A Low Cost Anti-aliasing Scheme for Mobile Devices

Author

DaoLu Zha ; Xi Jin ; An Wu ; Tian Xiang ; Xueliang Du

Author_Institution

Dept. of Phys., Univ. of Sci. & Technol. of China, Hefei, China

fYear

2015

fDate

24-26 April 2015

Firstpage

9

Lastpage

12

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.

Keywords

antialiasing; mobile computing; mobile handsets; sampling methods; FLIPQUAD antialiasing super-sampling algorithm; anti-aliasing sampling algorithm; low cost antialiasing scheme; memory consumption; mobile devices; six-point anisotropy sampling; super-sampling; Anisotropic magnetoresistance; Color; Image edge detection; Memory management; Mobile handsets; Rendering (computer graphics); Anti-aliasing; Graphic; Six-point Anisotropy Sampling;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4673-6849-0

Type

conf

DOI

10.1109/ICISCE.2015.11

Filename

7120451