Gray component replacement using color mixing models

Henry R. Kang

doi:10.1117/12.175317

9 May 1994 Gray component replacement using color mixing models

Henry R. Kang

Proceedings Volume 2171, Color Hard Copy and Graphic Arts III; (1994) https://doi.org/10.1117/12.175317
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

Abstract

A new approach to the gray component replacement (GCR) has been developed. It employs the color mixing theory for modeling the spectral fit between the 3-color and 4-color prints. To achieve this goal, we first examine the accuracy of the models with respect to the experimental results by applying them to the prints made by a Canon Color Laser Copier-500 (CLC-500). An empirical halftone correction factor is used for improving the data fitting. Among the models tested, the halftone corrected Kubelka-Munk theory gives the closest fit, followed by the halftone corrected Beer-Bouguer law and the Yule-Neilsen approach. We then apply the halftone corrected BB law to GCR. The main feature of this GCR approach is based on the spectral measurements of the primary color step wedges and a software package implementing the color mixing model. The software determines the amount of the gray component to be removed, then adjusts each primary color until a good match of the peak wavelengths between the 3-color and 4-color spectra is obtained. Results indicate that the average (Delta) E_ab between cmy and cmyk renditions of 64 color patches is 3.11 (Delta) E_ab. Eighty-seven percent of the patches has (Delta) E_ab less than 5 units. The advantage of this approach is its simplicity; there is no need for the black printer and under color addition. Because this approach is based on the spectral reproduction, it minimizes the metamerism.

Citation Download Citation

Henry R. Kang "Gray component replacement using color mixing models", Proc. SPIE 2171, Color Hard Copy and Graphic Arts III, (9 May 1994); https://doi.org/10.1117/12.175317

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