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Volume: 7 | Article ID: art00050
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Color Mix Prediction for Printed Textiles
Norman Stein
  DOI :  10.2352/CIC.1999.7.1.art00050  Published Online :  January 1999
Abstract

A model is introduced which can predict tone and mix colors in textile printing. The factors which make this a more difficult process than match prediction for the textile dyeing and paint industries are highlighted. The model is capable of handling prints made with both reactive dyes and pigment colors, and is extended to deal with paste white colors. The Kubelka-Munk equations are solved for negative absorption coefficient, in order to treat colors whose reflectance slightly exceeds that of the substrate.

Journal Title : Color and Imaging Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
Subject Areas :
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 DOI 10.2352/CIC.1999.7.1.art00050
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  Cite this article 

Norman Stein, "Color Mix Prediction for Printed Textiles"  in Proc. IS&T 7th Color and Imaging Conf.,  1999,  pp 264 - 268,  https://doi.org/10.2352/CIC.1999.7.1.art00050

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  Copyright statement 
Copyright © Society for Imaging Science and Technology 1999
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2166-9635(19990101)1999:1L.264;1-
cic_v1999n1/splitsection50.xml
/ist/cic/1999/00001999/00000001/art00050
Articles
Color Mix Prediction for Printed Textiles
SteinNorman
01011999
1999
1
264
268
1999
A model is introduced which can predict tone and mix colors in textile printing. The factors which make this a more difficult process than match prediction for the textile dyeing and paint industries are highlighted. The model is capable of handling prints made with both reactive dyes and pigment colors, and is extended to deal with paste white colors. The Kubelka-Munk equations are solved for negative absorption coefficient, in order to treat colors whose reflectance slightly exceeds that of the substrate.