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Journal of Electronic Imaging

Adaptive characterization method for desktop color printers
Author(s): Hui-Liang Shen; Zhi-Huan Zheng; Chong-Chao Jin; Xin Du; Si-Jie Shao; John H. Xin
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Paper Abstract

With the rapid development of multispectral imaging technique, it is desired that the spectral color can be accurately reproduced using desktop color printers. However, due to the specific spectral gamuts determined by printer inks, it is almost impossible to exactly replicate the reflectance spectra in other media. In addition, as ink densities can not be individually controlled, desktop printers can only be regarded as red-green-blue devices, making physical models unfeasible. We propose a locally adaptive method, which consists of both forward and inverse models, for desktop printer characterization. In the forward model, we establish the adaptive transform between control values and reflectance spectrum on individual cellular subsets by using weighted polynomial regression. In the inverse model, we first determine the candidate space of the control values based on global inverse regression and then compute the optimal control values by minimizing the color difference between the actual spectrum and the predicted spectrum via forward transform. Experimental results show that the proposed method can reproduce colors accurately for different media under multiple illuminants.

Paper Details

Date Published: 10 May 2013
PDF: 18 pages
J. Electron. Imaging. 22(2) 023012 doi: 10.1117/1.JEI.22.2.023012
Published in: Journal of Electronic Imaging Volume 22, Issue 2
Show Author Affiliations
Hui-Liang Shen, Zhejiang Univ. (China)
Zhi-Huan Zheng, Zhejiang Univ. (China)
Chong-Chao Jin, Zhejiang Univ. (China)
Xin Du, Zhejiang Univ. (China)
Si-Jie Shao, The Hong Kong Polytechnic Univ. (Hong Kong, China)
John H. Xin, The Hong Kong Polytechnic Univ. (Hong Kong, China)


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