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Study on the Spectral Characterization Model of Multi-Color Printer Based on LabPQR Dimension Reduction |
JIANG Zhong-min1, KONG Ling-jun2, NIE Peng1, YU Hai-qi1 |
1. College of Communication and Art Design, University of Shanghai for Science and Technology, Shanghai 200093, China
2. Shanghai Publishing and Printing College, Shanghai 200093, China |
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Abstract A spectral characterization model based on dimension reduction is proposed to guarantee the precision of color conversion of the multi-color printer and improve its operation efficiency. Color space division theory and LabPQR nonlinear dimensionality reduction method are adopted in the new model. Moreover, the forward model is created based on Lookup Table, and the backward model is created through cell search algorithm and inverse tetrahedral interpolation algorithm. Firstly, the high dimensional spectral reflectance is reduced to six dimensional space values (LabPQR). Then the cell space of the target color is searched using cell search algorithm. Finally, the LabPQR values of the target color are calculated with the inverse tetrahedral interpolation algorithm, and the output values of the multi-color printer channel signals are obtained. The experimental data of the tested color samples shows that the average color difference of the forward model and the backward model are 0.714 NBS and 1.016 NBS respectively, and the corresponding running time of the models are 2.03 and 9.05 s. New algorithm could realize the accurate inter-conversion between the spectral reflectance of a multi-color printer and its channel-signal values.
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Received: 2017-03-24
Accepted: 2017-08-11
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