Anti-aliasing algorithms based on self-similar multitudes
In: Optoelectronic information technologies (Vinnytsia, 2-6 october 2000, selected papers)SPIE proceedings series; (2001) S. 83-88
Konferenz
- print, 9 ref
Zugriff:
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.
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Anti-aliasing algorithms based on self-similar multitudes
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Autor/in / Beteiligte Person: | KVETNY, Roman N ; KOSTROVA, Catherine ; BOGATCH, Ilona |
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Quelle: | Optoelectronic information technologies (Vinnytsia, 2-6 october 2000, selected papers)SPIE proceedings series; (2001) S. 83-88 |
Veröffentlichung: | Bellingham WA: SPIE, 2001 |
Medientyp: | Konferenz |
Umfang: | print, 9 ref |
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