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have tested our method using three real-world public
image databases of missing people, and compared our
restoration results with three popular methods used in
image inpainting.
Potential improvements lie in the areas of more ro-
bust segmentation using artifact-specific quality met-
rics and using the k nearest images (k ≥1) for inpaint-
ing and actual evaluation of inpainting in a real-world
face recognition set-up.
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