Antialiasing exploits the mathematical Nyquist-Shannon sampling theorem that states that aliasing are unable to arise when the sampling frequency is high ample reasonably to the optimum frequency in the sampled data, i.e. antialising attempts to stop aliasing outcomes normally by possibly protecting against significant frequency from showing up in the sampled knowledge (e.g. blurring textures, see MIP mapping) or by growing the sampling frequency (e.g. multisampling). Similar unwanted effects may well look e.g. on substantial resolution textures when they're scaled down on a laptop or computer screen (so known as Moir