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A weighted error metric and optimization method for antialiasing patterns (2006)
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| Venue: | COMPUTER GRAPHICS FORUM |
| Citations: | 11 - 1 self |
BibTeX
@ARTICLE{Laine06aweighted,
author = {Samuli Laine and Timo Aila},
title = {A weighted error metric and optimization method for antialiasing patterns},
journal = {COMPUTER GRAPHICS FORUM},
year = {2006},
volume = {25},
number = {1},
pages = {83--94}
}
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Abstract
Displaying a synthetic image on a computer display requires determining the colors of individual pixels. To avoid aliasing, multiple samples of the image can be taken per pixel, after which the color of a pixel may be computed as a weighted sum of the samples. The positions and weights of the samples play a major role in the resulting image quality, especially in real-time applications where usually only a handful of samples can be afforded per pixel. This paper presents a new error metric and an optimization method for antialiasing patterns used in image reconstruction. The metric is based on comparing the pattern against a given reference reconstruction filter in spatial domain and it takes into account psychovisually measured angle-specific acuities for sharp features.
