Name
Abstract | ||
|---|---|---|
For an optimum quality control in newspaper printing, patches printed with different combinations of CMYK should be colorimetrically measured. However, control strips with a large number of color patches cannot be included into the layout of newspapers, due to the additional space they need. Moreover, such control strips require a considerable amount of time for the measurement. To overcome these problems, it is preferable to print and to analyze only a few color patches and to obtain most information out of these.A method using neural networks has been developed to predict color values of two and three-color overprints from those of the primary inks, as well as color values of the primary inks from the two and three-color overprints. The feature of the method is that spectra are predicted from which colorimetric values (XYZ and L*a*b*) and densitometric values are derived.The accuracy of the predicted CIELab values of the primaries from those of the overprints is typically within Delta E*(ab) = 1 for the two-color overprints, and within Delta E*(ab) = 2 for the three-color overprints. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1117/12.334575 | COLOR IMAGING: DEVICE-INDEPENDENT COLOR, COLOR HARDCOPY, AND GRAPHIC ARTS IV |
Keywords | Field | DocType |
newspaper printing, neural networks, colorimetry, quality control | Telecommunications,Optical engineering,Computer science,Algorithm,Newspaper,STRIPS,Colorimetry,Artificial neural network | Conference |
Volume | ISSN | Citations |
3648 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hansjörg Künzli | 1 | 0 | 0.34 |
| Anja Noser | 2 | 0 | 0.34 |
| Marcel Loher | 3 | 0 | 0.34 |
| Safer Mourad | 4 | 4 | 2.96 |