Optimal Filtering for Patterned Displays

John C. Platt

Abstract

Displays with repeating patterns of colored sub-pixels gain spatial resolution by setting individual sub-pixels rather than by setting entire pixels. This paper describes optimal filtering that produces sub-pixel 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.

Details

Publication typeArticle
Published inIEEE Signal Processing Letters
URLhttp://www.ieee.org/
Pages179-180
Volume7
Number7
PublisherInstitute of Electrical and Electronics Engineers, Inc.

Previous versions

John C. Platt, Bert Keely, Bill Hill, Bodin Dresevic, Claude Betrisey, Don P. Mitchell, Greg Hitchcock, James F. Blinn, and Turner Whitted. Displaced Filtering for Patterned Displays, May 2000.

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