Can Prime Colors Form a Basis for Color Space?

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Discussion Overview

The discussion revolves around the concept of prime colors and their potential to form a basis for color space. Participants explore the definitions of prime and composite colors, the relationship between color models such as RGB and CMY, and the implications of these models in both additive and subtractive color systems.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant suggests that prime colors, being indivisible, could form a basis for color space, as composite colors can be expressed as combinations of these prime colors.
  • Another participant references color space concepts like gamut and color triangles, indicating a broader context for the discussion.
  • A different viewpoint introduces the idea that Yellow, Magenta, and Blue could also serve as a basis, presenting a matrix representation to support linear independence.
  • Some participants argue that any three colors can define a color space, noting that RGB is not uniquely special but aligns with human visual response.
  • Clarifications are sought regarding the definitions of "prime color" and "composite color," with one participant explaining the three types of cones in the human eye and their relation to color perception.
  • Another participant outlines the differences between additive (RGB) and subtractive (CMY) color systems, emphasizing the practical implications in printing and color representation.
  • One participant reflects on the misleading nature of the term "primary colors" as taught in schools, acknowledging their previous misconceptions and expressing gratitude for the insights gained from the discussion.

Areas of Agreement / Disagreement

Participants generally agree that multiple sets of primary colors exist and that RGB is not the only basis for color space. However, there is no consensus on the definitions of prime and composite colors, nor on the implications of these definitions in relation to color space.

Contextual Notes

The discussion highlights the complexity of color theory, including the dependence on definitions of color types and the varying contexts in which color spaces are applied. There are unresolved nuances regarding the implications of different color models and their practical applications.

Who May Find This Useful

This discussion may be of interest to individuals studying color theory, those involved in graphic design or printing, and anyone exploring the intersection of human perception and color representation.

Enjoicube
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Since prime colors cannot be created by any combination of any other colors, and since composite colors are combinations of the prime colors by definition, does this mean that the prime colors could form a basis for a space of colors? If you split up a color into components, like real vectors, then you can express composite colors as combinations of the prime colors. Does this idea make any sense? Because I found that it correctly predicted the resulting colors when I combined colors in a spectroscopy lab.
 
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Yes, take a look at Gamut, 'color space' and 'color triangle' eg on wiki.
 
Very very odd and interesting. Seems that Yellow, Magenta and plain blue can also be a basis, as

Cyan=Red+Green
Magenta=Green+Blue
Blue=Blue

Now, if these are expressed in matrix form, as

(1,1,0)
(0,1,1)
(0,0,1)

Then they are in echelon form (and expressed in terms of basis vectors), and so they are linearly independent. This makes me asky why some printers use Cyan Yellow and Magenta instead of Red Green Blue?
 
You can pick any three colors and define a color space - there is nothing particulalry special about RGB except that it roughly matches your eye's response.
The reason for printers using CMY is that printing involves reflected light, if you view a picture in white light then eg. cyan and megenta together will absorb all wavelengths except blue - giving you a blue area.
 
It would help if you would explain what you mean by "prime color" and "composite color". Basically, because the human eye has three different kinds of "cones" that primarily distinguish three different kinds of color, colors seen by the human eye can be thought of as a three dimensional vector space. Of course, there are an infinite number of different bases for a three dimemsional space. That has nothing to do with the usual concepts of "prime" or "composite" numbers.
 
There are many sets of primary colours. Two of the most common ones are:
red, green, blue - the additive primaries of light
With all three set to zero, you get black; all three at max you get white.

cyan, magenta, yellow - the subtractive primaries of pigments
With all three set to zero, you get white*; all three at max you get black**.

*the colour of the background
** pigments are not perfect, so a true black can't be printed. This is why print primaries add a black: i.e.: CMYK. In fact, the entire colour space of printing is much smaller than the colour space of RGB. There's a whole science and industry to cramming the ideal RGB into the realistic of CMYK.

And, as others have pointed out, it is no coincidence that RGB are the three colours associated with human eyesight.


Wait, you know all this... I've come late to the table...
 
Yes, now I realize that RGB is not the only basis for color space, and of course three dimensional vector space has infinite number of different bases, however, for example, it would be quite thoughtless to choose {34(x^2)+23x+5,87x+54,798} as a basis for the space of polynomials of degree 2, although it is a linearly independent set and spans the space. It makes sense that we would choose a basis that our eyes are sensitive to such as RGB or CYM. Primary colors is a very misleading definition though, as when taught in primary school, it is said in such a way that implies RGB are the only primary colors, I guess that is where my thinking got off track. Thank you all for your responses, I have learned quite a bit here.

Edit: I just researched the cones of the eye, apparently their sensitivity peaks at roughly RGB, this makes sense now.
 
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