Several generalizations of the traditional Tikhonov-Phillips regularization method have been proposed during the last two decades. Many of these generalizations are based upon inducing stability throughout the use of different penalizers which allow the capturing of diverse properties of the exact solution (e.g. edges, discontinuities, borders, etc.). However, in some problems in which it is known that the regularity of the exact solution is heterogeneous and/or anisotropic, it is reasonable to think that a much better option could be the simultaneous use of two or more penalizers of different nature. Such is the case, for instance, in some image restoration problems in which preservation of edges, borders or discontinuities is an important...
The reconstruction of an image u(x, y) that describes a real scene from experimen-tal data (observed...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
International audienceDue to the ill-posedness of inverse problems, it is important to make use of m...
During the last two decades several generalizations of the traditional Tikhonov-Phillips regularizat...
The Tikhonov-Phillips method is widely used for regularizing ill-posed problems due to the simplicit...
The problem of restoring a signal or image is often tantamount to approximating the solution of a li...
We consider regularized solutions of linear inverse ill-posed problems obtained with generalized Tik...
We consider the solution of ill-posed inverse problems using regularization with tolerances. In part...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
Rédaction : fin 2011. Soutenance : mars 2012.Inverse problems are to recover the data that has been ...
Rédaction : fin 2011. Soutenance : mars 2012.Inverse problems are to recover the data that has been ...
The aim of this thesis is to study hybrid methods for solving ill-posed linear inverse problems corr...
Tikhonov regularization is a cornerstone technique in solving inverse problems with applications in ...
The reconstruction of an image u(x, y) that describes a real scene from experimen-tal data (observed...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
International audienceDue to the ill-posedness of inverse problems, it is important to make use of m...
During the last two decades several generalizations of the traditional Tikhonov-Phillips regularizat...
The Tikhonov-Phillips method is widely used for regularizing ill-posed problems due to the simplicit...
The problem of restoring a signal or image is often tantamount to approximating the solution of a li...
We consider regularized solutions of linear inverse ill-posed problems obtained with generalized Tik...
We consider the solution of ill-posed inverse problems using regularization with tolerances. In part...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
Rédaction : fin 2011. Soutenance : mars 2012.Inverse problems are to recover the data that has been ...
Rédaction : fin 2011. Soutenance : mars 2012.Inverse problems are to recover the data that has been ...
The aim of this thesis is to study hybrid methods for solving ill-posed linear inverse problems corr...
Tikhonov regularization is a cornerstone technique in solving inverse problems with applications in ...
The reconstruction of an image u(x, y) that describes a real scene from experimen-tal data (observed...
Ill-posed inverse problems arise in many fields of science and engineering. The ill-conditioning and...
International audienceDue to the ill-posedness of inverse problems, it is important to make use of m...