Digital image restoration by multigrid methods - Ilyevsky, Alexey
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Numerical solution of partial differential equations by multigrid methods for removing noise from digital pictures. Four different methods for the restoration of an image corrupted by white Gaussian noise are considered: method based on diffusion equation, Perona-Malik method, regularized Perona- Malik method and Rudin-Osher method. All problems are solved by multigrd methods. Algorithm that can stop the diffusion process is suggested.

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Produktbeschreibung
Numerical solution of partial differential equations by multigrid methods for removing noise from digital pictures. Four different methods for the restoration of an image corrupted by white Gaussian noise are considered: method based on diffusion equation, Perona-Malik method, regularized Perona- Malik method and Rudin-Osher method. All problems are solved by multigrd methods. Algorithm that can stop the diffusion process is suggested.
Autorenporträt
Alexey Ilyevsky. M.Sc. on Applied Mathematics, Tel-Aviv University, 2006. B.A. on Mathematics, Technion (Israel Institute of Technology), 2001. From 2008 Software Engineer at Nokia Siemens Networks. From 2004 Software Engineer at High Tech Network companies.