Visual salience metrics for image inpainting

Paul A. Ardis; Amit Singhal

doi:10.1117/12.808942

19 January 2009 Visual salience metrics for image inpainting

Paul A. Ardis, Amit Singhal

Proceedings Volume 7257, Visual Communications and Image Processing 2009; 72571W (2009) https://doi.org/10.1117/12.808942
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

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.

Citation Download Citation

Paul A. Ardis and Amit Singhal "Visual salience metrics for image inpainting", Proc. SPIE 7257, Visual Communications and Image Processing 2009, 72571W (19 January 2009); https://doi.org/10.1117/12.808942

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