Conservative morphological anti-aliasing
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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][2]
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][2]
A couple of years after CMAA was introduced, Intel unveiled an updated version which they named CMAA2.[3]
See also
[edit]- Multisample anti-aliasing
- Fast approximate anti-aliasing
- Temporal anti-aliasing
- Supersampling
- Spatial anti-aliasing
References
[edit]- ^ a b "Conservative Morphological Anti-Aliasing (CMAA)". Intel. Retrieved 2023-03-02.
- ^ a b "Using Conservative Morphological Anti-Aliasing to Improve Game Visuals | Samsung Developers". Samsung. Retrieved 2023-03-15.
- ^ "Conservative Morphological Anti-Aliasing 2.0". Intel. Retrieved 2023-03-02.
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