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RGB use in color space definitions employ primaries (and often a white point) based on the RGB color model, to map to real world color. Applying Grassmann's law of light additivity, the range of colors that can be produced are those enclosed within the triangle on the chromaticity diagram defined using the primaries as vertices .
A comparison between a typical normalized M cone's spectral sensitivity and the CIE 1931 luminosity function for a standard observer in photopic vision. In the CIE 1931 model, Y is the luminance, Z is quasi-equal to blue (of CIE RGB), and X is a mix of the three CIE RGB curves chosen to be nonnegative (see § Definition of the CIE XYZ color space).
The CIE 1931 xy chromaticity space, also showing the chromaticities of black-body light sources of various temperatures, and lines of constant correlated color temperature sRGB gamut plotted in xyY color space (chromaticity + luminosity) Chromaticity is an objective specification of the quality of a color regardless of its luminance.
A popular way to make a color space like RGB into an absolute color is to define an ICC profile, which contains the attributes of the RGB. This is not the only way to express an absolute color, but it is the standard in many industries. RGB colors defined by widely accepted profiles include sRGB and Adobe RGB.
RGB (red, green, blue) describes the chromaticity component of a given color, when excluding luminance. RGB itself is not a color space, it is a color model. There are many different color spaces that employ this color model to describe their chromaticities because the R/G/B chromaticities are one facet for reproducing color in CRT & LED displays.
The RGB chromaticity space, two dimensions of the normalized RGB space, [1] is a chromaticity space, a two-dimensional color space in which there is no intensity information. In the RGB color space a pixel is identified by the intensity of red, green, and blue primary colors. Therefore, a bright red can be represented as (R,G,B) (255,0,0 ...
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