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Proceedings Paper

Visual salience metrics for image inpainting
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Paper Abstract

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.

Paper Details

Date Published: 19 January 2009
PDF: 9 pages
Proc. SPIE 7257, Visual Communications and Image Processing 2009, 72571W (19 January 2009); doi: 10.1117/12.808942
Show Author Affiliations
Paul A. Ardis, Univ. of Rochester (United States)
Amit Singhal, Eastman Kodak Co. (United States)


Published in SPIE Proceedings Vol. 7257:
Visual Communications and Image Processing 2009
Majid Rabbani; Robert L. Stevenson, Editor(s)

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