Share Email Print

Proceedings Paper

Anti-aliasing algorithms based on self-similar multitudes
Author(s): Roman N. Kvetny; Catherine Kostrova; Ilona Bogatch
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In computer graphics, anti-aliasing is a software technique for diminishing jaggies -- stairstep-like lines that should be smooth. Jaggies occur because the output device, the monitor or printer, doesn't have a high enough resolution to represent a smooth line. The standard anti-aliasing reduces the prominence of jaggies by surrounding the stair-steps with intermediate shades of gray. Although this reduces the jagged appearance of the lines, it also makes them fuzzier. The suggested anti-aliasing algorithm uses the interpolation based on self-similar multitudes to remove the jaggies. In contrast to the well-known anti-aliasing algorithms, this approach changes neither brightness nor colors of a magnified image. This anti-aliasing algorithm was implemented in the special software for low vision people -- the L&H Magnifier that is being developed by CMS, Ukraine and Lernaut & Hauspie, Belgium. The preliminary tests confirmed that the developed technology improves the quality of zoomed images much better than the standard algorithms but it needs a large number of the computer operation. So, it's reasonable to use the anti- aliasing algorithm based on self-similar multitudes, when the magnification level is 4 and higher.

Paper Details

Date Published: 12 June 2001
PDF: 6 pages
Proc. SPIE 4425, Selected Papers from the International Conference on Optoelectronic Information Technologies, (12 June 2001); doi: 10.1117/12.429700
Show Author Affiliations
Roman N. Kvetny, Vinnytsia State Technical Univ. (Ukraine)
Catherine Kostrova, Vinnytsia State Technical Univ. (Ukraine)
Ilona Bogatch, Vinnytsia State Technical Univ. (Ukraine)

Published in SPIE Proceedings Vol. 4425:
Selected Papers from the International Conference on Optoelectronic Information Technologies
Sergey V. Svechnikov; Volodymyr P. Kojemiako; Sergey A. Kostyukevych, Editor(s)

© SPIE. Terms of Use
Back to Top