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dc.contributor.authorJimenez, Jorgeen_US
dc.contributor.authorEchevarria, Jose I.en_US
dc.contributor.authorSousa, Tiagoen_US
dc.contributor.authorGutierrez, Diegoen_US
dc.contributor.editorP. Cignoni and T. Ertlen_US
dc.date.accessioned2015-02-28T06:52:57Z
dc.date.available2015-02-28T06:52:57Z
dc.date.issued2012en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/j.1467-8659.2012.03014.xen_US
dc.description.abstractWe present a new image-based, post-processing antialiasing technique, which offers practical solutions to the common, open problems of existing filter-based real-time antialiasing algorithms. Some of the new features include local contrast analysis for more reliable edge detection, and a simple and effective way to handle sharp geometric features and diagonal lines. This, along with our accelerated and accurate pattern classification allows for a better reconstruction of silhouettes. Our method shows for the first time how to combine morphological antialiasing (MLAA) with additional multi/supersampling strategies (MSAA, SSAA) for accurate subpixel features, and how to couple it with temporal reprojection; always preserving the sharpness of the image. All these solutions combine synergies making for a very robust technique, yielding results of better overall quality than previous approaches while more closely converging to MSAA/SSAA references but maintaining extremely fast execution times. Additionally, we propose different presets to better fit the available resources or particular needs of each scenario.en_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleSMAA: Enhanced Subpixel Morphological Antialiasingen_US
dc.description.seriesinformationComputer Graphics Forumen_US


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