A Weighted Error Metric and Optimization Method for Antialiasing Patterns
| dc.contributor.author | Laine, S. | en_US |
| dc.contributor.author | Aila, T. | en_US |
| dc.date.accessioned | 2015-02-21T12:05:12Z | |
| dc.date.available | 2015-02-21T12:05:12Z | |
| dc.date.issued | 2006 | en_US |
| dc.description.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. | en_US |
| dc.description.number | 1 | en_US |
| dc.description.seriesinformation | Computer Graphics Forum | en_US |
| dc.description.volume | 25 | en_US |
| dc.identifier.doi | 10.1111/j.1467-8659.2006.00919.x | en_US |
| dc.identifier.issn | 1467-8659 | en_US |
| dc.identifier.pages | 83-94 | en_US |
| dc.identifier.uri | https://doi.org/10.1111/j.1467-8659.2006.00919.x | en_US |
| dc.publisher | The Eurographics Association and Blackwell Publishing Ltd. | en_US |
| dc.title | A Weighted Error Metric and Optimization Method for Antialiasing Patterns | en_US |