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Volume: 6 | Article ID: art00030
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Investigating the Possibility of Using Fewer Training Samples – In the Color Prediction Model based on CIEXYZ using an Effective Coverage Map
  DOI :  10.2352/CGIV.2012.6.1.art00030  Published OnlineJanuary 2012
Abstract

The goal of the present work is to reduce the number of the training samples used in our color prediction model based on CIEXYZ using an Effective Coverage Map while keeping satisfying prediction. A general approach is proposed in this paper to choose the best reference combination for the training samples. The approach is based on the dot gain behavior of each primary ink, which is characterized by three curves using CIEXYZ tri-stimulus values. The proposed approach is built in our model to predict the color values for the color prints using two different devices, i.e. a laser printer and an inkjet printer. For the laser printer the number of the training samples is reduced from 125 to 64 while still giving quite good result. The approach also shows that for the test laser printer it is possible to further cut this number to 53 with a satisfying result. For the inkjet printer the number of training samples for our model is reduced from 125 to 79 or 64, both giving satisfying results.

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Yuanyuan Qu, Sasan Gooran, "Investigating the Possibility of Using Fewer Training Samples – In the Color Prediction Model based on CIEXYZ using an Effective Coverage Mapin Proc. IS&T CGIV 2012 6th European Conf. on Colour in Graphics, Imaging, and Vision,  2012,  pp 163 - 168,  https://doi.org/10.2352/CGIV.2012.6.1.art00030

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Copyright © Society for Imaging Science and Technology 2012
72010351
Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
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