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Investigating the possibility of using fewer training samples

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Titel Investigating the possibility of using fewer training samples
Untertitel In the color prediction model based on CIEXYZ using an effective coverage map
Serientitel The Sixth European Conference on Colour in Graphics, Imaging, and Vision (CGIV 2012)
Teil 16
Anzahl der Teile 31
Autor Qu, Yuanyuan
Gooran, Sasan
Lizenz CC-Namensnennung - keine Bearbeitung 2.0 UK: England & Wales:
Sie dürfen das Werk in unveränderter Form zu jedem legalen Zweck nutzen, vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
DOI 10.5446/31456
Herausgeber River Valley TV
Erscheinungsjahr 2012
Sprache Englisch

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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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