Not sure if done before, but trying to predict Tina printer error for chips. Took the images of the digital color wheels in the threads as well as the actual printed versions.. put side by side.. top is digital, bottom is output.. from past pages in thread.
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Then reduced size (get average color vs grain) and recorded CMYK values for digital (input) vs actual (output) - Link to file below for reference:
https://docs.google.com/spreadsheet...ouid=112612925856116927892&rtpof=true&sd=true
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Then did a regression analysis against all to get a predictor equation for each CMYK value (C, M, Y, K tabs - did not go through p-value exclusion loop, e.g. omit >.15 values and rerun):
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That resulted in an overall color prediction:
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Bottom line... on average predictor equation from regression would forecast the true CMYK output 10 total points (C+Y+M+K) closer than the input CMYK value... but feel like there is opportunity to do a polynomial/differential look to go further because some of the correlations don't appear linear... e.g. magenta:
Magenta digital vs magenta actual, across just pink/purple chips (highest magenta):
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Edit: I like this example because it also clearly shows magenta over-indexes in actual printing.. have seen a few times in chips before.
Any thoughts? I'm trying to think through a way to run a better statistical analysis (non-linear, multivariable) to get a predictor equation without doing too much manual creation of color plots/fitting.
If we can well correlate... my thoughts are we should be able to get good faux inlay results... assuming Tina's "error" for each color is somewhat consistent, but may need a similar analysis also done on the inlay printing as well (assuming separate printer for stickers/inlays vs chips).