异质织物多色半色调网印色调曲线补偿

IF 0.6 4区 计算机科学 Q4 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Journal of Imaging Science and Technology Pub Date : 2020-09-01 DOI:10.2352/j.imagingsci.technol.2020.64.5.050406
Chao-Lung Yang, Chih-Hao Chien, Yen-Ping Lin, Chi‐Hsun Chien
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引用次数: 1

摘要

对于大批量生产的纺织品,当需要鲜艳的色彩层次和数字印刷的成本是一个问题时,多色半调丝网印刷(MCHSP)可以被认为是一种替代的纺织品印刷技术。本质上,MCHSP利用与传统丝网印刷相同的设备,通过对分色和校准进行专门的处理,在半色调模式下印刷重叠的多色渐变。为了保证色彩质量,需要设备校准和色调曲线补偿,以补偿设备设置和异质织物引起的变量。在本研究中,作者提出了一种音调曲线补偿方法来消除异质织物的差异。基于44种不同织物的55个样品的实验结果表明了补偿的有效性,并揭示了平均补偿百分比在织物之间的分布。
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Tone Curve Compensation of Multiple Color Halftoning Screen Printing for Heterogeneous Fabrics
Abstract For mass production, multiple color halftoning screen printing (MCHSP) can be considered as the alternative textile printing technology when vivid color gradation is needed and the cost of digital printing is a concern. Essentially, MCHSP utilizes the same equipment as traditional screen printing to print overlapping multiple color gradation under halftoning patterns by applying dedicated treatments on color separation and calibration. To ensure color quality, equipment calibration and tone curve compensation are required to compensate for the variables arising from equipment setup and heterogeneous fabrics. In this research, the authors present a procedure of tone curve compensation to eliminate the discrepancy from heterogeneous fabrics. The experimental results based on 55 samples of 44 different fabrics show the effectiveness of compensation and reveal the distribution of average compensation percentage across fabrics.
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来源期刊
Journal of Imaging Science and Technology
Journal of Imaging Science and Technology 工程技术-成像科学与照相技术
CiteScore
2.00
自引率
10.00%
发文量
45
审稿时长
>12 weeks
期刊介绍: Typical issues include research papers and/or comprehensive reviews from a variety of topical areas. In the spirit of fostering constructive scientific dialog, the Journal accepts Letters to the Editor commenting on previously published articles. Periodically the Journal features a Special Section containing a group of related— usually invited—papers introduced by a Guest Editor. Imaging research topics that have coverage in JIST include: Digital fabrication and biofabrication; Digital printing technologies; 3D imaging: capture, display, and print; Augmented and virtual reality systems; Mobile imaging; Computational and digital photography; Machine vision and learning; Data visualization and analysis; Image and video quality evaluation; Color image science; Image archiving, permanence, and security; Imaging applications including astronomy, medicine, sports, and autonomous vehicles.
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