title: Exemplar-based inpainting: technical review and new heuristics for better geometric reconstructions.
abstract: This paper proposes a technical review of exemplar-based inpainting approaches with a particular focus on greedy methods. Several comparative and illustrative experiments are provided to deeply explore and enlighten these methods, and to have a better understanding on the state-of-the-art improvements of these approaches. From this analysis, three improvements over Criminisi et al. algorithm are then presented and detailed: 1) a tensor-based data term for a better selection of pixel candidates to fill in; 2) a fast patch lookup strategy to ensure a better global coherence of the reconstruction; and 3) a novel fast anisotropic spatial blending algorithm that reduces typical block artifacts using tensor models. Relevant comparisons with the state-of-the-art inpainting methods are provided that exhibit the effectiveness of our contributions.
authors.forename: Pierre
authors.initials: P
authors.lastname: Buyssens
authors.forename: Maxime
authors.initials: M
authors.lastname: Daisy
authors.forename: David
authors.initials: D
authors.lastname: Tschumperle
authors.forename: Olivier
authors.initials: O
authors.lastname: Lezoray