-
2
-
-
15344346435
-
-
SIAM, Philadelphia, PA
-
T. Chan, J. Shen, Image Processing and Analysis-Variational, PDE, Wavelet, and Stochastic Methods, SIAM, Philadelphia, PA, 2005.
-
(2005)
Image Processing and Analysis-Variational, PDE, Wavelet, and Stochastic Methods
-
-
Chan, T.1
Shen, J.2
-
3
-
-
0029343101
-
On some Bayesian/regularization methods for image restoration
-
Archer G., and Titterington D. On some Bayesian/regularization methods for image restoration. IEEE Transactions on Image Processing 4 7 (1995) 989-995
-
(1995)
IEEE Transactions on Image Processing
, vol.4
, Issue.7
, pp. 989-995
-
-
Archer, G.1
Titterington, D.2
-
6
-
-
0026124056
-
Compound Gauss-Markov random fields for image estimation
-
Jeng F., and Woods J. Compound Gauss-Markov random fields for image estimation. IEEE Transactions on Signal Processing 39 (March 1991) 683-697
-
(1991)
IEEE Transactions on Signal Processing
, vol.39
, pp. 683-697
-
-
Jeng, F.1
Woods, J.2
-
8
-
-
0029288068
-
Nonlinear solution of linear inverse problems by wavelet-vaguelette decompositions
-
Donoho D. Nonlinear solution of linear inverse problems by wavelet-vaguelette decompositions. Journal of Applied and Computational Harmonic Analysis 1 (1995) 100-115
-
(1995)
Journal of Applied and Computational Harmonic Analysis
, vol.1
, pp. 100-115
-
-
Donoho, D.1
-
12
-
-
33645136947
-
Bayesian wavelet-based image deconvolution: a GEM algorithm exploiting a class of heavy-tailed priors
-
Bioucas-Dias J. Bayesian wavelet-based image deconvolution: a GEM algorithm exploiting a class of heavy-tailed priors. IEEE Transactions on Image Processing 15 4 (2006) 937-951
-
(2006)
IEEE Transactions on Image Processing
, vol.15
, Issue.4
, pp. 937-951
-
-
Bioucas-Dias, J.1
-
14
-
-
0035173056
-
Bayesian image deconvolution and denoising using complex wavelets
-
P. de Rivaz, N. Kingsbury, Bayesian image deconvolution and denoising using complex wavelets, in: Proceedings of the 2001 International Conference on Image Processing, vol. 2, 2001, pp. 273-276.
-
(2001)
Proceedings of the 2001 International Conference on Image Processing
, vol.2
, pp. 273-276
-
-
de Rivaz, P.1
Kingsbury, N.2
-
15
-
-
44049111982
-
Nonlinear total variation based noise removal algorithms
-
L. Rudin, S. Osher, E. Fatemi, Nonlinear total variation based noise removal algorithms, Physica D (1992) 259-268.
-
(1992)
Physica D
, pp. 259-268
-
-
Rudin, L.1
Osher, S.2
Fatemi, E.3
-
16
-
-
33947702051
-
Total variation-based image deconvolution: A majorization-minimization approach
-
J. Bioucas-Dias, M. Figueiredo, J.P. Oliveira, Total variation-based image deconvolution: a majorization-minimization approach, in: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, vol. II, 2006, pp. 861-864.
-
(2006)
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing
, vol.2
, pp. 861-864
-
-
Bioucas-Dias, J.1
Figueiredo, M.2
Oliveira, J.P.3
-
17
-
-
34249819922
-
Recent developments in total variation image restoration
-
Paragios N., Chen Y., and Faugeras O. (Eds), Springer, Berlin
-
Chan T., Esedoglu S., Park F., and Yip A. Recent developments in total variation image restoration. In: Paragios N., Chen Y., and Faugeras O. (Eds). Handbook of Mathematical Models in Computer Vision (2005), Springer, Berlin
-
(2005)
Handbook of Mathematical Models in Computer Vision
-
-
Chan, T.1
Esedoglu, S.2
Park, F.3
Yip, A.4
-
19
-
-
1242352408
-
An algorithm for total variation minimization and applications
-
Chambolle A. An algorithm for total variation minimization and applications. Journal of Mathematical Imaging and Vision 20 (2004) 89-97
-
(2004)
Journal of Mathematical Imaging and Vision
, vol.20
, pp. 89-97
-
-
Chambolle, A.1
-
20
-
-
33646554193
-
Total variation minimization and a class of binary MRF models
-
5th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, Springer, Berlin
-
A. Chambolle, Total variation minimization and a class of binary MRF models, in: 5th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, Springer Lecture Notes in Computer Science, vol. 3757, Springer, Berlin, 2005, pp. 136-152.
-
(2005)
Springer Lecture Notes in Computer Science
, vol.3757
, pp. 136-152
-
-
Chambolle, A.1
-
21
-
-
33845482689
-
Image restoration with discrete constrained total variation (part I): fast and exact optimization
-
Darbon J., and Sigelle M. Image restoration with discrete constrained total variation (part I): fast and exact optimization. Journal of Mathematical Imaging and Vision 26 (2006) 261-276
-
(2006)
Journal of Mathematical Imaging and Vision
, vol.26
, pp. 261-276
-
-
Darbon, J.1
Sigelle, M.2
-
22
-
-
78649843367
-
On total-variation denoising: A new majorization-minimization algorithm and an experimental comparison with wavalet denoising
-
M. Figueiredo, J. Bioucas-Dias, J.P. Oliveira, R. Nowak, On total-variation denoising: a new majorization-minimization algorithm and an experimental comparison with wavalet denoising, in: IEEE International Conference on Image Processing-ICIP'2006, 2006.
-
(2006)
IEEE International Conference on Image Processing-ICIP
-
-
Figueiredo, M.1
Bioucas-Dias, J.2
Oliveira, J.P.3
Nowak, R.4
-
24
-
-
85012251675
-
A new alternating minimization algorithm for total variation image reconstruction
-
Wang Y., Yang J., Yin W., and Zhang Y. A new alternating minimization algorithm for total variation image reconstruction. SIAM Journal on Imaging Sciences 1 (2008) 248-272
-
(2008)
SIAM Journal on Imaging Sciences
, vol.1
, pp. 248-272
-
-
Wang, Y.1
Yang, J.2
Yin, W.3
Zhang, Y.4
-
29
-
-
0002210265
-
On the convergence properties of the EM algorithm
-
Wu C. On the convergence properties of the EM algorithm. The Annals of Statistics 11 (1983) 95-103
-
(1983)
The Annals of Statistics
, vol.11
, pp. 95-103
-
-
Wu, C.1
-
33
-
-
0026898364
-
Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation
-
Galatsanos N., and Katsaggelos A. Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation. IEEE Transactions on Image Processing 1 (1992) 322-336
-
(1992)
IEEE Transactions on Image Processing
, vol.1
, pp. 322-336
-
-
Galatsanos, N.1
Katsaggelos, A.2
-
34
-
-
0036671923
-
Hyper-parameter estimation using gamma hyper-priors in image restoration from partially-known blurs
-
N. Galatsanos, V. Mesarovic, R. Molina, J. Mateos, A. Katsaggelos, Hyper-parameter estimation using gamma hyper-priors in image restoration from partially-known blurs, Optical Engineering 41 (2002) 1845-1854.
-
(2002)
Optical Engineering
, vol.41
, pp. 1845-1854
-
-
Galatsanos, N.1
Mesarovic, V.2
Molina, R.3
Mateos, J.4
Katsaggelos, A.5
-
35
-
-
0033078391
-
Bayesian and regularization methods for hyperparameter estimation in image restoration
-
Molina R., Katsaggelos A., and Mateos J. Bayesian and regularization methods for hyperparameter estimation in image restoration. IEEE Transactions on Image Processing 8 2 (1999) 231-246
-
(1999)
IEEE Transactions on Image Processing
, vol.8
, Issue.2
, pp. 231-246
-
-
Molina, R.1
Katsaggelos, A.2
Mateos, J.3
-
36
-
-
0001862333
-
A full Bayesian approach for inverse problems
-
Hanson K., and Silver R. (Eds), Kluwer Academic Publishers, Dordrecht
-
Mohammad-Djafari A. A full Bayesian approach for inverse problems. In: Hanson K., and Silver R. (Eds). Maximum Entropy and Bayesian Methods (1996), Kluwer Academic Publishers, Dordrecht
-
(1996)
Maximum Entropy and Bayesian Methods
-
-
Mohammad-Djafari, A.1
-
37
-
-
3543111425
-
Iterative learning algorithms for linear Gaussian observation models
-
Deng G. Iterative learning algorithms for linear Gaussian observation models. IEEE Transactions on Signal Processing 52 (2004) 2286-2297
-
(2004)
IEEE Transactions on Signal Processing
, vol.52
, pp. 2286-2297
-
-
Deng, G.1
-
42
-
-
0742286341
-
Forward: Fourier-wavelet regularized deconvolution for ill-conditioned systems
-
Neelamani R., Choi H., and Baraniuk R. Forward: Fourier-wavelet regularized deconvolution for ill-conditioned systems. IEEE Transactions on Signal Processing 52 2 (2004) 418-433
-
(2004)
IEEE Transactions on Signal Processing
, vol.52
, Issue.2
, pp. 418-433
-
-
Neelamani, R.1
Choi, H.2
Baraniuk, R.3
-
43
-
-
67349245416
-
Application of the UPRE method to optimal parameter selection for large scale regularization problems
-
Y. Lin, B. Wohlberg, Application of the UPRE method to optimal parameter selection for large scale regularization problems, in: IEEE Southwest Symposium on Image Analysis and Interpretation, 2008, pp. 89-92.
-
(2008)
IEEE Southwest Symposium on Image Analysis and Interpretation
, pp. 89-92
-
-
Lin, Y.1
Wohlberg, B.2
-
44
-
-
67349207330
-
Generalized cross-validation for total variation image restoration
-
Technical Report 08-11, Institute for Computational Mathematics, Hong Kong Baptist University, Available at
-
H. Liao, F. Li, M. Ng, Generalized cross-validation for total variation image restoration, Technical Report 08-11, Institute for Computational Mathematics, Hong Kong Baptist University, 2008. Available at 〈http://www.math.hkbu.edu.hk/ICM/pdf/08-11.pdf〉.
-
(2008)
-
-
Liao, H.1
Li, F.2
Ng, M.3
|