Quantitative metrics for successful image inpainting currently do not exist, with researchers instead relying upon
qualitative human comparisons to evaluate their methodologies and techniques. In an attempt to rectify this situation, we
propose two new metrics to capture the notions of noticeability and visual intent in order to evaluate inpainting results.
The proposed metrics use a quantitative measure of visual salience based upon a computational model of human visual
attention. We demonstrate how these two metrics repeatably correlate with qualitative opinion in a human observer
study, correctly identify the optimum uses for exemplar-based inpainting (as specified in the original publication), and
match qualitative opinion in published examples.