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- W1861409599 abstract "In this paper we reconsider the sub-Riemannian cortical model of image completion introduced in [G. Citti and A. Sarti, J. Math. Imaging Vision, 24 (2006), pp. 307--326]. This model combines two mechanisms, the sub-Riemannian diffusion and the concentration, giving rise to a diffusion driven motion by curvature. In this paper we give a formal proof of the existence of viscosity solutions of the sub-Riemannian motion by curvature. Furthermore we illustrate the sub-Riemannian finite difference scheme used to implement the model and we discuss some properties of the algorithm. Finally results of completion and enhancement on a number of natural images are shown and compared with other models." @default.
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- W1861409599 date "2016-01-01" @default.
- W1861409599 modified "2023-09-30" @default.
- W1861409599 title "Sub-Riemannian Mean Curvature Flow for Image Processing" @default.
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- W1861409599 doi "https://doi.org/10.1137/15m1013572" @default.
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