Conservative morphological anti-aliasing
 | The topic of this article may not meet Wikipedia's general notability guideline. (March 2023) |
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. Archived from the original on 2025-09-05. Retrieved 2025-09-05.
- ^ a b "Using Conservative Morphological Anti-Aliasing to Improve Game Visuals". Samsung. 2021-06-01. Archived from the original on 2025-12-26. Retrieved 2025-12-26.
- ^ "Conservative Morphological Anti-Aliasing 2.0". Intel. Archived from the original on 2025-12-26. Retrieved 2025-12-26.
 | This computer graphics–related article is a stub. You can help Wikipedia by adding missing information. |