Dotgain estimation using linear least squares incorporating neighboring and clustering effects

T. Stamm; K. Simon

doi:10.1117/12.805302

19 January 2009 Dotgain estimation using linear least squares incorporating neighboring and clustering effects

T. Stamm, K. Simon

Proceedings Volume 7241, Color Imaging XIV: Displaying, Processing, Hardcopy, and Applications; 72411A (2009) https://doi.org/10.1117/12.805302
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

This work presents a model for dotgain prediction using repetitive patterns based on the characterization of neighboring and clustering effects of a specific printing device. Estimating dotgain is done nowadays by measuring patches of color patterns realized by a specific printing device. Current models use the information about adjacent dots to predict dotgain. However, research has shown that dotgain is influenced by the neighborhood of a dot which in general is bigger than one dot-size, in particular in connection with laser printers. The presented method predicts the dotgain of a dot considering a larger surrounding based on the observation of two main parameters affecting the luminance of a pattern which can be fitted using linear regression.

Citation Download Citation

T. Stamm and K. Simon "Dotgain estimation using linear least squares incorporating neighboring and clustering effects", Proc. SPIE 7241, Color Imaging XIV: Displaying, Processing, Hardcopy, and Applications, 72411A (19 January 2009); https://doi.org/10.1117/12.805302

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