Design Applications of Jiangzhou Woodblock Prints based on Digital Visualization and Color Analysis.

Saved in:
Bibliographic Details
Title: Design Applications of Jiangzhou Woodblock Prints based on Digital Visualization and Color Analysis.
Authors: Wei, Bize1, Qiao, Yu1 qiaoyu@bit.edu.cn
Source: Journal of Imaging Science & Technology. Jan/Feb2026, Vol. 70 Issue 1, p1-14. 14p.
Subjects: Analysis of colors, Woodcutting (Printmaking), Decorative arts, Data visualization, Cultural property, K-means clustering, Palette (Color range)
Geographic Terms: Shanxi Sheng (China)
Abstract: This study investigated the color analysis of Jiangzhou woodblock prints from Shanxi Province and their application in digital visualization design. Jiangzhou woodblock prints, a gem of Chinese folk art, were known worldwide for their distinct engraving style and rich cultural heritage. The study examined the use of different colors in Jiangzhou woodblock prints as well as the underlying cultural symbolism behind them. High-resolution digital images were systematically collected from private collectors, digital archives, and intangible cultural heritage practitioners. To ensure precision, color data were extracted through a dual-model approach using both CIELAB and HSV color spaces. The K-means clustering analysis was employed to identify representative colors and quantify their distributions. A historical color palette was constructed by eliminating perceptually similar hues based on 1E thresholds, and a novel color matching system was developed according to the principles of color composition and color--emotion correlation theories. The study demonstrated the application of this system in contemporary digital pattern design, highlighting the importance of traditional color systems in cultural creative products. The results showed that the color system of Jiangzhou woodblock prints predominantly featured an organic combination of warm, neutral, and cold tones, with these hues embodying cultural values such as celebration, blessing, and warding off evil. The representative colors collected through clustering techniques revealed combinatorial relationships, which when applied to modern design enhanced visual aesthetics and emotional expressiveness. This research provided theoretical support and practical pathways for the preservation and innovative application of traditional artistic elements through digital design. Nonetheless, challenges remained, such as difficulties in color extraction due to print aging and pigment degradation. Future studies could solve these issues by expanding the sample database, including advanced image restoration technologies to improve the digital application of traditional color systems. This study provides significant color design references for the cultural and creative industries as well as a practical illustration of how digital technology may be used in innovative ways to conserve intangible cultural heritage. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Imaging Science & Technology is the property of International Society for Imaging Science & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Description
Abstract:This study investigated the color analysis of Jiangzhou woodblock prints from Shanxi Province and their application in digital visualization design. Jiangzhou woodblock prints, a gem of Chinese folk art, were known worldwide for their distinct engraving style and rich cultural heritage. The study examined the use of different colors in Jiangzhou woodblock prints as well as the underlying cultural symbolism behind them. High-resolution digital images were systematically collected from private collectors, digital archives, and intangible cultural heritage practitioners. To ensure precision, color data were extracted through a dual-model approach using both CIELAB and HSV color spaces. The K-means clustering analysis was employed to identify representative colors and quantify their distributions. A historical color palette was constructed by eliminating perceptually similar hues based on 1E thresholds, and a novel color matching system was developed according to the principles of color composition and color--emotion correlation theories. The study demonstrated the application of this system in contemporary digital pattern design, highlighting the importance of traditional color systems in cultural creative products. The results showed that the color system of Jiangzhou woodblock prints predominantly featured an organic combination of warm, neutral, and cold tones, with these hues embodying cultural values such as celebration, blessing, and warding off evil. The representative colors collected through clustering techniques revealed combinatorial relationships, which when applied to modern design enhanced visual aesthetics and emotional expressiveness. This research provided theoretical support and practical pathways for the preservation and innovative application of traditional artistic elements through digital design. Nonetheless, challenges remained, such as difficulties in color extraction due to print aging and pigment degradation. Future studies could solve these issues by expanding the sample database, including advanced image restoration technologies to improve the digital application of traditional color systems. This study provides significant color design references for the cultural and creative industries as well as a practical illustration of how digital technology may be used in innovative ways to conserve intangible cultural heritage. [ABSTRACT FROM AUTHOR]
ISSN:10623701
DOI:10.2352/J.ImagingSci.Technol.2026.70.1.010411