A numerical algorithm for image sequence inpainting that preserves fine-textures

Livia Marcellino (1) , Luisa d'Amore (2) , Ardelio Galletti (1) , Daniela Casaburi (3)

1 Dept. of Applied Science
2 Department of Math. and Applications
3 SPACI

We describe a fast, reliable and automatic algorithm for image sequence inpainting that combines a spatio-temporal interpolation with a fine texture preservation inside missing areas. The algorithm provides an estimate of the inpainting error by using an automatic geometric recognition of missing regions. Computational kernels are sparse linear systems solved using GMRES iterative method equipped with AMG multigrid preconditioner. Experiments on synthetic and real data are discussed.

Mots clés: Physical Sciences

Domaines: Informatique [cs]

Livia Marcellino, Luisa d'Amore, Ardelio Galletti, Daniela Casaburi. A numerical algorithm for image sequence inpainting that preserves fine-textures. International Journal of Computer Mathematics, 2011, pp.1. ⟨10.1080/00207160.2010.537328⟩. ⟨hal-00685378⟩