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Accelerating spectral-based color separation within the Neugebauer subspace

[+] Author Affiliations
Philipp Urban

Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Munsell Color Science Laboratory, 54 Lomb Memorial Drive, Rochester, New York 14623

Mitchell R. Rosen

Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Munsell Color Science Laboratory, 54 Lomb Memorial Drive, Rochester, New York 14623

Roy S. Berns

Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Munsell Color Science Laboratory, 54 Lomb Memorial Drive, Rochester, New York 14623

J. Electron. Imaging. 16(4), 043014 (December 12, 2007). doi:10.1117/1.2805447
History: Received June 22, 2006; Revised February 07, 2007; Accepted June 26, 2007; Published December 12, 2007
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Spectral separation is the process of obtaining printer control values to reproduce a given spectral reflectance. Given a multispectral image where each pixel represents a spectral reflectance, separation could be implemented by inverting a physical printer model on a pixel-by-pixel basis. Such a process would obviously need to be very fast to handle high-resolution images in a reasonable time. For a printer whose spectral response is characterized by the Yule–Nielsen spectral Neugebauer model, the linear regression iteration (LRI) method can be used to invert the model. We introduce the subspace linear regression iteration (SLRI) method, a modification of LRI shown to be significantly accelerated due to performing its calculations within the subspace determined by the Neugebauer primaries. Using this subspace approach, the number of multiplications becomes independent of the spectral sampling rate. Using a standard six color printer and a common spectral sampling rate, the number of multiplications can be decreased by about two-thirds without changing the convergence behavior.

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© 2007 SPIE and IS&T

Citation

Philipp Urban ; Mitchell R. Rosen and Roy S. Berns
"Accelerating spectral-based color separation within the Neugebauer subspace", J. Electron. Imaging. 16(4), 043014 (December 12, 2007). ; http://dx.doi.org/10.1117/1.2805447


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