Optimizing subpixel rendering using a perceptual metric |
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| Authors: | Joyce Farrell Shalomi Eldar Kevin Larson Tanya Matskewich Brian Wandell |
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| Affiliation: | 1. Stanford University, Stanford Center for Image Systems Engineering, 350 Serra Mall, Stanford, CA 94305, USA.;2. Stanford University, Psychology, Stanford, CA, USA.;3. Microsoft Corp., Advanced Reading Technology, Stanford, CA, USA. |
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| Abstract: | Abstract— ClearType is a subpixel‐rendering method designed to improve the perceived quality of text. The method renders text at subpixel resolution and then applies a one‐dimensional symmetric mean‐preserving filter to reduce color artifacts. This paper describes a computational method and experimental tests to assess user preferences for different filter parameters. The computational method uses a physical display simulation and a perceptual metric that includes a model of human spatial and chromatic sensitivity. The method predicts experimentally measured preferences for filters for a range of characters, fonts, and displays. |
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| Keywords: | Image‐quality metrics subpixel rendering display simulation |
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