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] This computer graphics–related article is a stub.