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Little CMS or LCMS is an open-source color management system, released as a software library for use in other programs which will allow the use of International Color Consortium profiles. It is licensed under the terms of the MIT License. LCMS was one of the first open sourced color management systems. It was initiated by Marti Maria in 1998.
The simplest algorithm for generating a representation of the Mandelbrot set is known as the "escape time" algorithm. A repeating calculation is performed for each x, y point in the plot area and based on the behavior of that calculation, a color is chosen for that pixel.
In computer graphics, color quantization or color image quantization is quantization applied to color spaces; it 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.
40 × 25 text mode with 8×8 pixel font (effective resolution of 320 × 200; mode 0/1h) 80 × 25 text mode with 8×8 pixel font (effective resolution of 640 × 200; mode 2/3h) 320 × 200 in four colors from a 16 color hardware palette with a pixel aspect ratio of 1:1.2. (mode 4/5h)
8-bit color, with three bits of red, three bits of green, and two bits of blue. In order to turn a true color 24-bit image into an 8-bit image, the image must go through a process called color quantization. Color quantization is the process of creating a color map for a less color dense image from a more dense image. [2]
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Color profile viewer on KDE Plasma 5, showing an ICC color profile. Linux color management has the same goal as the color management systems (CMS) for other operating systems, which is to achieve the best possible color reproduction throughout an imaging workflow from its source (camera, video, scanner, etc.), through imaging software (Digikam, darktable, RawTherapee, GIMP, Krita, Scribus, etc ...
Equivalently, the size of the map selected should be equal to or larger than the ratio of source colors to target colors. For example, when quantizing a 24 bpp image to 15 bpp (256 colors per channel to 32 colors per channel), the smallest map one would choose would be 4×2, for the ratio of 8 (256:32).