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Conservative morphological anti-aliasing
Antialiasing technique From Wikipedia, the free encyclopedia
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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]
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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]
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