M. R. Multiscale-implementation-references, A. K. Banham, and . Katsaggelos, Digital image restoration, IEEE Signal Processing Magazine, vol.14, issue.2, pp.24-41, 1997.

M. Bishop, Pattern Recognition and Machine Learning (Information Science and Statistics), 2006.

J. Cai, H. Ji, C. Liu, and Z. Shen, Blind motion deblurring from a single image using sparse approximation, Proc. CVPR, 2009.

A. Chakrabarti, T. Zickler, and W. T. Freeman, Analyzing spatiallyvarying blur, Proc. CVPR, 2010.
DOI : 10.1109/cvpr.2010.5539954

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.163.3628

T. F. Chan and C. Wong, Total variation blind deconvolution, IEEE Transactions on Image Processing, vol.7, issue.3, 1998.
DOI : 10.1109/83.661187

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.1221

J. Chen, L. Yuan, C. Tang, and L. Quan, Robust dual motion deblurring, Proc. CVPR, 2008.

S. Cho and S. Lee, Fast motion deblurring, ACM Trans. Graphics (Proc. SIGGRAPH Asia, vol.281458, issue.5, pp.1-145, 2009.

S. Cho, Y. Matsushita, and S. Lee, Removing Non-Uniform Motion Blur from Images, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408904

J. Couzinie-devy, F. Mairal, J. Bach, and . Ponce, Dictionary learning for deblurring and digital zoom, 2011.
URL : https://hal.archives-ouvertes.fr/inria-00627402

K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, Image restoration by sparse 3D transform-domain collaborative filtering, Image Processing: Algorithms and Systems VI, 2008.
DOI : 10.1117/12.766355

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.160.9911

B. Efron, T. Hastie, L. Johnstone, and R. Tibshirani, Least angle regression, Annals of Statistics, vol.32, issue.2, pp.407-499, 2004.

R. Fergus, B. Singh, A. Hertzmann, S. T. Roweis, and W. T. Freeman, Removing camera shake from a single photograph, Proc. SIGGRAPH 2006), pp.787-794, 2006.
DOI : 10.1145/1141911.1141956

A. Gupta, N. Joshi, C. L. Zitnick, M. Cohen, and B. Curless, Single Image Deblurring Using Motion Density Functions, Proc. ECCV, 2010.
DOI : 10.1007/978-3-642-15549-9_13

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.1660

R. I. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision. Cambridge: CUP, second edition, 2004.

M. Hirsch, S. Sra, B. Schölkopf, and S. Harmeling, Efficient filter flow for space-variant multiframe blind deconvolution, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5540158

S. B. Joshi, C. L. Kang, R. Zitnick, and . Szeliski, Image deblurring using inertial measurement sensors, Proc. SIGGRAPH 2010), pp.1-309, 2010.
DOI : 10.1145/1778765.1778767

S. Kim, K. Koh, M. Lustig, S. Boyd, and D. Gorinevsky, An Interior-Point Method for Large-Scale -Regularized Least Squares, IEEE Journal of Selected Topics in Signal Processing, vol.1, issue.4, pp.606-617, 2007.
DOI : 10.1109/JSTSP.2007.910971

G. Klein and T. Drummond, A single-frame visual gyroscope, Procedings of the British Machine Vision Conference 2005, 2005.
DOI : 10.5244/C.19.53

D. Krishnan and R. Fergus, Fast image deconvolution using hyperlaplacian priors, NIPS, 2009.

D. D. Lee and H. S. Seung, Algorithms for non-negative matrix factorization, NIPS, 2001.

A. Levin, Blind motion deblurring using image statistics, NIPS, 2006.

A. Levin, Y. Weiss, F. Durand, and W. T. Freeman, Understanding and evaluating blind deconvolution algorithms, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009.
DOI : 10.1109/CVPR.2009.5206815

H. Lim and A. Silverstein, Estimation and removal of motion blur by capturing two images with different exposures, 2008.

L. B. Lucy, An iterative technique for the rectification of observed distributions, The Astronomical Journal, vol.79, issue.6, pp.745-754, 1974.
DOI : 10.1086/111605

J. Mairal, F. Bach, J. Ponce, and G. Sapiro, Online learning for matrix factorization and sparse coding, Journal of Machine Learning Research, vol.11, pp.19-60, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00408716

J. W. Miskin and D. J. Mackay, Ensemble Learning for Blind Image Separation and Deconvolution, Advances in Independent Component Analysis, 2000.
DOI : 10.1007/978-1-4471-0443-8_7

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.37.597

J. G. Nagy and D. P. Leary, Restoring Images Degraded by Spatially Variant Blur, SIAM Journal on Scientific Computing, vol.19, issue.4, pp.1063-1082, 1998.
DOI : 10.1137/S106482759528507X

S. Osher and L. I. Rudin, Feature-Oriented Image Enhancement Using Shock Filters, SIAM Journal on Numerical Analysis, vol.27, issue.4, pp.919-940, 1990.
DOI : 10.1137/0727053

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.636.9370

P. Pérez, M. Gangnet, and A. Blake, Poisson image editing, Proc. SIGGRAPH 2003), pp.313-318, 2003.
DOI : 10.1145/882262.882269

R. C. Puetter, T. R. Gosnell, and A. , Digital Image Reconstruction: Deblurring and Denoising, Annual Review of Astronomy and Astrophysics, vol.43, issue.1, pp.139-94, 2005.
DOI : 10.1146/annurev.astro.43.112904.104850

A. Rav-acha and S. Peleg, Two motion-blurred images are better than one, Pattern Recognition Letters, vol.26, issue.3, 2005.
DOI : 10.1016/j.patrec.2004.10.017

W. H. Richardson, Bayesian-Based Iterative Method of Image Restoration*, Journal of the Optical Society of America, vol.62, issue.1, pp.55-59, 1972.
DOI : 10.1364/JOSA.62.000055

A. A. Sawchuk, Space-variant image restoration by coordinate transformations*, Journal of the Optical Society of America, vol.64, issue.2, pp.138-144, 1974.
DOI : 10.1364/JOSA.64.000138

Q. Shan, W. Xiong, and J. Jia, Rotational Motion Deblurring of a Rigid Object from a Single Image, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408922

Q. Shan, J. Jia, and A. Agarwala, High-quality motion deblurring from a single image, Proc. SIGGRAPH 2008), 2008.

Y. Tai, P. Tan, L. Gao, and M. S. Brown, Richardson???Lucy deblurring for scenes under a projective motion path, 2009.
DOI : 10.1017/CBO9781107360181.009

Y. Tai, H. Du, M. S. Brown, and S. Lin, Correction of spatially varying image and video motion blur using a hybrid camera, IEEE PAMI, vol.32, issue.6, pp.1012-1028, 2010.

Y. Tai, N. Kong, S. Lin, and S. Y. Shin, Coded exposure imaging for projective motion deblurring, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5539935

Y. Tai, P. Tan, and M. S. Brown, Richardson???Lucy deblurring for scenes under a projective motion path, IEEE PAMI, vol.33, issue.8, pp.1603-1618, 2011.
DOI : 10.1017/CBO9781107360181.009

R. Tibshirani, Regression shrinkage and selection via the lasso, J. of the Royal Stat. Soc. B, vol.58, issue.1, pp.267-288, 1996.

C. Tomasi and R. Manduchi, Bilateral filtering for gray and color images, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), 1998.
DOI : 10.1109/ICCV.1998.710815

R. Vio, J. Nagy, L. Tenorio, and W. Wamsteker, Multiple-image deblurring with spatially-variant point spread functions, Astronomy and Astrophysics, vol.434, issue.2, pp.795-800, 2005.
DOI : 10.1051/0004-6361:20035754

L. Xu and J. Jia, Two-Phase Kernel Estimation for Robust Motion Deblurring, Proc. ECCV, 2010.
DOI : 10.1007/978-3-642-15549-9_12

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.170.6990

L. Yuan, J. Sun, L. Quan, and H. Shum, Image deblurring with blurred/noisy image pairs, Proc. SIG- GRAPH 2007), 2007.
DOI : 10.1145/1275808.1276379

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.245.1978

L. Yuan, J. Sun, L. Quan, and H. Shum, Blurred/non-blurred image alignment using sparseness prior, Proc. ICCV, 2007.

L. Yuan, J. Sun, L. Quan, and H. Shum, Progressive inter-scale and intra-scale non-blind image deconvolution, Proc. SIGGRAPH, p.27, 2008.
DOI : 10.1145/1399504.1360673