Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by Crossref.
Kärkkäinen, Tommi
Majava, Kirsi
and
Mäkelä, Marko M
2001.
Comparison of formulations and solution methods for image restoration problems.
Inverse Problems,
Vol. 17,
Issue. 6,
p.
1977.
Kindermann, Stefan
and
Neubauer, Andreas
2003.
Parameter Identification by Regularization for Surface Representation via the Moving Grid Approach.
SIAM Journal on Control and Optimization,
Vol. 42,
Issue. 4,
p.
1416.
Combettes, P.L.
and
Pesquet, J.C.
2003.
Total variation information in image recovery.
Vol. 2,
Issue. ,
p.
III.
Combettes, P.L.
and
Pesquet, J.-C.
2003.
Image deconvolution with total variation bounds.
p.
441.
Combettes, P.L.
and
Pesquet, J.-C.
2004.
Image Restoration Subject to a Total Variation Constraint.
IEEE Transactions on Image Processing,
Vol. 13,
Issue. 9,
p.
1213.
Kindermann, Stefan
and
Neubauer, Andreas
2005.
On the estimation of discontinuous solutions of parameter identification problems.
Journal of Physics: Conference Series,
Vol. 12,
Issue. ,
p.
83.
Osher, Stanley
Burger, Martin
Goldfarb, Donald
Xu, Jinjun
and
Yin, Wotao
2005.
An Iterative Regularization Method for Total Variation-Based Image Restoration.
Multiscale Modeling & Simulation,
Vol. 4,
Issue. 2,
p.
460.
Nikolova, Mila
2005.
Analysis of the Recovery of Edges in Images and Signals by Minimizing Nonconvex Regularized Least-Squares.
Multiscale Modeling & Simulation,
Vol. 4,
Issue. 3,
p.
960.
Chen, Yunmei
Levine, Stacey
and
Rao, Murali
2006.
Variable Exponent, Linear Growth Functionals in Image Restoration.
SIAM Journal on Applied Mathematics,
Vol. 66,
Issue. 4,
p.
1383.
Neubauer, A.
2006.
Estimation of discontinuous solutions of ill-posed problems via adaptive grid regularization.
Journal of Inverse and Ill-posed Problems,
Vol. 14,
Issue. 7,
p.
705.
Lysaker, Marius
and
Tai, Xue-Cheng
2006.
Iterative Image Restoration Combining Total Variation Minimization and a Second-Order Functional.
International Journal of Computer Vision,
Vol. 66,
Issue. 1,
p.
5.
Haddad, A.
2007.
Texture Separation $BV-G$ and $BV-L^1$ Models.
Multiscale Modeling & Simulation,
Vol. 6,
Issue. 1,
p.
273.
Malgouyres, F.
2007.
Rank related properties for Basis Pursuit and total variation regularization.
Signal Processing,
Vol. 87,
Issue. 11,
p.
2695.
Durand, Sylvain
and
Nikolova, Mila
2007.
Denoising of Frame Coefficients Using $\ell^1$ Data-Fidelity Term and Edge-Preserving Regularization.
Multiscale Modeling & Simulation,
Vol. 6,
Issue. 2,
p.
547.
Breuß, M.
and
Welk, M.
2007.
Staircasing in semidiscrete stabilised inverse linear diffusion algorithms.
Journal of Computational and Applied Mathematics,
Vol. 206,
Issue. 1,
p.
520.
Maso, G. Dal
Fonseca, I.
Leoni, G.
and
Morini, M.
2009.
A Higher Order Model for Image Restoration: The One-Dimensional Case.
SIAM Journal on Mathematical Analysis,
Vol. 40,
Issue. 6,
p.
2351.
Stadler, Georg
2009.
Elliptic optimal control problems with L 1-control cost and applications for the placement of control devices.
Computational Optimization and Applications,
Vol. 44,
Issue. 2,
p.
159.
Bredies, Kristian
Kunisch, Karl
and
Pock, Thomas
2010.
Total Generalized Variation.
SIAM Journal on Imaging Sciences,
Vol. 3,
Issue. 3,
p.
492.
Guo, Zhichang
Liu, Qiang
Sun, Jiebao
and
Wu, Boying
2011.
Reaction–diffusion systems with -growth for image denoising.
Nonlinear Analysis: Real World Applications,
Vol. 12,
Issue. 5,
p.
2904.
Louchet, Cécile
and
Moisan, Lionel
2011.
Total Variation as a Local Filter.
SIAM Journal on Imaging Sciences,
Vol. 4,
Issue. 2,
p.
651.