A Weighted Error Metric and Optimization Method for Antialiasing Patterns

dc.contributor.authorLaine, S.en_US
dc.contributor.authorAila, T.en_US
dc.date.accessioned2015-02-21T12:05:12Z
dc.date.available2015-02-21T12:05:12Z
dc.date.issued2006en_US
dc.description.abstractDisplaying 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.en_US
dc.description.number1en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume25en_US
dc.identifier.doi10.1111/j.1467-8659.2006.00919.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages83-94en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2006.00919.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.titleA Weighted Error Metric and Optimization Method for Antialiasing Patternsen_US
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