Conservative morphological anti-aliasing

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

References Edit

  1. ^ a b "Conservative Morphological Anti-Aliasing (CMAA)". Intel. Retrieved 2023-03-02.
  2. ^ a b "Using Conservative Morphological Anti-Aliasing to Improve Game Visuals | Samsung Developers". Samsung. Retrieved 2023-03-15.
  3. ^ "Conservative Morphological Anti-Aliasing 2.0". Intel. Retrieved 2023-03-02.