Research on Digital Restoration and Innovative Utilization of Taohuawu Woodblock New Year Prints Based on Edge Detection and Color Clustering
Source abstract
Abstract
Taohuawu woodblock New Year prints are one of the most representative traditional multicolor woodblock print forms from the Jiangnan region of China and are recognized as an Intangible Cultural Heritage at the provincial level in Jiangsu. However, the development of mechanized and high-tech production methods, combined with the declining role of traditional festive customs in modern society, has posed significant challenges to the preservation and transmission of this art form. Existing digital preservation efforts mainly focus on two-dimensional scanning and archival storage, largely neglecting the essential processes of color separation and multicolor overprinting. In this study, a digital restoration method is proposed that integrates image processing, color clustering, and edge detection techniques for the efficient reconstruction of the traditional multicolor woodblock overprinting process. The approach applies the K-means++ clustering algorithm to extract the dominant colors and reconstruct individual color layers, in combination with CIELAB color space transformation to enhance color difference perception and improve segmentation accuracy. To address the uncertainty in determining the number of color layers, the elbow method, silhouette coefficient, and Calinski-Harabasz index are employed as clustering evaluation methods to identify the optimal number of clusters. The proposed approach enables the generation of complete, standardized digital color separations, providing a practical pathway for efficient reproduction and intelligent application of TWNY Prints, contributing to the digital preservation and innovative revitalization of intangible cultural heritage.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Digital Media and Visual Art
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Art Design, Nanjing Forestry University, Nanjing 210037, China
College of Information Science and Technology & Artificial Intelligence, Nanjing Forestry University, Nanjing 210037, China
Funding
China National College Students’ Innovation and Entrepreneurship Training Program (2024)
References (43)
Show source-provided references
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