7049

SMAA: Enhanced Subpixel Morphological Antialiasing

Jorge Jimenez, Jose I. Echevarria, Tiago Sousa, Diego Gutierrez
Universidad de Zaragoza, Spain
EUROGRAPHICS 2012, Volume 31, Number 2, 2012

@techreport{JIMENEZ2012_SMAA,

   author={Jorge Jimenez and Jose I. Echevarria and Tiago Sousa and Diego Gutierrez},

   title={SMAA: Enhanced Morphological Antialiasing},

   journal={Computer Graphics Forum (Proc. EUROGRAPHICS 2012)},

   year={2012},

   volume={31},

   number={2}

}

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We 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.
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