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1. EXEMPLAR-BASED INPAINTING: TECHNICAL REVIEW AND NEW HEURISTICS
FOR BETTER GEOMETRIC RECONSTRUCTIONS
ABSTRACT
This paper proposes a technical review of exemplarbased 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