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Proceedings Paper

Methods for measuring display defects as correlated to human perception
Author(s): H. Kostal; G. Pedeville; R. Rykowski
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Paper Abstract

Human vision and perception are the ultimate determinants of display quality, however human judgment is variable, making it difficult to define and apply quantitatively in research or production environments. However, traditional methods for automated defect detection do not relate directly to human perception - which is especially an issue in identifying just noticeable differences. Accurately correlating human perceptions of defects with the information that can be gathered using imaging colorimeters offers an opportunity for objective and repeatable detection and quantification of such defects. By applying algorithms for just noticeable differences (JND) image analysis, a means of automated, repeatable, display analysis directly correlated with human perception can be realized. The implementation of this technique and typical results are presented. Initial application of the JND analysis provides quantitative information that allows a quantitative grading of display image quality for FPDs and projection displays, supplementing other defect detection techniques.

Paper Details

Date Published: 19 January 2009
PDF: 9 pages
Proc. SPIE 7242, Image Quality and System Performance VI, 72420G (19 January 2009); doi: 10.1117/12.805450
Show Author Affiliations
H. Kostal, Radiant Imaging, Inc. (United States)
G. Pedeville, Radiant Imaging, Inc. (United States)
R. Rykowski, Radiant Imaging, Inc. (United States)


Published in SPIE Proceedings Vol. 7242:
Image Quality and System Performance VI
Susan P. Farnand; Frans Gaykema, Editor(s)

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