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Proceedings Paper

Contrast measures for predicting text readability
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Paper Abstract

Our previous experiments with additive and multiplicative transparent text on textured backgrounds show that readability can be more accurately predicted by adjusting the contrast with a contrast-gain-like divisive factor that includes the background RMS contrast. However, the factor performed poorly at predicting readability differences on two different patterned backgrounds. Using the same images of the previous study we presented the target words alone and single letters cut out of the target words. We found that word identification and word discriminability was affected by the backgrounds in the same way that the paragraph search performance was affected, but that letter identifiability on these two backgrounds was predicted by the metric. We also found a significant improvement from including different contrast gains for positive and negative contrasts in the metric. Unfortunately, word readability is not necessarily simply related to letter identifiability and simple contrast measures.

Paper Details

Date Published: 17 June 2003
PDF: 10 pages
Proc. SPIE 5007, Human Vision and Electronic Imaging VIII, (17 June 2003); doi: 10.1117/12.479663
Show Author Affiliations
Lauren F. V. Scharff, Stephen F. Austin State Univ. (United States)
Albert J. Ahumada Jr., NASA Ames Research Ctr. (United States)

Published in SPIE Proceedings Vol. 5007:
Human Vision and Electronic Imaging VIII
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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