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Proceedings Paper

A comparison of techniques for super-resolution evaluation
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Paper Abstract

This paper reviews the perception of image quality by human respondents in the context of super-resolution. Specifically, the desirability of an automated mechanism for generating a metric that correlates well with human perceptions of image quality is discussed. Common metrics are evaluated to ascertain whether they demonstrate suitable correlation with human perception of image quality. It is found that the commonly used pixel-difference evaluation technique outperforms a threshold-based technique; however, neither is demonstrated to correlate well with human perception.

Paper Details

Date Published: 24 January 2012
PDF: 6 pages
Proc. SPIE 8293, Image Quality and System Performance IX, 82930Z (24 January 2012); doi: 10.1117/12.912172
Show Author Affiliations
Monica Trifas, Jacksonville State Univ. (United States)
Jeremy Straub, Jacksonville State Univ. (United States)

Published in SPIE Proceedings Vol. 8293:
Image Quality and System Performance IX
Frans Gaykema; Peter D. Burns, Editor(s)

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