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47.2: Visual Preference for ClearType Technology
Author(s) -
Farrell Joyce,
Xu Jiajing,
Larson Kevin,
Wandell Brian
Publication year - 2009
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1889/1.3256881
Subject(s) - subpixel rendering , artificial intelligence , metric (unit) , filter (signal processing) , computer vision , rendering (computer graphics) , computer science , mathematics , pixel , set (abstract data type) , algorithm , operations management , economics , programming language
ClearType filtering is a sub‐pixel rendering method that improves the perceived image quality of text. The method renders text at subpixel resolution and then applies a one‐dimensional filter to reduce color artifacts. We performed behavioral and computational experiments to analyze the effect of varying the linear filter parameters. Specifically, we systematically varied the values of a symmetric, mean‐preserving, five‐tap filter; such filters are described by a two‐dimensional parameterization. We generated ClearType versions of the same letter from a large set of these filters and asked subjects to select the version that they preferred. Subjects' preferred renderings from a compact region in the two‐dimensional parameter space. Computational analyses show that the preference data are predicted by the SCIELAB metric, a spatio‐chromatic metric of human visual sensitivity.