Tensor-directed Spatial Patch Blending for Pattern-based Inpainting Methods
Résumé
Despite the tremendous advances made in recent years, in the field
of patch-based image inpainting algorithms, it is not uncommon to still get vis-
ible artefacts in the parts of the images that have been resynthetized using this
kind of methods. Mostly, these artifacts take the form of discontinuities between
synthetized patches which have been copied/pasted in nearby regions, but from
very different source locations. In this paper, we propose a generic patch blend-
ing formalism which aims at strongly reducing this kind of artifacts. To achieve
this, we define a tensor-directed anisotropic blending algorithm for neighboring
patches, inspired somehow from what is done by anisotropic smoothing PDE’s
for the classical image regularization problem. Our method has the advantage of
blending/removing incoherent patch data while preserving the significant struc-
tures and textures as much as possible. It is really fast to compute, and adaptable
to most patch-based inpainting algorithms in order to visually enhance the quality
of the synthetized results.
Domaines
Traitement des images [eess.IV]
Origine : Fichiers produits par l'(les) auteur(s)
Loading...