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Developing a digital archive system for imperial Chinese robe in the Qing Dynasty

The digital archive of cultural heritage provides new opportunities for the protection of the cultural heritage and the development of online museums. One of the essential requirements for the digitization is to achieve accurate color reproduction. Taking the Imperial Chinese robes in the Qing Dynas...

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Autores principales: Su, Miao, Li, Saiquan, Lu, Yan, Yang, Limei, Duan, Yiting, Xiao, Kaida, Pointer, Michael, Luo, Ming Ronnier, Liu, Xiaoxuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366076/
https://www.ncbi.nlm.nih.gov/pubmed/35968383
http://dx.doi.org/10.3389/fnins.2022.971169
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author Su, Miao
Li, Saiquan
Lu, Yan
Yang, Limei
Duan, Yiting
Xiao, Kaida
Pointer, Michael
Luo, Ming Ronnier
Liu, Xiaoxuan
author_facet Su, Miao
Li, Saiquan
Lu, Yan
Yang, Limei
Duan, Yiting
Xiao, Kaida
Pointer, Michael
Luo, Ming Ronnier
Liu, Xiaoxuan
author_sort Su, Miao
collection PubMed
description The digital archive of cultural heritage provides new opportunities for the protection of the cultural heritage and the development of online museums. One of the essential requirements for the digitization is to achieve accurate color reproduction. Taking the Imperial Chinese robes in the Qing Dynasty as an example, this study aims to develop a digital achieve system to digitize the robes using a high-end imaging system and accurately reproduce their color properties on a display. Currently, there has been very limited study focused on the color reproduction of silk fabrics or other textile materials. The conventional color management process using a traditional color chart, however, may not be suitable for the reproduction of silk fabrics because they have very high gloss. To address this difficulty, a unique “Qianlong Palette” color chart, consisting of 210 silk fabric samples, has been specifically produced for optimizing the color reproduction of silk fabrics and a color image reproduction system has been developed for the digitization and archiving of the clothing fabric for the royal court. Color characterization models using both the “Qianlong Palette” color chart and the traditional color chart, and different mapping methods, are compared and the model with highest accuracy used in a self-programmed interface for automatically processing textile images in the future. Finally, the digital archive system has been validated using six garments of silk fabric relics. The color differences after the color image reproduction are all less than 3.00ΔE*(ab), indicating acceptable color reproduction of the system. The images after color reproduction have also been evaluated subjectively by experts from the museum and the results are considered satisfactory. Our results show that the newly designed “Qianlong Palette” color chart exhibits superior performance over the conventional color chart in effectively predicting the color of the silk fabrics. The self-programmed graphical user interface for image color management can serve as a powerful tool to truly reproduce the color of various silk fabric relics in museums in the future and digitally archive those valuable cultural relics for different uses.
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spelling pubmed-93660762022-08-12 Developing a digital archive system for imperial Chinese robe in the Qing Dynasty Su, Miao Li, Saiquan Lu, Yan Yang, Limei Duan, Yiting Xiao, Kaida Pointer, Michael Luo, Ming Ronnier Liu, Xiaoxuan Front Neurosci Neuroscience The digital archive of cultural heritage provides new opportunities for the protection of the cultural heritage and the development of online museums. One of the essential requirements for the digitization is to achieve accurate color reproduction. Taking the Imperial Chinese robes in the Qing Dynasty as an example, this study aims to develop a digital achieve system to digitize the robes using a high-end imaging system and accurately reproduce their color properties on a display. Currently, there has been very limited study focused on the color reproduction of silk fabrics or other textile materials. The conventional color management process using a traditional color chart, however, may not be suitable for the reproduction of silk fabrics because they have very high gloss. To address this difficulty, a unique “Qianlong Palette” color chart, consisting of 210 silk fabric samples, has been specifically produced for optimizing the color reproduction of silk fabrics and a color image reproduction system has been developed for the digitization and archiving of the clothing fabric for the royal court. Color characterization models using both the “Qianlong Palette” color chart and the traditional color chart, and different mapping methods, are compared and the model with highest accuracy used in a self-programmed interface for automatically processing textile images in the future. Finally, the digital archive system has been validated using six garments of silk fabric relics. The color differences after the color image reproduction are all less than 3.00ΔE*(ab), indicating acceptable color reproduction of the system. The images after color reproduction have also been evaluated subjectively by experts from the museum and the results are considered satisfactory. Our results show that the newly designed “Qianlong Palette” color chart exhibits superior performance over the conventional color chart in effectively predicting the color of the silk fabrics. The self-programmed graphical user interface for image color management can serve as a powerful tool to truly reproduce the color of various silk fabric relics in museums in the future and digitally archive those valuable cultural relics for different uses. Frontiers Media S.A. 2022-07-28 /pmc/articles/PMC9366076/ /pubmed/35968383 http://dx.doi.org/10.3389/fnins.2022.971169 Text en Copyright © 2022 Su, Li, Lu, Yang, Duan, Xiao, Pointer, Luo and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Su, Miao
Li, Saiquan
Lu, Yan
Yang, Limei
Duan, Yiting
Xiao, Kaida
Pointer, Michael
Luo, Ming Ronnier
Liu, Xiaoxuan
Developing a digital archive system for imperial Chinese robe in the Qing Dynasty
title Developing a digital archive system for imperial Chinese robe in the Qing Dynasty
title_full Developing a digital archive system for imperial Chinese robe in the Qing Dynasty
title_fullStr Developing a digital archive system for imperial Chinese robe in the Qing Dynasty
title_full_unstemmed Developing a digital archive system for imperial Chinese robe in the Qing Dynasty
title_short Developing a digital archive system for imperial Chinese robe in the Qing Dynasty
title_sort developing a digital archive system for imperial chinese robe in the qing dynasty
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366076/
https://www.ncbi.nlm.nih.gov/pubmed/35968383
http://dx.doi.org/10.3389/fnins.2022.971169
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