-
1
-
-
2342458706
-
Second-order cone programming
-
F. ALIZADEH AND D. GOLDFARB, Second-order cone programming, Mathematical Programming, Series B, 95(1), 3-51, 2003.
-
(2003)
Mathematical Programming, Series B
, vol.95
, Issue.1
, pp. 3-51
-
-
Alizadeh, F.1
Goldfarb, D.2
-
2
-
-
0026883172
-
Digital filters as absolute norm regularizes
-
S. ALLINEY, Digital filters as absolute norm regularizes, IEEE Trans. on Signal Processing, 40:6, 1548-1562, 1992.
-
(1992)
IEEE Trans. on Signal Processing
, vol.40
, Issue.6
, pp. 1548-1562
-
-
Alliney, S.1
-
3
-
-
0030169670
-
Recursive median filters of increasing order: A variational approach
-
S. ALLINEY, Recursive median filters of increasing order: a variational approach, IEEE Trans. on Signal Processing, 44:6, 1346-1354, 1996.
-
(1996)
IEEE Trans. on Signal Processing
, vol.44
, Issue.6
, pp. 1346-1354
-
-
Alliney, S.1
-
4
-
-
0031124308
-
A property of the minimum vectors of a regularizing functional defined by means of the absolute norm
-
S. ALLINEY, A property of the minimum vectors of a regularizing functional defined by means of the absolute norm, IEEE Trans. on Signal Processing, 45:4, 913-917, 1997.
-
(1997)
IEEE Trans. on Signal Processing
, vol.45
, Issue.4
, pp. 913-917
-
-
Alliney, S.1
-
5
-
-
31744443874
-
-
Birkhäuser
-
L. AMBROSIO, N. GIGLI, AND G. SAVARÉ, Gradient flows, in metric spaces and in the space of probability measures, Birkhäuser, 2005.
-
(2005)
Gradient Flows, in Metric Spaces and in the Space of Probability Measures
-
-
Ambrosio, L.1
Gigli, N.2
Savaré, G.3
-
6
-
-
17444396382
-
Modeling very oscillating signals. Application to image processing
-
March
-
G. AUBERT AND J.F. AUJOL, Modeling very oscillating signals. Application to image processing, Applied Mathematics and Optimization, 51(2), March 2005.
-
(2005)
Applied Mathematics and Optimization
, vol.51
, Issue.2
-
-
Aubert, G.1
Aujol, J.F.2
-
7
-
-
33646544607
-
Nonlinear inverse scale space methods for image restoration
-
05-34
-
M. BURGER, S. OSHER, J. XU, AND G. GILBOA, Nonlinear inverse scale space methods for image restoration, UCLA CAM Report, 05-34, 2005.
-
(2005)
UCLA CAM Report
-
-
Burger, M.1
Osher, S.2
Xu, J.3
Gilboa, G.4
-
9
-
-
24644479273
-
Illumination normalization for face recognition and uneven background correction using total variation based image models
-
T. CHEN, W. YIN, X.S. ZHOU, D. COMANICIU, AND T. HUANG, Illumination normalization for face recognition and uneven background correction using total variation based image models, CVPR'05, 2005.
-
(2005)
CVPR'05
-
-
Chen, T.1
Yin, W.2
Zhou, X.S.3
Comaniciu, D.4
Huang, T.5
-
10
-
-
33646556919
-
Second-order cone programming methods for total variation-based image restoration
-
D. GOLDFARB AND W. YIN, Second-order cone programming methods for total variation-based image restoration, Columbia University CORC Report TR-2004-05.
-
Columbia University CORC Report
, vol.TR-2004-05
-
-
Goldfarb, D.1
Yin, W.2
-
12
-
-
33646556020
-
Variantional methods in image processing
-
A. HADDAD AND Y. MEYER, Variantional methods in image processing, UCLA CAM Report 04-52.
-
UCLA CAM Report
, vol.4
, Issue.52
-
-
Haddad, A.1
Meyer, Y.2
-
13
-
-
33645696337
-
Image decomposition using the total variation and div(BMO)
-
T. LE AND L. VESE, Image decomposition using the total variation and div(BMO), UCLA CAM Report 04-36.
-
UCLA CAM Report
, vol.4
, Issue.36
-
-
Le, T.1
Vese, L.2
-
14
-
-
33645660245
-
Image restoration and decomposition via bounded total variation and negative Hilbert-Sobolev spaces
-
L. LIEU AND L. VESE, Image restoration and decomposition via bounded total variation and negative Hilbert-Sobolev spaces, UCLA CAM Report 05-33.
-
UCLA CAM Report
, vol.5
, Issue.33
-
-
Lieu, L.1
Vese, L.2
-
15
-
-
0344791828
-
Oscillating Patterns in Image Processing and Nonlinear Evolution Equations
-
AMS
-
Y. MEYER, Oscillating Patterns in Image Processing and Nonlinear Evolution Equations, University Lecture Series Volume 22, AMS, 2002.
-
(2002)
University Lecture Series
, vol.22
-
-
Meyer, Y.1
-
16
-
-
0038042413
-
Minimizers of cost-functions involving nonsmooth data-fidelity terms
-
M. NlKOLOVA, Minimizers of cost-functions involving nonsmooth data-fidelity terms, SIAM J. Numer. Anal., 40:3, 965-994, 2002.
-
(2002)
SIAM J. Numer. Anal.
, vol.40
, Issue.3
, pp. 965-994
-
-
Nlkolova, M.1
-
17
-
-
1242284980
-
A variational approach to remove outliers and impulse noise
-
M. NIKOLOVA, A variational approach to remove outliers and impulse noise, Journal of Mathematical Imaging and Vision, 20:1-2, 99-120, 2004.
-
(2004)
Journal of Mathematical Imaging and Vision
, vol.20
, Issue.1-2
, pp. 99-120
-
-
Nikolova, M.1
-
18
-
-
3142712959
-
Weakly constrained minimization. Application to the estimation of images and signals involving constant regions
-
M. NlKOLOVA, Weakly constrained minimization. Application to the estimation of images and signals involving constant regions. Journal of Mathematical Imaging and Vision 21:2, 155-175, 2004.
-
(2004)
Journal of Mathematical Imaging and Vision
, vol.21
, Issue.2
, pp. 155-175
-
-
Nlkolova, M.1
-
19
-
-
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, SIAM J. on Multiscale Modeling and Simulation 4(2), 460-489, 2005.
-
(2005)
SIAM J. on Multiscale Modeling and Simulation
, vol.4
, Issue.2
, pp. 460-489
-
-
Osher, S.1
Burger, M.2
Goldfarb, D.3
Xu, J.4
Yin, W.5
-
21
-
-
44049111982
-
Nonlinear total variation based noise removal algorithms
-
L. RUDIN, S. OSHER, AND E. FATEMI, Nonlinear total variation based noise removal algorithms, Physica D, 60, 259-268, 1992.
-
(1992)
Physica D
, vol.60
, pp. 259-268
-
-
Rudin, L.1
Osher, S.2
Fatemi, E.3
-
22
-
-
33646588226
-
Slope and G-set characterization of set-Valued functions and applications to non-differentiable optimization problems
-
O. SCHERZER, W. YIN, AND S. OSHER, Slope and G-set characterization of set-Valued functions and applications to non-Differentiable optimization problems, UCLA CAM Report 05-35.
-
UCLA CAM Report
, vol.5
, Issue.35
-
-
Scherzer, O.1
Yin, W.2
Osher, S.3
-
23
-
-
0242263244
-
Modelling textures with total variation minimization and oscillating patterns in image processing
-
May
-
L. VESE AND S. OSHER, Modelling textures with total variation minimization and oscillating patterns in image processing, UCLA CAM Report 02-19, (May 2002).
-
(2002)
UCLA CAM Report
, vol.2
, Issue.19
-
-
Vese, L.1
Osher, S.2
-
24
-
-
19544374529
-
1 model
-
1 model, Bioinformatics 21(10), 2410-2416, 2005.
-
(2005)
Bioinformatics
, vol.21
, Issue.10
, pp. 2410-2416
-
-
Yin, W.1
Chen, T.2
Zhou, X.S.3
Chakraborty, A.4
-
25
-
-
33646538693
-
Total variation-based image cartoon-texture decomposition
-
UCLA CAM Report 05-27
-
W. YIN, D. GOLDFARB, AND S. OSHER, Total variation-based image cartoon-texture decomposition, Columbia University CORC Report TR-2005-01, UCLA CAM Report 05-27, 2005.
-
(2005)
Columbia University CORC Report
, vol.TR-2005-01
-
-
Yin, W.1
Goldfarb, D.2
Osher, S.3
|