A Low Cost Anti-aliasing Scheme for Mobile Devices

Abstract

An improved anti-aliasing sampling algorithm is submitted to reduce the increasing memory consumption caused by super-sampling in mobile devices. Six-point anisotropy sampling blends the two samples of a pixel, as well as the nearby pixels. Experiment results showed that six-point anisotropy sampling has reduced the memory consumption by 50% than traditional FLIPQUAD anti-aliasing super-sampling algorithm. This method has similar quality to FLIPQUAD with only 50% memory consumption.