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SMAA: Enhanced Subpixel Morphological Antialiasing
Author(s) -
Jimenez Jorge,
Echevarria Jose I.,
Sousa Tiago,
Gutierrez Diego
Publication year - 2012
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2012.03014.x
Subject(s) - subpixel rendering , computer science , artificial intelligence , computer vision , directx , diagonal , filter (signal processing) , enhanced data rates for gsm evolution , image (mathematics) , reprojection error , pattern recognition (psychology) , computer graphics (images) , pixel , mathematics , geometry
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.