Abstract
In this paper we summarize the main features of a new time dependent model to approximate the solution to the nonlinear total vari- ation optimization problem for deblurring and noise removal introduced by Rudin, Osher and Fatemi. Our model is based on level set motion whose steady state is quickly reached by means of an explicit procedure based on an ENO Hamilton-Jacobi version of Roe’s scheme. We show numerical evidence of the speed, resolution and stability of this simple explicit procedure in two representative 1D and 2D numerical examples.
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© 1999 Springer-Verlag Berlin Heidelberg
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Marquina, A., Osher, S. (1999). A New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal. In: Nielsen, M., Johansen, P., Olsen, O.F., Weickert, J. (eds) Scale-Space Theories in Computer Vision. Scale-Space 1999. Lecture Notes in Computer Science, vol 1682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48236-9_38
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DOI: https://doi.org/10.1007/3-540-48236-9_38
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