# Color Theory

A variety of assorted topics: 

* On the color [brown](https://www.youtube.com/watch?v=wh4aWZRtTwU), which is dark orange with context.
* Representation of color betwen RBG and[ HSV ](https://en.wikipedia.org/wiki/HSL_and_HSV); [learning](http://learn.leighcotnoir.com/artspeak/elements-color/hue-value-saturation/)

![Schubert 2018 figure annotated with left and right half response values](https://354051965-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-M7czuNAEqLJsrfUWARA%2F-MAL_NtmzvcvIqY3NvxS%2F-MAL__Xc0NonT5Bgu9On%2Fimage.png?alt=media\&token=b1a90c40-81a7-4136-8f9c-d09169d339c1)

Figure 3 of [Chapter 16](https://www.ecse.rpi.edu/~schubert/Light-Emitting-Diodes-dot-org/Sample-Chapter.pdf) is approximately [normally distributed](https://en.wikipedia.org/wiki/Normal_distribution): wavelengths for maximum relative sensitivity is listed on the top scale, half responses on the bottom, in nanometers.

$$
f\_i(\left.\lambda\right|\sigma\_i,\mu\_i)=\frac{e^{-\frac{1}{2}\left(\frac{\lambda-\mu\_i}{\sigma\_i}\right)^{2}}}{\sigma\_i\sqrt{2 \pi}} \quad i = {\text{blue, black, green, red}}
$$

The expression is equal to $$1$$ for the maximum and $$0.5$$ for the annotated values. 

How people [see ](https://www.aao.org/eye-health/tips-prevention/how-humans-see-in-color)color