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This is a list of software palettes used by computers. Systems that use a 4-bit or 8-bit pixel depth can display up to 16 or 256 colors simultaneously. Many personal computers in the early 1990s displayed at most 256 different colors, freely selected by software (either by the user or by a program) from their wider hardware's RGB color palette.
A 32-bit CMYK image (the industry standard as of 2005) is made of four 8-bit channels, one for cyan, one for magenta, one for yellow, and one for key color (typically is black). 64-bit storage for CMYK images (16-bit per channel) is not common, since CMYK is usually device-dependent, whereas RGB is the generic standard for device-independent ...
OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly for real-time computer vision. [2] Originally developed by Intel, it was later supported by Willow Garage, then Itseez (which was later acquired by Intel [3]).
A visualization of YCbCr color space The CbCr plane at constant luma Y′=0.5 A color image and its Y′, C B and C R components. The Y′ image is essentially a greyscale copy of the main image. YCbCr, Y′CbCr, also written as YC B C R or Y′C B C R, is a family of color spaces used as a part of the color image pipeline in digital video and ...
It must be noted that not all systems using 16-bit color depth employ the 16-bit, 32-64-32 level RGB palette. Platforms like the Sharp X68000 home computer or the Neo Geo video game console employs the 15-bit RGB palette (5 bits are used for red, green, and blue), but the last bit specifies a less significant intensity or luminance.
All 32-bit editions of Windows 10, including Home and Pro, support up to 4 GB. [295] 64-bit editions of Windows 10 Education and Pro support up to 2 TB, 64-bit editions of Windows 10 Pro for Workstations and Enterprise support up to 6 TB, while the 64-bit edition of Windows 10 Home is limited to 128 GB. [295]
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 ...
This is achieved by encoding RGB image data into a composite black and white image, with separated color difference data . For example with Y ′ C b C r {\displaystyle Y'C_{b}C_{r}} , gamma encoded R ′ G ′ B ′ {\displaystyle R'G'B'} components are weighted and then summed together to create the luma Y ′ {\displaystyle Y'} component.