![]() This is done by simply dividing each component in the frequency domain by a constant for that component, and then rounding to the nearest integer. This fact allows one to reduce the amount of information required by ignoring the high frequency components. The human eye is fairly good at seeing small differences in brightness over a relatively large area, but not so good at distinguishing the exact strength of a high frequency (rapidly varying) brightness variation. It is common to combine color quantization with dithering to create an impression of a larger number of colors and eliminate banding artifacts.įrequency quantization for image compression Popular modern color quantization algorithms include the nearest color algorithm (for fixed palettes), the median cut algorithm, and an algorithm based on octrees. ![]() Most bitmap editors and many operating systems have built-in support for color quantization. Color quantization reduces the number of colors used in an image this is important for displaying images on devices that support a limited number of colors and for efficiently compressing certain kinds of images.
0 Comments
Leave a Reply. |