Color Gamut Analysis and Color Fastness Evaluation for Textile Inkjet Printing Application on Polyester

Ding, Yi; Freeman, Harold S.; Parrillo‐Chapman, Lisa

doi:10.2352/j.imagingsci.technol.2017.61.5.050503

Cited by 7 publications

(4 citation statements)

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“…When comparing the results of this study with results from our previous work involving digital printing of disperse dyes on PET , it is clear that both types of colorant benefit from a fabric pretreatment step. In each case, pretreatment enhanced fibre receptiveness for the inks, leading to increased colour intensity and gamut.…”

Section: Resultsmentioning

confidence: 65%

Pretreatment effects on pigment‐based textile inkjet printing – colour gamut and crockfastness properties

Ding

Shamey

Chapman

et al. 2018

Coloration Technology

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The application of two commercial pretreatment agents, formulated to improve the performance of a sixcolour nano-scale pigment ink set during the textile inkjet printing of cotton and polyester (PET) fabrics, was examined. An industrial scale printer, operating at 55 linear m/h and equipped with Kyocera printheads, was used to print on commercial fabrics (180 cm wide) prepared for digital printing. The work employed an industrial scale rather than a benchtop printer to enhance the utility of the results for a commercial environment. The colorimetric attributes of printed fabrics were recorded for the individual inks as well as for spot colour combinations generated using Dr. Wirth RIPMaster v11 software. Colour table profiles were also generated and the colorimetric values of inks were compared. Colour gamuts of inks on cotton and PET, including three-dimensional volumes in the CIELab space, were examined to assess the role of pretreatment on the colorimetric properties of the printed substrates. It was found that the pretreatments enhanced the ink receptiveness, colour intensity and colour gamut of fabrics. Pretreatment of cotton resulted in a larger gamut and more vivid colours than on PET. However, wet and dry crockfastness results were found to be low. In this regard, Time-of-Flight Secondary Ion Mass Spectrometry analysis of fabrics printed in the presence and absence of pretreatment indicated that the low crockfastness arises from higher pigment levels on the surface of the pretreated fabric. Coloration Technology Society of Dyers and Colourists

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Section: Resultsmentioning

confidence: 65%

Pretreatment effects on pigment‐based textile inkjet printing – colour gamut and crockfastness properties

Ding

Shamey

Chapman

et al. 2018

Coloration Technology

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“…Image Sci. Technol ., Sep–Oct, 2017 . The feedback contributed to the PI's final colour gamut process model.…”

Section: Resultsmentioning

confidence: 99%

Developing the methodology of colour gamut analysis and print quality evaluation for textile ink‐jet printing: Delphi method

Ding

Parrillo‐Chapman

Freeman

2017

Coloration Technology

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This research used the Delphi method to investigate current colour gamut analysis methods, which is a critical component of colour management systems (CMS). Thirteen ink‐jet printing experts were interviewed to understand how they manage colour and their process for analysing and comparing colour gamut. A significant result of this study was the development of a four‐stage process model for colour gamut analysis and print quality evaluation for textile ink‐jet printing. The optimal process model was verified and approved by experts. This study uncovered an industry initiative toward the improvement of CMS for more accurate colour matching, a need to stabilise variables in the manufacturing process, and a need to standardise related tests and evaluations. The study also revealed new CMS software and technologies developed for ink formulation and pre‐/post‐treatment methods to facilitate high quality production in textile ink‐jet printing.

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“…In terms of the influencing factors of color presenting, Ding et al. 3–5 studied polyester fabrics and found that moderately reducing the maximum ink limit would not have a significant effect on the printing color depth, while increasing the basic colors of inks with the fabric being pretreated may significantly expand the color gamut. Research by Jiang et al.…”

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confidence: 99%

“…On the other hand, the traditional color management has been adjusted to be optimized. In terms of the influencing factors of color presenting, Ding et al [3][4][5] studied polyester fabrics and found that moderately reducing the maximum ink limit would not have a significant effect on the printing color depth, while increasing the basic colors of inks with the fabric being pretreated may significantly expand the color gamut. Research by Jiang et al 6 demonstrated that the same chromaticity could be obtained using varied dot area coverages on different substrates, and the printing color could be determined by the synergy of the ink diffusion on the surface of the substrate and the light reflection of the ink itself.…”

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confidence: 99%

Study of color reproduction in pigment digital printing

Zhang

Liu

et al. 2023

Textile Research Journal

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In pigment ink digital printing, the color difference between the original and the printed product can be visible due to the varied color gamut of devices and the impact of fabric characteristics on the color-presenting effect. To improve the color reproduction accuracy of digital printing, two methods, the full-process optimized (FPO) method and the neural network aided original adjustment (NNAOA) method, were proposed to reduce printing color difference during the color-transferring process. The FPO method, based on accounting for the fabric type and the characteristics of the printing machine, was proposed by optimizing the printing parameter settings in the color management process. Here, the optimal single-channel ink limit was determined and dot gain was compensated using the inverse function correction method, and then the International Color Consortium profile was generated. After using the FPO method, the color difference between the printed sample and the original was reduced from 20.8 to 5.254 compared with performing the original color management. To reduce the reliance on personal experience in color adjustment, the NNAOA method was proposed and implemented for 20 color patches with the largest color differences in the FPO method, allowing the color of the originals to be adjusted with the establishment of the general regression neural network model. This method predicted the input CMYK values of the original using measured L*a*b* values for the printed sample. The results showed that the color difference of the 20 color patches was reduced from 8.54 to 6.60. Consequently, both methods offered distinguishable improvements in the color reproduction effect.

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Color Gamut Analysis and Color Fastness Evaluation for Textile Inkjet Printing Application on Polyester

Cited by 7 publications

References 0 publications

Pretreatment effects on pigment‐based textile inkjet printing – colour gamut and crockfastness properties

Pretreatment effects on pigment‐based textile inkjet printing – colour gamut and crockfastness properties

Developing the methodology of colour gamut analysis and print quality evaluation for textile ink‐jet printing: Delphi method

Study of color reproduction in pigment digital printing

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