-
3
-
-
0035509961
-
Fast approximate energy minimization via graph cuts
-
Y. Boykov, O. Veksler, and R. Zabih, Fast approximate energy minimization via graph cuts, IEEE Trans. Pattern Anal. Mach. Intell., 23 (2005), pp. 1222-1239.
-
(2005)
IEEE Trans. Pattern Anal. Mach. Intell
, vol.23
, pp. 1222-1239
-
-
Boykov, Y.1
Veksler, O.2
Zabih, R.3
-
4
-
-
49949144765
-
The relaxation method of finding the common points of convex sets and its application to the solution of problems in convex optimization
-
L. Bregman, The relaxation method of finding the common points of convex sets and its application to the solution of problems in convex optimization, USSR Comput. Math. and Math. Phys., 7 (1967), pp. 200-217.
-
(1967)
USSR Comput. Math. and Math. Phys
, vol.7
, pp. 200-217
-
-
Bregman, L.1
-
5
-
-
77951959023
-
Linearized Bregman iterations for compressed sensing
-
to appear
-
J. F. Cai, S. Osher, and Z. Shen, Linearized Bregman iterations for compressed sensing, Math. Comp., to appear.
-
Math. Comp
-
-
Cai, J.F.1
Osher, S.2
Shen, Z.3
-
6
-
-
21944448323
-
Signal recovery from random projections
-
Bellingham, WA
-
E. J. Candes and J. Romberg, Signal recovery from random projections, in Computational Imaging III, Proc. SPIE 5674, International Society for Optical Engineering, Bellingham, WA, 2005, pp. 76-86.
-
(2005)
Computational Imaging III, Proc. SPIE 5674, International Society for Optical Engineering
, pp. 76-86
-
-
Candes, E.J.1
Romberg, J.2
-
7
-
-
31744440684
-
Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
-
E. J. Candes, J. Romberg, and T. Tao, Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information, IEEE Trans. Inform. Theory, 52 (2006), pp. 489-509.
-
(2006)
IEEE Trans. Inform. Theory
, vol.52
, pp. 489-509
-
-
Candes, E.J.1
Romberg, J.2
Tao, T.3
-
9
-
-
0033295350
-
A nonlinear primal-dual method for total variation-based image restoration
-
T. F. Chan, G. H. Golub, and P. Mulet, A nonlinear primal-dual method for total variation-based image restoration, SIAM J. Sci. Comput., 20 (1999), pp. 1964-1977.
-
(1999)
SIAM J. Sci. Comput
, vol.20
, pp. 1964-1977
-
-
Chan, T.F.1
Golub, G.H.2
Mulet, P.3
-
10
-
-
25144515901
-
A fast and exact algorithm for total variation minimization
-
Lecture Notes in Comput. Sci. 3522, Springer-Verlag, Berlin
-
J. Darbon and M. Sigelle, A fast and exact algorithm for total variation minimization, in IbPRIA, Lecture Notes in Comput. Sci. 3522, Springer-Verlag, Berlin, 2005, pp. 351-359.
-
(2005)
IbPRIA
, pp. 351-359
-
-
Darbon, J.1
Sigelle, M.2
-
11
-
-
33645712892
-
Compressed sensing
-
D. Donoho, Compressed sensing, IEEE Trans. Inform. Theory, 52 (2006), pp. 1289-1306.
-
(2006)
IEEE Trans. Inform. Theory
, vol.52
, pp. 1289-1306
-
-
Donoho, D.1
-
13
-
-
53349163971
-
-
CAAM Technical Report TR07-07, Rice University, Houston
-
E. Hale, W. Yin, and Y. Zhang, A Fixed-Point Continuation Method for l1-Regularized Minimization with Applications to Compressed Sensing, CAAM Technical Report TR07-07, Rice University, Houston, 2007.
-
(2007)
A Fixed-Point Continuation Method for l1-Regularized Minimization with Applications to Compressed Sensing
-
-
Hale, E.1
Yin, W.2
Zhang, Y.3
-
14
-
-
34250309398
-
MR image reconstruction from sparse radial samples by using iterative refinement procedures
-
L. He, T.-C. Chang, and S. Osher, MR image reconstruction from sparse radial samples by using iterative refinement procedures, in Proceedings of the 13th Annual Meeting of ISMRM, 2005, p. 696.
-
(2005)
Proceedings of the 13th Annual Meeting of ISMRM
, pp. 696
-
-
He, L.1
Chang, T.-C.2
Osher, S.3
-
15
-
-
38149044499
-
-
Technical report, Department of Electrical Engineering, Stanford University, Palo Alto, CA
-
S. Kim, K. Koh, M. Lustig, S. Boyd, and D. Gerinvesky, A Method for Large-Scale l1-Regularized Least Squares Problems with Applications in Signal Processing and Statistics, Technical report, Department of Electrical Engineering, Stanford University, Palo Alto, CA, 2007.
-
(2007)
A Method for Large-Scale l1-Regularized Least Squares Problems with Applications in Signal Processing and Statistics
-
-
Kim, S.1
Koh, K.2
Lustig, M.3
Boyd, S.4
Gerinvesky, D.5
-
16
-
-
0342454112
-
-
Technical report TR94-1470, Center for Theory and Simulation in Science and Engineering, Cornell University, Ithaca, NY
-
Y. Li and F. Santosa, An Affine Scaling Algorithm for Minimizing Total Variation in Image Enhancement, Technical report TR94-1470, Center for Theory and Simulation in Science and Engineering, Cornell University, Ithaca, NY, 1994.
-
(1994)
An Affine Scaling Algorithm for Minimizing Total Variation in Image Enhancement
-
-
Li, Y.1
Santosa, F.2
-
17
-
-
36849088522
-
Sparse MRI: The application of compressed sensing for rapid MR imaging
-
M. Lustig, D. Donoho, and J. Pauly, Sparse MRI: The application of compressed sensing for rapid MR imaging, Magn. Reson. Med., 58 (2007), pp. 1182-1195.
-
(2007)
Magn. Reson. Med
, vol.58
, pp. 1182-1195
-
-
Lustig, M.1
Donoho, D.2
Pauly, J.3
-
19
-
-
33747536580
-
Nonuniform phase-encode distributions for MRI scan-time reduction
-
G. L. Marseille, R. de Beer, M. Fuderer, A. F. Mehlkopf, and D. van Ormondt, Nonuniform phase-encode distributions for MRI scan-time reduction, J. Magn. Reson., 111 (1996), pp. 70-75.
-
(1996)
J. Magn. Reson
, vol.111
, pp. 70-75
-
-
Marseille, G.L.1
de Beer, R.2
Fuderer, M.3
Mehlkopf, A.F.4
van Ormondt, D.5
-
21
-
-
67749089524
-
-
UCL CAM Report, 08-37, University of California at Los Angeles, Los Angeles
-
A. Osher, Y. Mao, B. Dong, and W. Yin, Fast Linearized Bregman Iterations for Compressed Sensing and Sparse Denoising, UCL CAM Report, 08-37, University of California at Los Angeles, Los Angeles, 2008.
-
(2008)
Fast Linearized Bregman Iterations for Compressed Sensing and Sparse Denoising
-
-
Osher, A.1
Mao, Y.2
Dong, B.3
Yin, W.4
-
22
-
-
19844370110
-
An iterative regularization method for total variation-based image restoration
-
S. Osher, M. Burger, D. Goldfarb, J. Xu, and W. Yin, An iterative regularization method for total variation-based image restoration, Multiscale Model. Simul., 4 (2005), pp. 460-489.
-
(2005)
Multiscale Model. Simul
, vol.4
, pp. 460-489
-
-
Osher, S.1
Burger, M.2
Goldfarb, D.3
Xu, J.4
Yin, W.5
-
23
-
-
44049111982
-
Nonlinear total variation based noise removal algorithms
-
L. Rudin, S. Osher, and E. Fatemi, Nonlinear total variation based noise removal algorithms, Phys. D, 60 (1992), pp. 259-268.
-
(1992)
Phys. D
, vol.60
, pp. 259-268
-
-
Rudin, L.1
Osher, S.2
Fatemi, E.3
-
24
-
-
47849110073
-
Sparse MRI reconstruction via multiscale L0-continuation
-
J. Trzasko, A. Manduca, and E. Borisch, Sparse MRI reconstruction via multiscale L0-continuation, in Proceedings of the 14th IEEE/SP Workshop on Statistical Signal Processing, 2007, pp. 176-180.
-
(2007)
Proceedings of the 14th IEEE/SP Workshop on Statistical Signal Processing
, pp. 176-180
-
-
Trzasko, J.1
Manduca, A.2
Borisch, E.3
-
25
-
-
0242676282
-
A multigrid method for total variation-based image denoising
-
Birkhäuser-Boston, Boston
-
C. Vogel, A multigrid method for total variation-based image denoising, in Computation and Control, IV, Progr. Systems Control Theory 20, Birkhäuser-Boston, Boston, 1995, pp. 323-331.
-
(1995)
Computation and Control, IV, Progr. Systems Control Theory 20
, pp. 323-331
-
-
Vogel, C.1
-
26
-
-
0001556589
-
Iterative methods for total variation denoising
-
C. R. Vogel and M. E. Oman, Iterative methods for total variation denoising, SIAM J. Sci. Comput., 17 (1996), pp. 227-238.
-
(1996)
SIAM J. Sci. Comput
, vol.17
, pp. 227-238
-
-
Vogel, C.R.1
Oman, M.E.2
-
27
-
-
58049208543
-
-
CAAM Technical Report TR07-10, Rice University, Houston
-
Y. Wang, W. Yin, and Y. Zhang, A Fast Algorithm for Image Deblurring with Total Variation Regularization, CAAM Technical Report TR07-10, Rice University, Houston, 2007.
-
(2007)
A Fast Algorithm for Image Deblurring with Total Variation Regularization
-
-
Wang, Y.1
Yin, W.2
Zhang, Y.3
-
28
-
-
33847715169
-
Iterative regularization and nonlinear inverse scale space applied to wavelet-based denoising
-
J. Xu and S. Osher, Iterative regularization and nonlinear inverse scale space applied to wavelet-based denoising, IEEE Trans. Image Process., 16 (2007), pp. 534-544.
-
(2007)
IEEE Trans. Image Process
, vol.16
, pp. 534-544
-
-
Xu, J.1
Osher, S.2
|