Optimal filtering for patterned displays

Displays with repeating patterns of colored subpixels gain spatial resolution by setting individual subpixels rather than by setting entire pixels. This paper describes optimal filtering that produces subpixel values from a high-resolution input image. The optimal filtering is based on an error metr...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 7; no. 7; pp. 179 - 181
Main Author Platt, J.C.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.07.2000
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Displays
Equations
Errors
Filtering
Filtration
Frequency measurement
Linear systems
Liquid crystal displays
Mathematical analysis
Multidimensional systems
Nonlinear filters
Optimization
Psychology
Spatial resolution
Visual system
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Summary:Displays with repeating patterns of colored subpixels gain spatial resolution by setting individual subpixels rather than by setting entire pixels. This paper describes optimal filtering that produces subpixel values from a high-resolution input image. The optimal filtering is based on an error metric inspired by psychophysical experiments. Minimizing the error metric yields a linear system of equations, which can be expressed as a set of filters. These filters provide the same quality of font display as standard anti-aliasing at a point size 25% smaller. This optimization forms the filter design framework for Microsoft's ClearType.
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ISSN:1070-9908
1558-2361
DOI:10.1109/97.847362