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Journal of the Optical Society of America A

Journal of the Optical Society of America A


  • Editor: Franco Gori
  • Vol. 31, Iss. 6 — Jun. 1, 2014
  • pp: 1284–1294

Optimization of spectral printer modeling based on a modified cellular Yule–Nielsen spectral Neugebauer model

Qiang Liu, Xiaoxia Wan, and Dehong Xie  »View Author Affiliations

JOSA A, Vol. 31, Issue 6, pp. 1284-1294 (2014)

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The study presented here optimizes several steps in the spectral printer modeling workflow based on a cellular Yule–Nielsen spectral Neugebauer (CYNSN) model. First, a printer subdividing method was developed that reduces the number of sub-models while maintaining the maximum device gamut. Second, the forward spectral prediction accuracy of the CYNSN model for each subspace of the printer was improved using back propagation artificial neural network (BPANN) estimated n values. Third, a sequential gamut judging method, which clearly reduced the complexity of the optimal sub-model and cell searching process during printer backward modeling, was proposed. After that, we further modified the use of the modeling color metric and comprehensively improved the spectral and perceptual accuracy of the spectral printer model. The experimental results show that the proposed optimization approaches provide obvious improvements in aspects of the modeling accuracy or efficiency for each of the corresponding steps, and an overall improvement of the optimized spectral printer modeling workflow was also demonstrated.

© 2014 Optical Society of America

OCIS Codes
(300.6550) Spectroscopy : Spectroscopy, visible
(330.1690) Vision, color, and visual optics : Color
(330.1730) Vision, color, and visual optics : Colorimetry

ToC Category:
Vision, Color, and Visual Optics

Original Manuscript: September 19, 2013
Revised Manuscript: March 18, 2014
Manuscript Accepted: April 21, 2014
Published: May 20, 2014

Virtual Issues
Vol. 9, Iss. 8 Virtual Journal for Biomedical Optics

Qiang Liu, Xiaoxia Wan, and Dehong Xie, "Optimization of spectral printer modeling based on a modified cellular Yule–Nielsen spectral Neugebauer model," J. Opt. Soc. Am. A 31, 1284-1294 (2014)

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