Study of Supersampling Methods for Computer Graphics Hardware Antialiasing Michael E. Goss and Kevin Wu
[email protected] Visual Computing Department Hewlett-Packard Laboratories Palo Alto, California December 5, 2000 Abstract A study of computer graphics antialiasing methods was done with the goal of determining which methods could be used in future computer graphics hardware accelerators to provide improved image quality at acceptable cost and with acceptable performance. The study focused on supersampling techniques, looking in detail at various sampling patterns and resampling filters. This report presents a detailed discussion of theoretical issues involved in aliasing in computer graphics images, and also presents the results of two sets of experiments designed to show the results of techniques that may be candidates for inclusion in future computer graphics hardware. Table of Contents 1. Introduction ........................................................................................................................... 1 1.1 Graphics Hardware and Aliasing.....................................................................................1 1.2 Digital Images and Sampling..........................................................................................1 1.3 This Report...................................................................................................................... 2 2. Antialiasing for Raster Graphics via Filtering ...................................................................3 2.1 Signals