Article: Developing a digital archive system for imperial Chinese robe in the Qing Dynasty.
2022 Volume 16, Page(s) 971169
Abstract: ... to achieve accurate color reproduction. Taking the Imperial Chinese robes in the Qing Dynasty as an example ...
Abstract | 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* |
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Language | English |
Publishing date | 2022-07-28 |
Publishing country | Switzerland |
Document type | Journal Article |
ZDB-ID | 2411902-7 |
ISSN | 1662-453X ; 1662-4548 |
ISSN (online) | 1662-453X |
ISSN | 1662-4548 |
DOI | 10.3389/fnins.2022.971169 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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