Conservative morphological anti-aliasing

Last updated

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

References

  1. 1 2 "Conservative Morphological Anti-Aliasing (CMAA)". Intel. Archived from the original on 2025-09-05. Retrieved 2025-09-05.
  2. 1 2 "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.
  3. ↑ "Conservative Morphological Anti-Aliasing 2.0". Intel. Archived from the original on 2025-12-26. Retrieved 2025-12-26.
This page is based on this Wikipedia article
Text is available under the CC BY-SA 4.0 license; additional terms may apply.
Images, videos and audio are available under their respective licenses.