The type of images the implement anti-aliasing are the raster images. In short, therefore, these type of images are made up of a map or 2D grid of tiny dots known as pixels. These pixels are of standard size and consist of any number of colors based on the bit storage format. There is an article here that explains more about the memory bits.<\/p>\n
These dots are actually square in shape and it takes several of them to make up a complete image. The number of dots that span an image horizontally and vertically is called the resolution. You can see the image above as a reference.<\/p>\n
The more pixels that can be packed in a certain span gives the image a higher resolution. This makes the image smoother when you have to deal with diagonal lines and curves in an image. If the resolution is too low to some extent you will notice curves and diagonals look like staircases or jagged edges and that does not play well with what we perceive with our eyes.<\/p>\n
Anti-aliasing is, therefore, is the application of algorithms <\/a>to smooth out jagged edges on curved lines and diagonals in an image. Graphics software does this by examining the contrast between two pixels and finding an average. It then applies that average to the adjacent pixels to give a smooth transition. The resulting effect is the easing of the jagged edges thereby simulating smooth diagonal lines and curves.<\/p>\n","protected":false},"excerpt":{"rendered":"