Mixing Paint: An analysis of color value transformations in multiple coordinate spaces using multivariate linear regression
Fuente:
arXiv
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866914844511305728 |
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| author | Messick, Alexander |
| author_facet | Messick, Alexander |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_15364 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Mixing Paint: An analysis of color value transformations in multiple coordinate spaces using multivariate linear regression Messick, Alexander Optics Computer Vision and Pattern Recognition 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. |
| title | Mixing Paint: An analysis of color value transformations in multiple coordinate spaces using multivariate linear regression |
| topic | Optics Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2406.15364 |