-
1
-
-
31744440684
-
Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
-
E. Candes, J. Romberg, and T. Tao. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Inform. Theory, 52:489-509, 2004.
-
(2004)
IEEE Trans. Inform. Theory
, vol.52
, pp. 489-509
-
-
Candes, E.1
Romberg, J.2
Tao, T.3
-
2
-
-
77749243157
-
Fast motion deblurring
-
S. Cho and S. Lee. Fast motion deblurring. SIGGRAPH ASIA 2009, 28(5), 2009.
-
(2009)
SIGGRAPH ASIA 2009
, vol.28
, Issue.5
-
-
Cho, S.1
Lee, S.2
-
3
-
-
77954018368
-
Removing camera shake from a single photograph
-
R. Fergus, B. Singh, A. Hertzmann, S. T. Roweis, and W. Freeman. Removing camera shake from a single photograph. SIGGRAPH, 25:787-794, 2006.
-
(2006)
SIGGRAPH
, vol.25
, pp. 787-794
-
-
Fergus, R.1
Singh, B.2
Hertzmann, A.3
Roweis, S.T.4
Freeman, W.5
-
4
-
-
0000929221
-
What is the goal of sensory coding?
-
D. Field. What is the goal of sensory coding? Neural Computation, 6:559-601, 1994.
-
(1994)
Neural Computation
, vol.6
, pp. 559-601
-
-
Field, D.1
-
5
-
-
80052886923
-
Single image deblurring using motion density functions
-
A. Gupta, N. Joshi, L. Zitnick, M. Cohen, and B. Curless. Single image deblurring using motion density functions. In ECCV'10, 2010.
-
(2010)
ECCV'10
-
-
Gupta, A.1
Joshi, N.2
Zitnick, L.3
Cohen, M.4
Curless, B.5
-
6
-
-
77956001536
-
Efficient filter flow for space-variant multiframe blind deconvolution
-
M. Hirsch, S. Sra, B. Scholkopf, and S. Harmeling. Efficient filter flow for space-variant multiframe blind deconvolution. In CVPR, pages 607-614, 2010.
-
(2010)
CVPR
, pp. 607-614
-
-
Hirsch, M.1
Sra Sra, S.2
Scholkopf, B.3
Harmeling, S.4
-
7
-
-
84900510076
-
Non-negative matrix factorization with sparseness constraints
-
P. Hoyer. Non-negative matrix factorization with sparseness constraints. JMLR, 5:1457-1469, 2004.
-
(2004)
JMLR
, vol.5
, pp. 1457-1469
-
-
Hoyer, P.1
-
9
-
-
35148886210
-
Single image motion deblurring using transparency
-
J. Jia. Single image motion deblurring using transparency. In CVPR, 2007.
-
(2007)
CVPR
-
-
Jia, J.1
-
11
-
-
84858712496
-
Fast image deconvolution using hyper-laplacian priors
-
D. Krishnan and R. Fergus. Fast image deconvolution using hyper-laplacian priors. In NIPS, 2009.
-
(2009)
NIPS
-
-
Krishnan, D.1
Fergus, R.2
-
12
-
-
34547674830
-
Image and depth from a conventional camera with a coded aperture
-
A. Levin, R. Fergus, F. Durand, and W. Freeman. Image and depth from a conventional camera with a coded aperture. SIGGRAPH, 26(3):70, 2007.
-
(2007)
SIGGRAPH
, vol.26
, Issue.3
, pp. 70
-
-
Levin, A.1
Fergus, R.2
Durand, F.3
Freeman, W.4
-
13
-
-
34548138971
-
User assisted separation of reflections from a single image using a sparsity prior
-
Sept
-
A. Levin and Y. Weiss. User assisted separation of reflections from a single image using a sparsity prior. PAMI, 29(9):1647-1654, Sept 2007.
-
(2007)
PAMI
, vol.29
, Issue.9
, pp. 1647-1654
-
-
Levin, A.1
Weiss, Y.2
-
14
-
-
70450174344
-
Understanding and evaluating blind deconvolution algorithms
-
A. Levin, Y. Weiss, F. Durand, and W. T. Freeman. Understanding and evaluating blind deconvolution algorithms. In CVPR, 2009.
-
(2009)
CVPR
-
-
Levin, A.1
Weiss, Y.2
Durand, F.3
Freeman, W.T.4
-
16
-
-
0006397661
-
Ensemble learning for blind image separation and deconvolution
-
M. Girolani, editor, Springer-Verlag
-
J. Miskin and D. J. C. MacKay. Ensemble Learning for Blind Image Separation and Deconvolution. In M. Girolani, editor, Adv. in Independent Component Analysis. Springer-Verlag, 2000.
-
(2000)
Adv. in Independent Component Analysis
-
-
Miskin, J.1
MacKay, D.J.C.2
-
17
-
-
35848937133
-
Total variation minimizing blind deconvolution with shock filter reference
-
J. Money and S. Kang. Total variation minimizing blind deconvolution with shock filter reference. In Image and Vision Computing, number 2, pages 302-314, 2008.
-
(2008)
Image and Vision Computing
, Issue.2
, pp. 302-314
-
-
Money, J.1
Kang, S.2
-
19
-
-
80052903384
-
A graph-cut problem for general deconvolution problems
-
A. Raj and R. Zabih. A graph-cut problem for general deconvolution problems. In CVPR, 2005.
-
(2005)
CVPR
-
-
Raj, A.1
Zabih, R.2
-
20
-
-
24644467818
-
Fields of experts: A framework for learning image priors
-
S. Roth and M. J. Black. Fields of Experts: A Framework for Learning Image Priors. In CVPR, volume 2, pages 860-867, 2005.
-
(2005)
CVPR
, vol.2
, pp. 860-867
-
-
Roth, S.1
Black, M.J.2
-
21
-
-
49249099286
-
High quality motion deblurring from a single image
-
Q. Shan, J. Jia, and A. Agarwala. High quality motion deblurring from a single image. SIGGRAPH, 27, 2008.
-
(2008)
SIGGRAPH
, pp. 27
-
-
Shan, Q.1
Jia, J.2
Agarwala, A.3
-
22
-
-
35148861156
-
What makes a good model of natural images?
-
Y. Weiss and W. T. Freeman. What makes a good model of natural images? In CVPR, 2007.
-
(2007)
CVPR
-
-
Weiss, Y.1
Freeman, W.T.2
-
24
-
-
80052881205
-
Two-phase kernel estimation for robust motion deblurring
-
L. Xu and J. Jia. Two-phase kernel estimation for robust motion deblurring. In ECCV, 2010.
-
(2010)
ECCV
-
-
Xu, L.1
Jia, J.2
-
25
-
-
84977895355
-
Bregman iterative algorithms for l1-minimization with applications to compressed sensing
-
W. Yin, S. Osher, D. Goldfarb, and J. Darbon. Bregman iterative algorithms for l1-minimization with applications to compressed sensing. SIAM J. on Img. Sciences, 1(1):143-168, 2008.
-
(2008)
SIAM J. on Img. Sciences
, vol.1
, Issue.1
, pp. 143-168
-
-
Yin, W.1
Osher, S.2
Goldfarb, D.3
Darbon, J.4
-
26
-
-
0031270256
-
Prior learning and Gibbs reaction-diffusion
-
S. C. Zhu and D. Mumford. Prior learning and Gibbs reaction-diffusion. IEEE Trans. PAMI, 19(11):1236-1250, 1997.
-
(1997)
IEEE Trans. PAMI
, vol.19
, Issue.11
, pp. 1236-1250
-
-
Zhu, S.C.1
Mumford, D.2
|