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Blind deconvolution has made significant progress in the past decade.
Feature-oriented image enhancement using shock filters
Osher, S., Rudin, L.I.: · 1990
Earlier work this paper cites.
Nonlinear total variation based noise removal algorithms
Rudin, L., Osher, S., Fatemi, E.: · 1992
Earlier work this paper cites.
Total variation blind deconvolution
Chan, T.F., Wong, C.K.: · 1998
Earlier work this paper cites.
Ensemble learning for blind image separation and deconvolution
Miskin, J., MacKay, D.J.: · 2000
Earlier work this paper cites.
Exploiting the sparse derivative prior for super-resolution and image demosaicing
Tappen, M.F., Russell, B.C., Freeman, W.T.: · 2003
Earlier work this paper cites.
An algorithm for total variation minimization and applications
Chambolle, A.: · 2004
Earlier work this paper cites.
Removing camera shake from a single photograph
Fergus, R., Singh, B., Hertzmann, A., Roweis, S.T., Freeman, W.: · 2006
Earlier work this paper cites.
Image and depth from a conventional camera with a coded aperture
Levin, A., Fergus, R., Durand, F., Freeman, W.: · 2007
Earlier work this paper cites.
User assisted separation of reflections from a single image using a sparsity prior
Levin, A., Weiss, Y.: · 2007
Earlier work this paper cites.
High quality motion deblurring from a single image
Shan, Q., Jia, J., Agarwala, A.: · 2008
Cited alongside, same era.
Fast motion deblurring
Cho, S., Lee, S.: · 2009
Cited alongside, same era.
Fast image deconvolution using hyper-laplacian priors
Krishnan, D., Fergus, R.: · 2009
Cited alongside, same era.
Blind motion deblurring from a single image using sparse approximation
Cai, J.F., Ji, H., Liu, C., Shen, Z.: · 2009
Cited alongside, same era.
Understanding and evaluating blind deconvolution algorithms
Levin, A., Weiss, Y., Durand, F., Freeman, W.T.: · 2009
Cited alongside, same era.
Iteratively reweighted least squares minimization for sparse recovery
Daubechies, I., DeVore, R., Fornasier, M., Güntürk, C.S.: · 2009
Cited alongside, same era.
Deblurring shaken and partially saturated images
Whyte, O., Sivic, J., Zisserman, A.: · 2011
Later among the works it cites.
Fast removal of non-uniform camera shake
Hirsch, M., Schuler, C.J., Harmeling, S., Scholkopf, B.: · 2011
Later among the works it cites.
Blind deconvolution using a normalized sparsity measure
Krishnan, D., Tay, T., Fergus, R.: · 2011
Later among the works it cites.
Blur-kernel estimation from spectral irregularities
Goldstein, A., Fattal, R.: · 2012
Later among the works it cites.
Blind deconvolution using convex programming
Ahmed, A., Recht, B., Romberg, J.: · 2012
Later among the works it cites.
Nonedge-specific adaptive scheme for highly robust blind motion deblurring of natural images
Wang, C., Yue, Y., Dong, F., Tao, Y., Ma, X., Clapworthy, G., Lin, H., Ye, X.: · 2013
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Two-phase kernel estimation for robust motion deblurring
Xu, L., Jia, J.: · 2010
Cited alongside, same era.
Non-uniform deblurring for shaken images
Whyte, O., Sivic, J., Zisserman, A., Ponce, J.: · 2010
Cited alongside, same era.
Efficient marginal likelihood optimization in blind deconvolution
Levin, A., Weiss, Y., Durand, F., Freeman, W.T.: · 2011
Cited alongside, same era.
Closest in time.
Unnatural L 0 {L}_{0} sparse representation for natural image deblurring
Xu, L., Zheng, S., Jia, J.: · 2013
Closest in time.
Revisiting bayesian blind deconvolution
Wipf, D., Zhang, H.: · 2013
Closest in time.
Handling noise in single image deblurring using directional filters
Zhong, L., Cho, S., Metaxas, D., Paris, S., Wang, J.: · 2013
Closest in time.