Mixing Paint: An analysis of color value transformations in multiple coordinate spaces using multivariate linear regression
<|reference_start|>Mixing Paint: An analysis of color value transformations in multiple coordinate spaces using multivariate linear regression: I explore the mathematical transformation that occurs in color coordinate space when physically mixing paints of two different colors. I tested 120 pairs of 16 paint colors and used a linear regression to find the most accurate combination of input parameters, both in RGB space and several other color spaces. I found that the fit with the strongest coefficient of determination was a geometrically symmetrized linear combination of the colors in CIEXYZ space, while this same mapping in RGB space returns a better mean squared error.<|reference_end|>
@article{messick2024mixing,
    title={Mixing Paint: An analysis of color value transformations in multiple
  coordinate spaces using multivariate linear regression},
    author={Alexander Messick},
    journal={arXiv preprint arXiv:2406.15364},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.15364},
    primaryClass={physics.optics cs.CV}
}