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Patterning technique for expanding color variety of Jacquard fabrics in alignment with shaded weave structures

journal contribution
posted on 2017-09-26, 11:21 authored by Frankie Man Ching Ng, Ken Ri KimKen Ri Kim, Jinlian Hu, Jiu Zhou
This study aimed to enhance the capability of multiple weave color reproduction for Jacquard textiles. Today, the subtractive color mixing of CMYK color system is being widely used for rendering weave patterns and assorting filling yarn colors. However, as Jacquard color creation involves optical color mixing, the direct application of pigment mixing is limited to corresponding to an artwork that involves red, green, blue and saturated solid black. Since Jacquard colors are realized by opaque and non-blended material of yarns, it requires a different approach of light and pigment mixing to simulate colors of an original image in woven forms. Therefore, in this study, the optimization of weave color reproduction was approached to properly embrace the proposed color gamut of the CMYK model in digital Jacquard textiles. Based on the ink densities of the CMYK color scope, segmentation was applied in reflection of optical thread color mixing to attain optimal weave patterns. A pair of primary color layers was merged by defining a set of rules to classify individual primary and secondary color patterns to designate colored threads in associated regions, and weave structures were designed and aligned to generate varied levels of color shades in weaving form. The correlation between shaded weave structures and the primary color-based weave patterns were matched to present a faithful color reproduction in weaving.



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Textile Research Journal


NG, F. ... et al., 2014. Patterning technique for expanding color variety of Jacquard fabrics in alignment with shaded weave structures. Textile Research Journal, 84 (17), pp.1820-1828.


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This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

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This work was supported by the General Research Fund of the University Grants Council and The Hong Kong Polytechnic University.






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