A Weighted Error Metric and Optimization Method for Antialiasing Patterns

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Date
2006
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Journal ISSN
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Publisher
The Eurographics Association and Blackwell Publishing Ltd.
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.
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@article{
10.1111:j.1467-8659.2006.00919.x
, journal = {Computer Graphics Forum}, title = {{
A Weighted Error Metric and Optimization Method for Antialiasing Patterns
}}, author = {
Laine, S.
and
Aila, T.
}, year = {
2006
}, publisher = {
The Eurographics Association and Blackwell Publishing Ltd.
}, ISSN = {
1467-8659
}, DOI = {
10.1111/j.1467-8659.2006.00919.x
} }
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