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Proceedings Paper

Inter-substrate warping to predict color from reduced sample sets
Author(s): Pau Soler; Martí Maria
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Paper Abstract

In this paper we present a method to characterize the printer color output with few samples. Color measurements previously obtained on other substrates and stored in the printer are used to increase the accuracy of measurements in a new target media, thus reducing the number of samples needed. The method is simple and generic; a geometrical warp is applied to the color space to adapt the differences between the two media. The warping is built with a small set of measurements on the target media and extended to the entire color space with bi-harmonic spline interpolation. We tested the method on a HP T1100 ink-jet printer, at different levels of sampling -from 27 to 512 points- and with seven different substrate families covering a wide variety of applications. For 125 samples, results show a mean estimation error across media of mean 0.67 dE76 and 95 percentile 1.48 dE76 with respect to the finer sampling of 512 samples. This represents an improvement in color accuracy with respect to linear interpolation of about 60%, a relationship holds at other levels of sampling. In conclusion, color space warping is proven to be an effective method to reduce the needed color samples by using previously characterized media.

Paper Details

Date Published: 28 January 2008
PDF: 11 pages
Proc. SPIE 6807, Color Imaging XIII: Processing, Hardcopy, and Applications, 68070Z (28 January 2008); doi: 10.1117/12.766626
Show Author Affiliations
Pau Soler, Hewlett-Packard Large Format Printing Division (Spain)
Martí Maria, Hewlett-Packard Large Format Printing Division (Spain)


Published in SPIE Proceedings Vol. 6807:
Color Imaging XIII: Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu; Shoji Tominaga, Editor(s)

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