How to convert RGB signals to colorimetric and densitometric values

Hansjoerg Kuenzli

doi:10.1117/12.373440

21 December 1999 How to convert RGB signals to colorimetric and densitometric values

Hansjoerg Kuenzli

Proceedings Volume 3963, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts V; (1999) https://doi.org/10.1117/12.373440
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

Several techniques are discussed in literature, such as first or higher order polynomial modeling and the application of neural networks. We used another technique based on a Principal Component Analysis (PCA) in order to predict spectra. To calibrate the camera one may work with reflectance spectra or with density spectra. The PCA is affected by this choice and leads to basic spectra, which are more sensitive to either reflectance or to density. We discuss the advantages/disadvantages working with reflectances or densities and we present the results we have obtained by calculating colorimetric and densitometric values.

Citation Download Citation

Hansjoerg Kuenzli "How to convert RGB signals to colorimetric and densitometric values", Proc. SPIE 3963, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts V, (21 December 1999); https://doi.org/10.1117/12.373440

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