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The emission spectra of the three phosphors that define the additive primary colors of a CRT color video display. Other electronic color display technologies (LCD, Plasma display, OLED) have analogous sets of primaries with different emission spectra.

Primary colors are colorants or coloured lights that can be mixed in varying amounts to produce a gamut of colors. This is the essential method used to create the perception of a broad range of colors in, e.g., electronic displays, color printing, and paintings. Perceptions associated with a given combination of primary colors can be predicted by an appropriate mixing model (e.g., additive, subtractive) that uses the physics of how light interacts with physical media, and ultimately the retina to be able to accurately display the intended colors.

The most common colour mixing models are the additive primary colors (red, green, blue) and the subtractive primary colors (cyan, magenta, yellow). Red, yellow and blue are also commonly taught as primary colors (usually in the context of subtractive color mixing as opposed to additive color mixing), despite some criticism due to its lack of scientific basis.

Primary colours rs can also be conceptual (not necessarily real), either as additive mathematical elements of a color space or as irreducible phenomenological categories in domains such as psychology and philosophy. Color space primaries are precisely defined and empirically rooted in psychophysical colorimetry experiments which are foundational for understanding color vision. Primaries of some color spaces are complete (that is, all visible colors are described in terms of their primaries weighted by nonnegative primary intensity coefficients) but necessarily imaginary[1] (that is, there is no plausible way that those primary colors could be represented physically, or perceived). Phenomenological accounts of primary colors, such as the psychological primaries, have been used as the conceptual basis for practical color applications even though they are not a quantitative description in and of themselves.

Sets of color space primaries are generally arbitrary, in the sense that there is no one set of primaries that can be considered the canonical set. Primary pigments or light sources are selected for a given application on the basis of subjective preferences as well as practical factors such as cost, stability, availability etc.

The concept of primary colors has a long, complex history. The choice of primary colors has changed over time in different domains that study color. Descriptions of primary colors come from areas including philosophy, art history, color order systems, and scientific work involving the physics of light and perception of color.

Art education materials commonly use red, yellow, and blue as primary colors, sometimes suggesting that they can mix all colors. No set of real colorants or lights can mix all possible colors, however. In other domains, the three primary colors are typically red, green and blue, which are more closely aligned to the sensitivities of the photoreceptor pigments in the cone cells.[2][3]

Color model primaries

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A color model is an abstract model intended to describe the ways that colors behave, especially in color mixing. Most color models are defined by the interaction of multiple primary colors. Since most humans are trichromatic, color models that want to reproduce a meaningful portion of a human's perceptual gamut must use at least three primaries.[4] More than three primaries are allowed, for example, to increase the size of the gamut of the color space, but the entire human perceptual gamut can be reproduced with just three primaries (albeit imaginary ones as in the CIE XYZ color space).

Some humans (and most mammals[5]) are dichromats, corresponding to specific forms of color blindness in which color vision is mediated by only two of the types of color receptors. Dichromats require only two primaries to reproduce their entire gamut and their participation in color matching experiments was essential in the determination of cone fundamentals leading to all modern color spaces.[6] Despite most vertebrates being tetrachromatic,[7] and therefore requiring four primaries to reproduce their entire gamut, there is only one scholarly report of a functional human tetrachromat, for which trichromatic color models are insufficient.[8]

Additive models

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Additive primary color model
A photograph of the red, green, and blue elements (subpixels) of an LCD. Additive mixing explains how light from these colored elements can be used for photorealistic color image reproduction.

The perception elicited by multiple light sources co-stimulating the same area of the retina is additive, i.e., predicted via summing the spectral power distributions (the intensity of each wavelength) of the individual light sources assuming a color matching context.[9]: 17–22  For example, a purple spotlight on a dark background could be matched with coincident blue and red spotlights that are both dimmer than the purple spotlight. If the intensity of the purple spotlight was doubled it could be matched by doubling the intensities of both the red and blue spotlights that matched the original purple. The principles of additive color mixing are embodied in Grassmann's laws.[10] Additive mixing is sometimes described as "additive color matching"[11] to emphasize the fact the predictions based on additivity only apply assuming the color matching context. Additivity relies on assumptions of the color matching context such as the match being in the foveal field of view, under appropriate luminance, etc.[12]

Additive mixing of coincident spot lights was applied in the experiments used to derive the CIE 1931 colorspace (see color space primaries section). The original monochromatic primaries of the wavelengths of 435.8 nm (violet), 546.1 nm (green), and 700 nm (red) were used in this application due to the convenience they afforded to the experimental work.[13]

Small red, green, and blue elements (with controllable brightness) in electronic displays mix additively from an appropriate viewing distance to synthesize compelling colored images. This specific type of additive mixing is described as partitive mixing.[9]: 21–22  Red, green, and blue light are popular primaries for partitive mixing since primary lights with those hues provide a large color triangle (gamut).[14]

The exact colors chosen for additive primaries are a compromise between the available technology (including considerations such as cost and power usage) and the need for large chromaticity gamut. For example, in 1953 the NTSC specified primaries that were representative of the phosphors available in that era for color CRTs. Over decades, market pressures for brighter colors resulted in CRTs using primaries that deviated significantly from the original standard.[15] Currently, ITU-R BT.709-5 primaries are typical for high-definition television.[16]

Subtractive models

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Subtractive primary color model
A magnified representation of small partially overlapping spots of cyan, magenta, yellow, and key (black) halftones in CMYK process printing. Each row represents the pattern of partially overlapping ink "rosettes" so that the patterns would be perceived as blue, green, and red when viewed on white paper from a typical viewing distance. The overlapping ink layers mix subtractively while additive mixing predicts the color appearance from the light reflected from the rosettes and white paper in between them.

The subtractive color mixing model predicts the resultant spectral power distribution of light filtered through overlaid partially absorbing materials, usually in the context of an underlying reflective surface such as white paper.[9]: 22–23 [17] Each layer partially absorbs some wavelengths of light from the illumination while letting others pass through, resulting in a colored appearance. The resultant spectral power distribution is predicted by the wavelength-by-wavelength product of the spectral reflectance of the illumination and the product of the spectral reflectances of all of the layers.[18] Overlapping layers of ink in printing mix subtractively over reflecting white paper, while the reflected light mixes in a partitive way to generate color images.[9]: 30–33 [19] Importantly, unlike additive mixture, the color of the mixture is not well predicted by the colors of the individual dyes or inks. The typical number of inks in such a printing process is 3 (CMY) or 4 (CMYK), but can commonly range to 6 (e.g., Pantone hexachrome). In general, using fewer inks as primaries results in more economical printing but using more may result in better color reproduction.[20]

Cyan (C), magenta (M), and yellow (Y) are good chromatic subtractive primaries in that filters with those colors can be overlaid to yield a surprisingly large chromaticity gamut.[21] A black (K) ink (from the older "key plate") is also used in CMYK systems to augment C, M and Y inks or dyes: this is more efficient in terms of time and expense and less likely to introduce visible defects.[22] Before the color names cyan and magenta were in common use, these primaries were often known as blue and red, respectively, and their exact color has changed over time with access to new pigments and technologies.[23] Organizations such as Fogra,[24] European Color Initiative and SWOP publish colorimetric CMYK standards for the printing industry.[25]

Traditional red, yellow, and blue primary colors as a subtractive system

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Color Mixing Guide, John L. King 1925, cover and plates describing yellow, red, and blue color mixing
A representation of Johannes Itten's color wheel showing his red, yellow, and blue as primary colors within the central equilateral triangle[26]

Color theorists since the seventeenth century, and many artists and designers since that time, have taken red, yellow, and blue to be the primary colors (see history below). This RYB system, in "traditional color theory", is often used to order and compare colors, and sometimes proposed as a system of mixing pigments to get a wide range of, or "all", colors.[27] O'Connor describes the role of RYB primaries in traditional color theory:[28]

A cornerstone component of traditional color theory, the RYB conceptual color model underpins the notion that the creation of an exhaustive gamut of color nuances occurs via intermixture of red, yellow, and blue pigments, especially when applied in conjunction with white and black pigment color. In the literature relating to traditional color theory and RYB color, red, yellow, and blue are often referred to as primary colors and represent exemplar hues rather than specific hues that are more pure, unique, or proprietary variants of these hues.

Traditional color theory is based on experience with pigments, more than on the science of light. In 1920, Snow and Froehlich explained:[29]

It does not matter to the makers of dyes if, as the physicist says, red light and green light in mixture make yellow light, when they find by experiment that red pigment and green pigment in mixture produce gray. No matter what the spectroscope may demonstrate regarding the combination of yellow rays of light and blue rays of light, the fact remains that yellow pigment mixed with the blue pigment produces green pigment.

The widespread adoption of teaching of RYB as primary colors in post-secondary art schools in the twentieth century has been attributed to the influence of the Bauhaus, where Johannes Itten developed his ideas on color during his time there in the 1920s, and of his book on color[30][31] published in 1961.[26]

In discussing color design for the web, Jason Beaird writes:[32]

The reason many digital artists still keep a red, yellow, and blue color wheel handy is because the color schemes and concepts of traditional color theory are based on that model. ... Even though I design mostly for the Web—a medium that's displayed in RGB—I still use red, yellow, and blue as the basis for my color selection. I believe that color combinations created using the red, yellow, and blue color wheel are more aesthetically pleasing, and that good design is about aesthetics.

As with any system of real primaries, not all colors can be mixed from RYB primaries.[33] For example, if the blue pigment is a deep Prussian blue, then a muddy desaturated green may be the best that can be had by mixing with yellow.[34] To achieve a larger gamut of colors via mixing, the blue and red pigments used in illustrative materials such as the Color Mixing Guide in the image are often closer to peacock blue (a blue-green or cyan) and carmine (or crimson or magenta) respectively.[34][35][36] Printers traditionally used inks of such colors, known as "process blue" and "process red", before modern color science and the printing industry converged on the process colors (and names) cyan and magenta[34][36] RYB is not the same as CMY, nor exactly subtractive, but that there is a range of ways to conceptualize traditional RYB as a subtractive system in the framework of modern color science.

Faber-Castell identifies the following three colors: "Cadmium yellow" (number 107) for yellow, "Phthalo blue" (number 110) for blue and "Deep scarlet red" (number 219) for red, as the closest to primary colors for its Art & Graphic color pencils range. "Cadmium yellow" (number 107) for yellow, "Phthalo blue" (number 110) for blue and "Pale geranium lake" (number 121) for red, are provided as primary colors in its basic 5 color "Albrecht Dürer" watercolor marker set.

Mixing pigments in limited palettes

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An 1896 self-portrait by Anders Zorn clearly showing a four-pigment palette of what are thought to be white, yellow ochre, vermillion, and black pigments[37]

The first known use of red, yellow, and blue as "simple" or "primary" colors, by Chalcidius, ca. AD 300, was possibly based on the art of paint mixing.[38]

Mixing pigments for the purpose of creating realistic paintings with diverse color gamuts is known to have been practiced at least since Ancient Greece (see history section). The identity of a set of minimal pigments to mix diverse gamuts has long been the subject of speculation by theorists whose claims have changed over time, for example, Pliny's white, black, one or another red, and "sil", which might have been yellow or blue; Robert Boyle's white, black, red, yellow, and blue; and variations with more or fewer "primary" color or pigments. Some writers and artists have found these schemes difficult to reconcile with the actual practice of painting.[39]: 29–38  Nonetheless, it has long been known that limited palettes consisting of a small set of pigments are sufficient to mix a diverse gamut of colors.[40][41][42][43][44]

The set of pigments available to mix diverse gamuts of color (in various media such as oil, watercolor, acrylic, gouache, and pastel) is large and has changed throughout history.[45][46] There is no consensus on a specific set of pigments that are considered primary colors – the choice of pigments depends entirely on the artist's subjective preference of subject and style of art, as well as material considerations like lightfastness and mixing behavior.[47] A variety of limited palettes have been employed by artists for their work.[48][49]

The color of light (i.e., the spectral power distribution) reflected from illuminated surfaces coated in paint mixes is not well approximated by a subtractive or additive mixing model.[50] Color predictions that incorporate light scattering effects of pigment particles and paint layer thickness require approaches based on the Kubelka–Munk equations,[51] but even such approaches are not expected to predict the color of paint mixtures precisely due to inherent limitations.[52] Artists typically rely on mixing experience and "recipes"[53][54] to mix desired colors from a small initial set of primaries and do not use mathematical modeling.

MacEvoy explains why artists often chose a palette closer to RYB than to CMY:[55][unreliable source?]

Because the 'optimal' pigments in practice produce unsatisfactory mixtures; because the alternative selections are less granulating, more transparent, and mix darker values; and because visual preferences have demanded relatively saturated yellow to red mixtures, obtained at the expense of relatively dull green and purple mixtures. Artists jettisoned 'theory' to obtain the best color mixtures in practice.

Color space primaries

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A conceptual visualization of a color matching experiment. A circular foveal bipartite field (about the size one's thumbnail an arm's length away[56]) is presented to the observer in a dark surround. One part of the field is illuminated by a monochromatic test stimulus. The participant adjusts the intensities of the three coincident monochromatic primary lights (which are usually red, green and blue hues) on either field until both the test stimulus and match stimulus appear as the exact same color. In this case the participant has added red to the 480 nm test stimulus and has almost matched the match stimulus made of only the green and blue lights of comparable intensities. The specific monochromatic primaries shown here are from the Stiles-Burch 1955 experiment.[57]
The CIE RGB,[58][59] CIE XYZ[60] color matching functions and LMS cone fundamentals.[61][62] The curves are all for 2° fields.

A color space is a subset of a color model, where the primaries have been defined, either directly as photometric spectra, or indirectly as a function of other color spaces. For example, sRGB and Adobe RGB are both color spaces based on the RGB color model. However, the green primary of Adobe RGB is more saturated than the equivalent in sRGB, and therefore yields a larger gamut.[63] Otherwise, choice of color space is largely arbitrary and depends on the utility to a specific application.[1]

Imaginary primaries

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Color space primaries are derived from canonical colorimetric experiments that represent a standardized model of an observer (i.e., a set of color matching functions) adopted by Commission Internationale de l'Eclairage (CIE) standards. The abbreviated account of color space primaries in this section is based on descriptions in Colorimetry - Understanding The CIE System.[64]

The CIE 1931 standard observer is derived from experiments in which participants observe a foveal secondary bipartite field with a dark surround. Half of the field is illuminated with a monochromatic test stimulus (ranging from 380 nm to 780 nm) and the other half is the matching stimulus illuminated with three coincident monochromatic primary lights: 700 nm for red (R), 546.1 nm for green (G), and 435.8 nm for blue (B).[64]: 29  These primaries correspond to CIE RGB color space. The intensities of the primary lights could be adjusted by the participant observer until the matching stimulus matched the test stimulus, as predicted by Grassman's laws of additive mixing. Different standard observers from other color matching experiments have been derived since 1931. The variations in experiments include choices of primary lights, field of view, number of participants etc.[65] but the presentation below is representative of those results.

Matching was performed across many participants in incremental steps along the range of test stimulus wavelengths (380 nm to 780 nm) to ultimately yield the color matching functions: , and that represent the relative intensities of red, green, and blue light to match each wavelength (). These functions imply that units of the test stimulus with any spectral power distribution, , can be matched by [R], [G], and [B] units of each primary where:[64]: 28 

Each integral term in the above equation is known as a tristimulus value and measures amounts in the adopted units. No set of real primary lights can match another monochromatic light under additive mixing so at least one of the color matching functions is negative for each wavelength. A negative tristimulus value corresponds to that primary being added to the test stimulus instead of the matching stimulus to achieve a match.

The negative tristimulus values made certain types of calculations difficult, so the CIE put forth new color matching functions , , and defined by the following linear transformation:[64]: 30 

These new color matching functions correspond to imaginary primary lights X, Y, and Z (CIE XYZ color space). All colors can be matched by finding the amounts [X], [Y], and [Z] analogously to [R], [G], and [B] as defined in Eq. 1. The functions , , and based on the specifications that they should be nonnegative for all wavelengths, be equal to photometric luminance, and that for an equienergy (i.e., a uniform spectral power distribution) test stimulus.[64]: 30 

Derivations use the color matching functions, along with data from other experiments, to ultimately yield the cone fundamentals: , and . These functions correspond to the response curves for the three types of color photoreceptors found in the human retina: long-wavelength (L), medium-wavelength (M), and short-wavelength (S) cones. The three cone fundamentals are related to the original color matching functions by the following linear transformation (specific to a 10° field):[64]: 227 

LMS color space comprises three primary lights (L, M, and S) that stimulate only the L-, M-, and S-cones respectively. A real primary that stimulates only the M-cone is impossible, and therefore these primaries are imaginary. The LMS color space has significant physiological relevance as these three photoreceptors mediate trichromatic color vision in humans.

Both XYZ and LMS color spaces are complete since all colors in the gamut of the standard observer are contained within their color spaces. Complete color spaces must have imaginary primaries, but color spaces with imaginary primaries are not necessarily complete (e.g. ProPhoto RGB color space).

Real primaries

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Various RGB color spaces are represented as color triangles with vertices that represent the primaries. The 1931 CIE chromaticity diagram shows the gamut of the standard observer. Primaries outside of the colored region are imaginary.

Color spaces used in color reproduction must use real primaries that can be reproduced by practical sources, either lights in additive models, or pigments in subtractive models. Most RGB color spaces have real primaries, though some maintain imaginary primaries. For example, all the sRGB primaries fall within the gamut of human perception, and so can be easily represented by practical light sources, including CRT and LED displays, hence why sRGB is still the color space of choice for digital displays.

A color in a color space is defined as a combination of its primaries, where each primary must give a non-negative contribution. Any color space based on a finite number of real primaries is incomplete in that it cannot reproduce every color within the gamut of the standard observer.

Practical color spaces such as sRGB[66] and scRGB[67] are typically (at least partially) defined in terms of linear transformations from CIE XYZ, and color management often uses CIE XYZ as a middle point for transformations between two other color spaces.

Most color spaces in the color-matching context (those defined by their relationship to CIE XYZ) inherit its three-dimensionality. However, more complex color appearance models like CIECAM02 require extra dimensions to describe colors appear under different viewing conditions.[68]

Psychological primaries

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Ewald Hering's illustration[69] of the psychological primaries. Red/green and yellow/blue form opponent pairs (top). Each color can be psychologically mixed to make other colors (bottom) with both members of the other pair but not with its opponent according to Hering.

The opponent process was proposed by Ewald Hering in which he described the four unique hues (later called psychological primaries in some contexts): red, green, yellow and blue.[70] To Hering, the unique hues appeared as pure colors, while all others were "psychological mixes" of two of them. Furthermore, these colors were organized in "opponent" pairs, red vs. green and yellow vs. blue so that mixing could occur across pairs (e.g., a yellowish green or a yellowish red) but not within a pair (i.e., reddish green cannot be imagined). An achromatic opponent process along black and white is also part of Hering's explanation of color perception. Hering asserted that we did not know why these color relationships were true but knew that they were.[71] Although there is a great deal of evidence for the opponent process in the form of neural mechanisms,[72] there is currently no clear mapping of the psychological primaries to neural correlates.[73]

The psychological primaries were applied by Richard S. Hunter as the primaries for Hunter L,a,b colorspace that led to the creation of CIELAB.[74] The Natural Color System is also directly inspired by the psychological primaries.[75]

History

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Philosophy

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Philosophical writing from ancient Greece has described notions of primary colors, but they can be difficult to interpret in terms of modern color science. Theophrastus (c. 371–287 BCE) described Democritus' position that the primary colors were white, black, red, and green.[76]: 4  In Classical Greece, Empedocles identified white, black, red, and, (depending on the interpretation) either yellow or green as primary colors.[76]: 8  Aristotle described a notion in which white and black could be mixed in different ratios to yield chromatic colors;[76]: 12  this idea had considerable influence in Western thinking about color. François d'Aguilon's 16th century notion of the five primary colors (white, yellow, red, blue, black) was influenced by Aristotle's idea of the chromatic colors being made of black and white.[76]: 87 The 20th century philosopher Ludwig Wittgenstein explored color-related ideas using red, green, blue, and yellow as primary colors.[77][78]

The color scheme of François d'Aguilon, where the two simple colors of white (albus) and black (niger) are mixed to the "noble" colors of yellow (flavus), red (rubeus), and blue (caeruleus). Orange (aureus), purple (purpureus), and green (viridis) are each combinations of two noble colors.[79]

Light and color vision

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Isaac Newton used the term "primary color" to describe the colored spectral components of sunlight.[80][81] A number of color theorists did not agree with Newton's work. David Brewster advocated that red, yellow, and blue light could be combined into any spectral hue late into the 1840s.[82][83] Thomas Young proposed red, green, and violet as the three primary colors, while James Clerk Maxwell favored changing violet to blue.[84] Hermann von Helmholtz proposed "a slightly purplish red, a vegetation-green, slightly yellowish, and an ultramarine-blue" as a trio.[85] Newton, Young, Maxwell, and Helmholtz were all prominent contributors to "modern color science"[86]: 1–39  that ultimately described the perception of color in terms of the three types of retinal photoreceptors.

Colorants

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Twentieth century art historian John Gage's The Fortunes Of Apelles provides a summary of the history of primary colors[39] as pigments in painting and describes the evolution of the idea as complex. Gage begins by describing Pliny the Elder's account of notable Greek painters who used four primaries.[87] Pliny distinguished the pigments (i.e., substances) from their apparent colors: white from Milos (ex albis), red from Sinope (ex rubris), Attic yellow (sil) and atramentum (ex nigris). Sil was historically confused as a blue pigment between the 16th and 17th centuries, leading to claims about white, black, red, and blue being the fewest colors required for painting. Thomas Bardwell, an 18th century Norwich portrait painter, was skeptical of the practical relevance of Pliny's account.[88]

Robert Boyle, the Irish chemist, introduced the term primary color in English in 1664 and claimed that there were five primary colors (white, black, red, yellow, and blue).[40][89] The German painter Joachim von Sandrart eventually proposed removing white and black from the primaries and that one only needed red, yellow, blue, and green to paint "the whole creation".[39]: 36 

Partial list of authors describing red, yellow, and blue as the (chromatic) primary colors before 18th century (adapted from Shamey and Kuehni)[76]: 108 
Year Author Color terms Descriptive term
c. 325 Chalcidius Pallidus, rubeus, cyaneus Generic colors
c. 1266 Roger Bacon Glaucus, rubeus, viriditas Principal species
c. 1609 Anselmus de Boodt Flavus, ruber, caeruleus Principal colors
c. 1613 François d'Aguilon Flavus, rubeus, caeruleus Simple colors
c. 1664 Robert Boyle Yellow, red, blue Simple, primary
c. 1680 André Félibien Jaune, rouge, bleu Principal, primitive

Red, yellow, and blue as primaries became a popular notion in the 18th and 19th centuries. Jacob Christoph Le Blon, an engraver, was the first to use separate plates for each color in mezzotint printmaking: yellow, red, and blue, plus black to add shades and contrast. Le Blon used primitive in 1725 to describe red, yellow, and blue in a very similar sense as Boyle used primary.[86]: 6 Moses Harris, an entomologist and engraver, also describes red, yellow, and blue as "primitive" colors in 1766.[90] Léonor Mérimée described red, yellow, and blue in his book on painting (originally published in French in 1830) as the three simple/primitive colors that can make a "great variety" of tones and colors found in nature.[91] George Field, a chemist, used the word primary to describe red, yellow, and blue in 1835.[92] Michel Eugène Chevreul, also a chemist, discussed red, yellow, and blue as "primary" colors in 1839.[93][94]

Color order systems

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Johann Heinrich Lambert's "Farbenpyramide" tetrahedron published in 1772. Gamboge (yellow), carmine (red), and Prussian blue pigments are used the corner swatches of each "level" of lightness with mixtures filling the others and white at the top.[95]
Philipp Otto Runge's sketch showing bl (blue), g (yellow) and r (red) as the fundamental colors[95]: 86 

Historical perspectives[96] on color order systems[97] ("catalogs" of color) that were proposed in the 18th and 19th centuries describe them as using red, yellow, and blue pigments as chromatic primaries. Tobias Mayer (a German mathematician, physicist, and astronomer) described a triangular bipyramid with red, yellow and blue at the 3 vertices in the same plane, white at the top vertex, and black and the bottom vertex in a public lecture in 1758.[76]: 115  There are 11 planes of colors between the white and black vertices inside the triangular bipyramid. Mayer did not seem to distinguish between colored light and colorant though he used vermilion, orpiment (King's yellow), and Bergblau (azurite) in partially complete colorings of planes in his solid.[98]: 79  Johann Heinrich Lambert (a Swiss mathematician, physicist, and astronomer) proposed a triangular pyramid with gamboge, carmine, and Prussian blue as primaries and only white at the top vertex (since Lambert could produce a mixture that was sufficiently black with those pigments).[76]: 123  Lambert's work on this system was published in 1772.[95] Philipp Otto Runge (the Romantic German painter) firmly believed in the theory of red, yellow and blue as the primary colors[98]: 87  (again without distinguishing light color and colorant). His color sphere was ultimately described in an essay titled Farben-Kugel[98] (color ball) published by Goethe in 1810.[98]: 84  His spherical model of colors equally spaced red, yellow, and blue longitudinally with orange, green, and violet between them, and white and black at opposite poles.[98]: 85 

Red, yellow, and blue as primary colors

[edit]

Numerous authors have taught that red, yellow, and blue (RYB) are the primary colors in art education materials since at least the 19th century, following the ideas introduced above from earlier centuries.[99][100][101]

A wide variety of contemporary educational sources also describe the RYB primaries. These sources range from children's books[102] and art material manufacturers[103] to painting[104] and color guides.[105] Art education materials often suggest that RYB primaries can be mixed to create all other colors.[106][107]

Criticism

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Albert Munsell, an American painter (and creator of the early 20th century Munsell color system), referred to the notion of RYB primaries as "mischief", "a widely accepted error", and underspecified in his book A Color Notation, first published in 1905.[108]

Itten's ideas about RYB primaries have been criticized as ignoring modern color science[76]: 282 with demonstrations that some of Itten's claims about mixing RYB primaries are impossible.[109]

See also

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References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
A primary color is one of a limited set of colors that serve as fundamental building blocks, which can be combined in varying proportions to produce a wide of other colors within specific color models. These models distinguish between additive color mixing, used in light-based systems like displays, and subtractive color mixing, applied in pigments and printing. In the additive model, the primary colors are red, green, and blue (RGB), which correspond to the three types of cone cells in the human eye that detect color; mixing these lights at full intensity produces white light. For example, combining red and green light yields yellow, while all three together create white, as utilized in computer screens and televisions. Newton's experiments in Opticks (1704) demonstrated that white light is composed of a spectrum of colors, including red, green, and blue among others, laying the groundwork for understanding additive color mixing. In contrast, the subtractive model employs , , and (CMY) as primaries, which work by absorbing portions of white light to reflect desired hues; mixing all three ideally produces . These are the complements of RGB—cyan absorbs , magenta absorbs , and yellow absorbs —making them ideal for inks and paints. In artistic and educational traditions, particularly since the , , , and (RYB) have been taught as subtractive primaries, approximating CMY for simplicity in mixing, though this is less precise scientifically. The concept of primary colors is rooted in trichromatic theory, proposed by Thomas Young in 1802 and refined by , positing that human color vision relies on three receptor types stimulated by red, green, and blue wavelengths. Psychologically, while no single set of primaries is universally "unique," sets like RGB or RYB enable the matching of nearly all perceivable colors through linear combinations, as demonstrated in color-mixing experiments. These principles underpin modern applications from to , ensuring efficient color reproduction.

Fundamental Concepts

Definition and Principles

Primary colors are defined as a minimal set of hues in a given that cannot be created by mixing other colors within that model and serve as the foundational elements for generating all other colors in the system's . These colors are selected such that no single primary can be matched using a combination of the others, ensuring their independence in the mixing process. In , primary colors function as basis vectors within a three-dimensional , where any perceivable color can be represented as a of these primaries. This vector space model relies on the of the primaries, meaning their distributions are such that none can be expressed as a of the others, allowing them to span the full range of human color . A key principle is metamerism, where different sets of primaries can produce colors that appear identical under specific viewing conditions due to matching spectral power distributions, though mismatches may occur under changed illumination or observer variations. The mathematical foundation of color mixing with primaries is rooted in linear algebra, particularly for additive systems where intensities combine. A resulting color C\mathbf{C} is formed by the equation: C=rR+gG+bB\mathbf{C} = r \mathbf{R} + g \mathbf{G} + b \mathbf{B} where R\mathbf{R}, G\mathbf{G}, and B\mathbf{B} are the primary color vectors, and r,g,br, g, b are scalar coefficients ranging from 0 to 1 representing their relative intensities. This ensures that the primaries provide a complete basis for the . For example, in additive mixing with light sources, primaries combine to produce brighter colors up to , while in subtractive mixing with paints or inks, they absorb wavelengths to yield darker tones down to , illustrating the directional principles without altering the core independence requirement.

Historical vs. Modern Interpretations

In pre-modern interpretations, primary colors were understood through artistic intuition and practical availability of pigments, with , , and selected as the foundational trio for mixing a wide range of hues in and . These choices stemmed from natural materials like red ochre () for reds, yellow ochre for , and ultramarine (from ) or (copper-based) for blues, which were among the most stable and vibrant options accessible to artists from prehistoric times through the . The concept originated in ancient philosophy, such as Aristotle's identification of , , and violet (or /violet) tones in rainbows around 350 BCE, though differing from the later red-yellow-blue model, and was formalized in the 17th century by figures like , who termed them "primary colours" based on their perceived simplicity and ability to intermix into secondary tones, guided by tradition rather than empirical science. In contrast, modern interpretations define primary colors through scientific principles of physics and , emphasizing spectral wavelengths and human perception over pigment limitations. Primaries are now established via standardized models like the , which uses three imaginary primaries (X, Y, Z) derived from color-matching experiments on human observers to quantify all visible colors without relying on physical pigments or lights. This approach, adopted by the in 1931, prioritizes perceptual uniformity and spectral coverage, allowing for precise representation in fields like lighting and displays. The key shift occurred post-19th century, transitioning from the subtractive focus of RYB pigments—rooted in artistic tradition—to additive models like RGB for and digital screens, alongside subtractive CMYK for , driven by technological advances in synthetic dyes and color . The three-color process using , , and was pioneered by Christoph le Blon in the early . The modern CMYK system, with , , , and black, became dominant in 20th-century for its efficiency in producing a broader on and was refined for industrial use. Despite this, the RYB model persists in due to its intuitive simplicity for teaching basic pigment mixing to young artists, even as CMYK and RGB underpin professional and .

Primaries in Color Mixing Models

Additive Primaries

Additive primary colors are sets of hues used in -based color mixing, where colors are produced by superimposing beams of at specific wavelengths, resulting in brighter tones and white when all primaries are combined at full intensity. The most widely adopted set consists of , , and (RGB), selected for their ability to stimulate the eye's cells effectively and approximate the full through additive superposition. Isaac Newton's 1704 work laid foundational principles for additive color mixing through experiments recombining prismatic spectra to form white light, though the standard RGB primaries were established later based on physiological studies of human vision. In modern applications, the RGB set dominates digital displays, where , , and light-emitting diodes or phosphors generate images by varying intensities to match perceived colors. The mechanics of additive mixing follow Grassmann's laws, formulated in 1853, which establish linearity in color : mixtures obey additivity (the response to combined lights equals the sum of individual responses), proportionality (scaling intensity scales the response linearly), and independence (hue and saturation remain constant under certain mixtures). These laws enable representation in tristimulus color spaces like CIE XYZ, where a color's coordinates derive from weighted sums of primary contributions; for RGB primaries, the X tristimulus value (related to ) is given by X=xrR+xgG+xbBX = x_r R + x_g G + x_b B with xr,xg,xbx_r, x_g, x_b as chromaticity coefficients and R,G,BR, G, B as primary intensities, illustrating the vector addition in three-dimensional color space. Additive primaries find primary applications in televisions, computer monitors, and digital photography, where RGB systems render images by controlling light emission to simulate natural scenes. However, standard RGB gamuts, such as sRGB, cover only about 35% of the CIE 1931 visible color space, limiting reproduction of highly saturated hues like deep cyans or vivid yellows. To address this, advancements including ITU-R Recommendation BT.2020 (2012), widely adopted in the 2020s, define expanded RGB primaries for high-dynamic-range (HDR) displays, achieving up to 76% coverage of visible colors to enhance realism in ultra-high-definition content.

Subtractive Primaries

Subtractive color mixing involves the combination of pigments, dyes, or inks that selectively absorb portions of the visible , resulting in the of new colors through the subtraction of reflected or transmitted . In this model, the primary colors are typically , , and (CMY), which, when mixed in equal proportions, theoretically produce a deep by absorbing nearly all wavelengths of . This contrasts with additive mixing, where light sources combine to produce brighter colors. The standard set of subtractive primaries, CMY, is designed for ideal subtractive systems, such as those used in color reproduction technologies. Historically, the red-yellow-blue (RYB) model served as an approximation in artistic mixing, though it deviates from the precise absorption properties of CMY due to the limitations of . In practice, a fourth component, (K), is often added to the CMY set—forming the CMYK model—to enhance , reduce usage, and achieve true blacks without relying solely on the overmixing of CMY, which can result in a muddy tone. Expanded models like CMYK+O (adding orange) have emerged in the 2020s for commercial printing, improving coverage and color fidelity in applications. The mechanics of subtractive mixing are described by the Kubelka-Munk theory, which models the interaction of light with turbid media like paints and inks through absorption and . This theory provides a foundational equation for the ratio of absorption (K) to (S) coefficients based on (R): KS=(1R)22R\frac{K}{S} = \frac{(1 - R)^2}{2R} Here, R represents the of the material, allowing predictions of how layered s alter color appearance. Originally formulated in 1931, this model remains central to understanding formulation and color matching in subtractive systems. Subtractive primaries find primary applications in , where CMYK inks are layered on paper to reproduce full-color images, and in photographic color filters that absorb specific wavelengths to isolate color channels. Overprinting issues, such as and ink trapping, necessitate the inclusion of black to maintain color fidelity and avoid desaturation from imperfect CMY overlap. Advancements post-2010 have focused on eco-friendly subtractive primaries, incorporating bio-based and water-soluble inks to reduce volatile organic compounds (VOCs) and improve in . For instance, vegetable oil-derived , , and inks have been developed to minimize environmental impact while maintaining compatibility with standard CMYK processes, though full biodegradability remains challenging due to non-degradable components.

Traditional Red-Yellow-Blue System

Origins in Pigment Mixing

The red-yellow-blue (RYB) system originated in the early among European artists and dyers as a practical framework for subtractive mixing, drawing from observations of how natural colorants could approximate a full range of hues. This approach was first visually represented in François d'Aguilon's Opticorum Libri Sex (1613), which positioned , , and as fundamental colors derived from mixtures of light and dark. By the mid-, described these as "simple and primary colors" essential for imitating nature's palette in and . This concept was further popularized by in his 1810 , where he presented an RYB-based emphasizing artistic harmony and perceptual effects. Historically, RYB served as an accessible approximation of the ideal subtractive primaries—, , and —using readily available natural and synthetic . Red was typically achieved with (, either natural or artificial), prized for its bright, opaque hue in and . came from ( earths) or (a resinous gum), providing warm, durable tones suitable for . Blue relied on (a copper carbonate mineral) in earlier periods or, from 1704 onward, the synthetic (), which offered an affordable, intense alternative to costly and revolutionized palettes. These selections reflected the limitations of pre-industrial , where ' absorption spectra imperfectly aligned with theoretical ideals. In pigment mixing under the RYB system, equal parts of primary pairs produce secondary colors: red and yellow yield orange, yellow and create , and and red form (or violet). Unequal ratios or further combinations with the third primary generate tertiary hues, such as red-orange or , allowing artists to build complex palettes from a minimal set. This intermixture model, formalized by the , assumed all visible colors could derive from these bases, often adjusted with for depth or for tints to enhance vibrancy. However, the RYB gamut exhibited inherent limitations due to the pigments' spectral overlaps and lower saturation. Mixtures often resulted in muted or brownish tones, and certain colors, like a pure or vivid lime green, lay outside the achievable range, as the blue pigment leaned too violet and the red too orange to subtract the necessary wavelengths cleanly. Practical techniques in during the 18th and 19th centuries emphasized restrained palettes centered on RYB primaries to ensure harmony and efficiency. Artists layered glazes over monochromatic underpaintings, mixing on the palette to avoid overworking colors, as recommended in manuals like Moses Harris's The Natural System of Colours (1766), which illustrated an RYB wheel for harmonious combinations. Tobias Mayer's color triangle (c. 1758), using , , and at its vertices, demonstrated graduated mixtures for tonal progression, influencing instructional texts on palette organization and . These methods constrained artists to earthy, subdued effects but fostered economical workflows in studios. Non-Western traditions offer early analogs to RYB's focus on select hues for pigment-based systems, such as the ancient Chinese five-color framework, which classified , , (qing), , and as elemental primaries tied to cosmology. Rooted in the Wuxing (five phases) theory from the (c. 1046–256 BCE), this system guided and in and ceramics, emphasizing balanced mixing of these colors to represent harmony, much like RYB's practical hue derivation in European art.

Applications and Limitations

The red-yellow-blue (RYB) system finds practical application in art education, where it forms the basis for teaching color wheels and basic mixing principles to students. In K-12 curricula, RYB is persistently used to introduce concepts of primary, secondary, and tertiary colors through hands-on activities like and , despite its known inaccuracies in representing full color gamuts. This approach persists because it simplifies initial learning for young students, allowing them to experiment with interactions in crafts and basic design projects. In and crafts, RYB remains relevant for creating harmonious schemes, such as triadic color palettes derived from the traditional wheel, which guide selections for textiles, wallpapers, and decorative elements. These applications are increasingly supplemented by modern adaptations; for instance, digital tools like incorporate hybrid RYB-CMY workflows, where artists use RYB-inspired harmony rules in the Color Guide panel for conceptual design and switch to CMYK for print-ready output, bridging traditional intuition with subtractive accuracy. Despite its utility, the RYB system has significant limitations in pigment mixing. It struggles to produce vibrant greens and blues, as combining yellow and blue pigments often yields dull, muddy tones due to the overlapping spectral absorptions of traditional paints, limiting the achievable gamut compared to the cyan-magenta-yellow (CMY) model. The CMY primaries expand the color range by enabling brighter secondary colors and a broader spectrum overall, making RYB less suitable for high-fidelity reproduction. Additionally, RYB mixtures are prone to metameric failures, where colors appear matched under one light source but shift under another due to differing spectral compositions of the pigments involved. This inconsistency arises because RYB does not account for the full complexity of human color perception or pigment impurities, leading to unreliable results in varying lighting conditions. In recent years, art educators have increasingly discussed shifting from RYB toward more accurate models like CMY or perceptual systems to better align with modern and prepare students for digital applications.

Primaries in Color Spaces

Real Primaries

Real primaries refer to physically realizable colors, such as monochromatic lights, that can span the visible color using only positive linear combinations, without negative coefficients in color matching. These primaries lie on or within the boundary of the spectral locus in the CIE 1931 chromaticity diagram, enabling the representation of all real colors through additive mixing. The foundational example is the CIE 1931 RGB color space, which employs spectral primaries at wavelengths of 700 nm for , 546.1 nm for , and 435.8 nm for , forming a triangular gamut that encompasses a significant portion of human-perceivable colors. In implementation, real primaries are visualized using Maxwell's triangle, a geometric representation in the plane of constant where the vertices correspond to the RGB primaries' . The coordinates for these primaries are derived from tristimulus values XX, YY, and ZZ via the equations: x=XX+Y+Z,y=YX+Y+Zx = \frac{X}{X + Y + Z}, \quad y = \frac{Y}{X + Y + Z} This transformation projects the three-dimensional onto a two-dimensional for analysis. However, a key challenge with Maxwell's triangle is its lack of uniform spacing; equal distances in the do not correspond to equal perceived color differences, as the primaries are not optimally spaced for perceptual uniformity, prompting refinements in later color models. Applications of real primaries are central to modern standards and display technologies. For instance, the standard defines real primaries with specific chromaticities—red at (0.6400, 0.3300), green at (0.3000, 0.6000), and blue at (0.1500, 0.0600)—derived from CIE 1931 values and aligned with BT.709 for broadcast compatibility, ensuring consistent color reproduction across devices. In hardware calibration for displays, these primaries guide adjustments to monitor RGB outputs, using colorimeters to match target chromaticities and for accurate rendering in professional workflows. Recent advancements have expanded the of real primaries through (QD) technologies in televisions. Post-2020 developments, such as QD-OLED panels introduced by and in 2022, utilize narrow-band QD emitters as primaries to achieve up to 90% coverage of the color space, surpassing traditional LCD gamuts by enabling purer spectral colors with full-width half-maximum emissions as low as 20–30 nm.

Imaginary Primaries

Imaginary primaries refer to theoretical color components that lie outside the visible spectrum, enabling the representation of all real colors using only positive coefficients in linear combinations. This approach avoids the negative values that arise in physical primary systems when matching certain colors, simplifying mathematical operations in . A prominent example is the CIE 1931 XYZ color space, developed by the (CIE) to standardize color measurement. In this system, the primaries X, Y, and Z are imaginary, with their corresponding color-matching functions exhibiting no negative lobes across the spectrum. The Y component directly represents , while X and Z are contrived to ensure uniformity in calculations. The transformation from a real primary space like sRGB to CIE XYZ involves a 3x3 matrix derived from the chromaticities of the RGB primaries and the reference white point (typically D65 illuminant). For sRGB under D65, the matrix is: (XYZ)=(0.41245640.35757610.18043750.21267290.71515220.07217500.01933390.11919200.9503041)(RGB)\begin{pmatrix} X \\ Y \\ Z \end{pmatrix} = \begin{pmatrix} 0.4124564 & 0.3575761 & 0.1804375 \\ 0.2126729 & 0.7151522 & 0.0721750 \\ 0.0193339 & 0.1191920 & 0.9503041 \end{pmatrix} \begin{pmatrix} R \\ G \\ B \end{pmatrix}
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