”
R. J. Steriti and M. A. Fiddy, · 1994
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“Blind image deconvolution,”
D. Kundur and D. Hatzinakos, · 1996
Earlier work this paper cites.
“Total variation blind deconvolution,”
Tony F. Chan and Chiu-Kwong Wong, · 1998
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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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“A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,”
D. Martin et al · 2001
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“Digital image processing second edition,”
Rafael C Gonzalez and Richard E Woods, · 2002
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“The curvelet transform for image denoising,”
Jean-Luc Starck, Emmanuel J. Candes, and David L. Donoho, · 2002
Earlier work this paper cites.
“Image quality assessment: from error visibility to structural similarity,”
Zhou Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli, · 2004
Earlier work this paper cites.
“Removing Camera Shake from a Single Photograph,”
Rob Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis, and William T. Freeman, · 2006
Earlier work this paper cites.
“Coded Exposure Photography: Motion Deblurring Using Fluttered Shutter,”
R. Raskar, A. Agrawal, and J. Tumblin, · 2006
Earlier work this paper cites.
“PSF estimation using sharp edge prediction,”
N. Joshi, R. Szeliski, and D. J. Kriegman, · 2008
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“High-quality Motion Deblurring from a Single Image,”
Qi Shan, Jiaya Jia, and Aseem Agarwala, · 2008
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“Shift-invariant dictionary learning for sparse representations: Extending K-SVD,”
B. Mailhé, S. Lesage, R. Gribonval, F. Bimbot, and P. Vandergheynst, · 2008
Earlier work this paper cites.
“A New Alternating Minimization Algorithm for Total Variation Image Reconstruction,”
Y. Wang, J. Yang, W. Yin, and Y. Zhang, · 2008
Earlier work this paper cites.
“Fast Motion Deblurring,”
S. Cho and S. Lee, · 2009
Earlier work this paper cites.
“Blind motion deblurring using multiple images,”
J-F. et al · 2009
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“Two-phase kernel estimation for robust motion deblurring,”
Li Xu and Jiaya Jia, · 2010
Earlier work this paper cites.
“Learning fast approximations of sparse coding,”
Karol Gregor and Yann LeCun, · 2010
Earlier work this paper cites.
“Motion blur removal with orthogonal parabolic exposures,”
T. S. Cho, A. Levin, F. Durand, and W. T. Freeman, · 2010
Earlier work this paper cites.
“Image Deblurring Using Inertial Measurement Sensors,”
N. Joshi, S. B. Kang, C. L. Zitnick, and R. Szeliski, · 2010
Cited alongside, same era.
“Rectified linear units improve restricted boltzmann machines,”
Vinod Nair and Geoffrey E. Hinton, · 2010
Cited alongside, same era.
“Understanding the difficulty of training deep feedforward neural networks,”
Xavier Glorot and Yoshua Bengio, · 2010
Cited alongside, same era.
“Blind deconvolution using a normalized sparsity measure,”
Dilip Krishnan, Terence Tay, and Rob Fergus, · 2011
Cited alongside, same era.
“Efficient marginal likelihood optimization in blind deconvolution,”
A. Levin, Y. Weiss, F. Durand, and W. T. Freeman, · 2011
Cited alongside, same era.
“Understanding Blind Deconvolution Algorithms,”
A. Levin, Y. Weiss, F. Durand, and W.T. Freeman, · 2011
Cited alongside, same era.
“Deep networks for image super-resolution with sparse prior,”
Z. Wang, D. Liu, J. Yang, W. Han, and T. Huang, · 2015
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“Learning a convolutional neural network for non-uniform motion blur removal,”
Jian Sun, Wenfei Cao, Zongben Xu, and Jean Ponce, · 2015
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“Very deep convolutional networks for large-scale image recognition,”
Karen Simonyan and Andrew Zisserman, · 2015
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“Adam: A method for stochastic optimization,”
Diederik P. Kingma and Jimmy Ba, · 2015
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“A Clearer Picture of Total Variation Blind Deconvolution,”
Daniele Perrone and Paolo Favaro, · 2016
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“Blind Image Blur Estimation via Deep Learning,”
R. Yan and L. Shao, · 2016
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“Richardson-Lucy Deblurring for Scenes under a Projective Motion Path,”
Y. W. Tai, P. Tan, and M. S. Brown, · 2011
Cited alongside, same era.
“Steerable Pyramids and Tight Wavelet Frames in,”
M. Unser, N. Chenouard, and D. Van De Ville, · 2011
Cited alongside, same era.
“Contour Detection and Hierarchical Image Segmentation,”
P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik, · 2011
Cited alongside, same era.
“Framelet-Based Blind Motion Deblurring From a Single Image,”
Jian-Feng Cai, Hui Ji, Chaoqiang Liu, and Zuowei Shen, · 2012
Cited alongside, same era.
“Bayesian Blind Deconvolution with General Sparse Image Priors,”
S. Derin Babacan, Rafael Molina, Minh N. Do, and Aggelos K. Katsaggelos, · 2012
Cited alongside, same era.
“Non-uniform Deblurring for Shaken Images,”
Oliver Whyte, Josef Sivic, Andrew Zisserman, and Jean Ponce, · 2012
Cited alongside, same era.
“A Neural Approach to Blind Motion Deblurring,”
Ayan Chakrabarti, · 2016
Later among the works it cites.
“Learning to Deblur,”
Christian J. Schuler, Michael Hirsch, Stefan Harmeling, and Bernhard Scholkopf, · 2016
Later among the works it cites.
“Deep Residual Learning for Image Recognition,”
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, · 2016
Later among the works it cites.
“Accurate Image Super-Resolution Using Very Deep Convolutional Networks,”
J. Kim, J. K. Lee, and K. M. Lee, · 2016
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“$L_0$ -Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond,”
J. Pan, Z. Hu, Z. Su, and M. H. Yang, · 2017
Later among the works it cites.
“Deep Convolutional Neural Network for Inverse Problems in Imaging,”
K. H. Jin, M. T. McCann, E. Froustey, and M. Unser, · 2017
Later among the works it cites.
“Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration,”
Y. Chen and T. Pock, · 2017
Later among the works it cites.
“Deep multi-scale convolutional neural network for dynamic scene deblurring,”
Seungjun Nah, Tae Hyun Kim, and Kyoung Mu Lee, · 2017
Later among the works it cites.
“Blur-Invariant Deep Learning for Blind-Deblurring,”
T. M. Nimisha, A. K. Singh, and A. N. Rajagopalan, · 2017
Later among the works it cites.
“Deep Video Deblurring for Hand-held Cameras,”
Shuochen Su, Mauricio Delbracio, Jue Wang, Guillermo Sapiro, Wolfgang Heidrich, and Oliver Wang, · 2017
Later among the works it cites.
“Deblurring Images via Dark Channel Prior,”
J. Pan, D. Sun, H. Pfister, and M. H. Yang, · 2018
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“Blind image deblurring using row–column sparse representations,”
M. Tofighi, Y. Li, and V. Monga, · 2018
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“Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods,”
A. Lucas, M. Iliadis, R. Molina, and A.K. Katsaggelos, · 2018
Later among the works it cites.
“Motion Blur Kernel Estimation via Deep Learning,”
X. Xu, J. Pan, Y. J. Zhang, and M. H. Yang, · 2018
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“Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound,”
Oren Solomon, Regev Cohen, Yi Zhang, Yi Yang, He Qiong, Jianwen Luo, Ruud J. G. van Sloun, and Yonina C. Eldar, · 2018
Later among the works it cites.
“Deblurgan: Blind motion deblurring using conditional adversarial networks,”
O. Kupyn, V. Budzan, M. Mykhailych, D. Mishkin, and J. Matas, · 2018
Later among the works it cites.
“An algorithm unrolling approach to deep image deblurring,” ” http://signal.ee.psu.edu/icassp19.pdf
Y. Li, M. Tofighi, V. Monga, and Y. C. Eldar, · 2019
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