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Conservative Morphological Anti-Aliasing
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Short description: Antialiasing technique
Conservative Morphological Anti-Aliasing (CMAA) is an antialiasing technique originally developed by Filip Strugar at Intel. CMAA is an image-based, post processing technique similar to that of morphological antialiasing.[1]
CMAA uses 4 main steps which are image analysis for color discontinuities, locally dominant edge detection, simple shape handling, and lastly symmetrical long edge shape handling.[1]
A couple of years after CMAA was introduced, Intel unveiled an updated version which they named CMAA2.[2]
See also
- Multisample anti-aliasing
- Fast approximate anti-aliasing
- Temporal anti-aliasing
- Supersampling
- Spatial anti-aliasing
References
- ↑ 1.0 1.1 "Conservative Morphological Anti-Aliasing (CMAA)". Intel. https://www.intel.com/content/www/us/en/developer/articles/technical/conservative-morphological-anti-aliasing-cmaa-update.html.
- ↑ "Conservative Morphological Anti-Aliasing 2.0". Intel. https://www.intel.com/content/www/us/en/developer/articles/technical/conservative-morphological-anti-aliasing-20.html.
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