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- W2090893889 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." @default.
- W2090893889 created "2016-06-24" @default.
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- W2090893889 date "2009-01-18" @default.
- W2090893889 modified "2023-09-26" @default.
- W2090893889 title "Methods for measuring display defects as correlated to human perception" @default.
- W2090893889 doi "https://doi.org/10.1117/12.805450" @default.
- W2090893889 hasPublicationYear "2009" @default.
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