Optimal Filtering for Patterned Displays

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.

PDF file

In  IEEE Signal Processing Letters

Publisher  Institute of Electrical and Electronics Engineers, Inc.
© 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.



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.

> Publications > Optimal Filtering for Patterned Displays