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A. Bensoussan, J. Lions (1984)
Impulse Control and Quasi-Variational Inequalities
Luis Álvarez, P. Lions, J. Morel (1992)
Image selective smoothing and edge detection by nonlinear diffusion. IISIAM Journal on Numerical Analysis, 29
I. Dolcetta, R. Ferretti (1997)
On an Optimal Stopping Time Formulation of Adaptive Signal FilteringIFAC Proceedings Volumes, 30
P. Raviart, J. Thomas (1983)
Introduction à l'analyse numérique des équations aux dérivées partielles
R. Ferretti (1997)
Internal Approximation Schemes for Optimal Control Problems in Hilbert Spaces, 7
R. Ferretti (1997)
Dynamic programming techniques in the approximation of optimal stopping time problems in Hilbert spaces
This paper presents an approach to image filtering based on an optimal stopping time problem for the evolution equation describing the filtering kernel. This approach allows us to obtain easily an adaptivity of the filter with respect to the noise level. Well-posedness of the problem and convergence of fully discrete approximations are proved and numerical examples are presented and discussed.
Applied Mathematics and Optimization – Springer Journals
Published: Jan 1, 2001
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