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Color gradients can be named by :

• dimension
• color model
• function used to create gradient
• Number of colors

[edit] Dimension

[edit] 1D

Here color is proportional to 1D variable. For example in 2D space:

• x

• r=abs(z)

• angle=arg(z)

1D gradient with color proportional to x

1D gradient with color proportional to radius

1D gradient with color proportional to angle

[edit] 2D

Domain coloring plot of the function
ƒ(x) =(x² − 1)(x − 2 − i)²/(x² + 2 + 2i). The hue represents the function argument, while the saturation represents the magnitude.

Because color can be treated as more then 1D value it is used to represent more then one ( real or 1D) variable. For example :

• Robert Munafo uses 2 values from HSV model of color ^[1][2]
• John J. G. Savard uses own function ^[3][4]

• Domain coloring is a technique for visualizing functions of a complex variable

[edit] 3D

• Hans Lundmark page^[5]

[edit] Color model

[edit] RGB

[edit] HSV

[edit] Function

[edit] Number of colors

Number of color is determined by color depth :

[edit] 2 colors

[edit] 4 colors

[edit] 8 colors

[edit] 16 colors

[edit] 32 colors

[edit] 64 colors

6-bit RGB uniform palette with black borders

Image:6-bit RGB uniform palette

[edit] 128 colors

[edit] 256 colors

[edit] 512 colors

256 VGA color gradient

[edit] 16 mln of colors

[edit] References

1. ↑ R2.1/2.C(1/2) by Robert Munafo
2. ↑ Color by Robert Munafo
3. ↑ The Mandelbrot Function by John J. G. Savard
4. ↑ The Mandelbrot Function 2 by John J. G. Savard
5. ↑ [http://www.mai.liu.se/~halun/complex/domain_coloring-unicode.html Visualizing complex analytic functions using domain coloring by Hans Lundmark ]