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Proceedings Paper

Metric to evaluate the texture visibility of halftone patterns
Author(s): Muge Wang; Kevin J. Parker
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Paper Abstract

Halftones are intended to produce the illusion of continuous images form binary output states, so the visibility of undesired halftone textures is an essential quality factor of halftone patterns. We propose a metric to predict the visibility of color halftone textures. The metric utilizes the human visual threshold function and contrast sensitivity functions of luminance and chrominance. The threshold is related to the average background luminance level by de Vries-Rose law. An iterative approach was used to determine the distance in which the visual error just exceeds the visual threshold. This distance is the metric that predicts the critical distance that a human observer can just discriminate the textures. To verify the metric, the texture visibility was determined experimentally by a psychological experiment. The halftone stimuli were presented on an SGI monitor. Starting from an initial distance, where the halftone images appeared as continuous color patches, the subject walked toward the monitor and found the distance where he or she could just discriminate the spatial changes caused by the textures. Then the distances determined by the experiment and those predicted by the metric were compared. A good correlation was achieved. The results show that the metric is able to predict the visibility over a wide range of texture characteristics.

Paper Details

Date Published: 8 June 2001
PDF: 12 pages
Proc. SPIE 4299, Human Vision and Electronic Imaging VI, (8 June 2001); doi: 10.1117/12.429486
Show Author Affiliations
Muge Wang, Univ. of Rochester (United States)
Kevin J. Parker, Univ. of Rochester (United States)

Published in SPIE Proceedings Vol. 4299:
Human Vision and Electronic Imaging VI
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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