In computer graphics, color quantization or color image quantization is a process that reduces the number of distinct colors used in an image, usually with the intention that the new image should be as visually similar as possible to the original image. Computer algorithms to perform color quantization on bitmaps have been studied since the 1970s. Color quantization is critical for displaying images with many colors on devices that can only display a limited number of colors, usually due to memory limitations, and enables efficient compression of certain types of images.
The name "color quantization" is primarily used in computer graphics research literature; in applications, terms such as optimized palette generation, optimal palette generation, or decreasing color depth are used. Some of these are misleading, as the palettes generated by standard algorithms are not necessarily the best possible.
Read more about Color Quantization: Algorithms, History and Applications
Famous quotes containing the word color:
“Gradually I regained my usual composure. I reread Pale Fire more carefully. I liked it better when expecting less. And what was that? What was that dim distant music, those vestiges of color in the air? Here and there I discovered in it and especially, especially in the invaluable variants, echoes and spangles of my mind, a long ripplewake of my glory.”
—Vladimir Nabokov (1899–1977)