Image anti-aliasing is the smoothing of edges and colors in digital images and fonts. It makes edges appear less jagged and helps blend colors in a natural-looking way.
To understand anti-aliasing, it important to first understand what aliasing is. Image aliasing is the "jagged edge" effect caused by mapping curved and diagonal shapes onto square pixels. Horizontal and vertical lines can be mapped perfectly onto square pixels, but angled and curved lines must be estimated. If pixels along the edge are either on or off, the result is a jagged edge, also called "stair-stepping" or aliasing.
Anti-aliasing smoothes edges by estimating the colors along each edge. Instead of pixels being on or off, they are somewhere in between. For example, a black diagonal line against a white background might be shades of light and dark grey instead of black and white. A blue circle on a yellow background might have shades of blue, yellow, and green along the edges instead of solid blue and yellow.
The goal of an anti-aliasing algorithm is to make a digital image look natural when viewed from a typical viewing distance. When zoomed in, anti-aliased images and text may appear fuzzy because of the estimated pixels.
Aliasing is most noticeable on screens with a low DPI (dots per inch). Modern HiDPI screens have a denser grid of pixels that can represent edges more accurately. However, even HiDPI screens still benefit from anti-aliasing.
NOTE: Anti-aliasing in digital audio is the removal of unwanted frequencies from sampled audio.
This page contains a technical definition of Anti-Aliasing. It explains in computing terminology what Anti-Aliasing means and is one of many software terms in the TechTerms dictionary.
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