![](bg8.png)
Journal, 4:490530.
Cho, S. and Lee, S. (2009). Fast motion deblurring. ACM
Transaction on Graphics, 28(5):145:1145:8.
Cho, T. S., Paris, S., Horn, B. K. P., and Freeman, W. T.
(2011). Blur kernel estimation using the radon trans-
form. In Proceedings of the IEEE Conference on
Computer Vision and Pattern Recognition.
Elad, M., Figueiredo, M., and Ma, Y. (2010). On the role
of sparse and redundant representations in image pro-
cessing. Proceedings of the IEEE, 98(6):972982.
Guemri, K. and Drira, F. (2014). Adaptative shock filter
for image characters enhancement and denoising. In-
ternational Conference of Soft Computing and Pattern
Recognition (SoCPaR), 7(3):279–283.
Hu, Z., Huang, J., and Yang, M. (2010). Single image de-
blurring with adaptive dictionary learning. Interna-
tional Conference on Image Processing (ICIP), page
11691172.
Joshi, N., Szeliski, R., and Kriegman, D. (2008). Psf esti-
mation using sharp edge prediction. In Proceedings of
the IEEE Conference on Computer Vision and Pattern
Recognition.
Lai, W., Ding, J., Lin, Y., and Chuang, Y. (2015). Blur
kernel estimation using normalized color-line priors.
In Proceedings of the IEEE Conference on Computer
Vision and Pattern Recognition, page 783798.
Levin, A., Weiss, Y., Durand, F., and Freeman, W. T. (2011).
Understanding blind deconvolution algorithms. IEEE
Transactions on Pattern Analysis and Machine Intel-
ligence (PAMI), 33(12):23542367.
Liu, Q., Liang, D., Song, Y., Luo, J., Zhu, Y., and Li,
W. (2013). Augmented lagrangian-based sparse rep-
resentation method with dictionary updating for im-
age deblurring. SIAM Journal Imaging Science, page
1689C1718.
Lou, Y., Bertozzi, A., and Soatto, S. (2011). Direct sparse
deblurring. Journal of Mathematical Imaging and Vi-
sion, page 112.
Michaeli, T. and Irani, M. (2014). Blind deblurring using
internal patch recurrence. In Proceedings of the Euro-
pean Conference on Computer Vision, page 783798.
Pan, J., Hu, Z., Su, Z., and Yang, M. (2014). Deblurring text
images via l0-regularizedintensityandgradientprior.
IEEE Conference on Computer Vision and Pattern
Recognition.
Shan, Q., Jia, J., and Agarwala, A. (2008). High-quality
motion deblurring from a single image. ACM Special
Interest Group on Computer Graphics (SIGGRAPH).
Sun, L., Cho, S., Wang, J., and Hays, J. (2013). Edge-based
blur kernel estimation using patch priors. in Proceed-
ings of the IEEE International Conference on Compu-
tational Photography.
Walha, R., Drira, F., Lebourgeois, F., Garcia, C., and Al-
imi, A. (2015a). Joint denoising and magnification
of noisy low-resolution textual images. International
Conference on Document Analysis and Recognition
(ICDAR), pages 871–875.
Walha, R., Drira, F., Lebourgeois, F., Garcia, C., and Al-
imi, A. (2015b). Resolution enhancement of textual
images via multiple coupled dictionaries and adaptive
sparse representation selection. International Jour-
nal on Document Analysis and Recognition (IJDAR),
18(1):87–107.
Xu, L. and Jia, J. (2010). Two-phase kernel estimation for
robust motion deblurring. European Conference on
Computer Vision (ECCV), 28(5):145:1145:8.
Yu, G., Sapiro, G., and Mallat, S. (2010). Image modeling
and enhancement via structured sparse model selec-
tion. International Conference on Image Processing
(ICIP), page 16411644.
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