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Journal of Graphics ›› 2024, Vol. 45 ›› Issue (1): 126-138.DOI: 10.11996/JG.j.2095-302X.2024010126

• Image Processing and Computer Vision • Previous Articles     Next Articles

Research on stylization method of copper chiseling paper-cutting

ZHOU Leijing(), ZHANG Yuxin, LEI Rui, SHEN Aoyi   

  1. School of Software Technology, Zhejiang University, Hangzhou Zhejiang 310058, China
  • Received:2023-06-29 Accepted:2023-10-30 Online:2024-02-29 Published:2024-02-29
  • About author:

    ZHOU Leijing (1987-), associate researcher, Ph.D. Her main research interests cover digital art and artificial intelligence. E-mail:leijing@zju.edu.cn

  • Supported by:
    The Ministry of Education's Industry School Cooperation Collaborative Education Project(220604497242722)

Abstract:

Copper chiseling paper-cutting is a traditional art form that involves chiseling copper foil and coloring it with mineral pigments, resulting in dazzling final products. The production process of copper chiseling paper-cutting art is complex and time-consuming, requiring a high level of technical proficiency from craftspeople. A method for stylizing copper chiseling paper-cutting was proposed, along with the design and implementation of a computer-assisted design tool for this art. This tool generated image outlines, chiseled point maps, and effect images of copper chiseling paper-cutting, aiding artisans in quickly completing the creation and production of this art. The input image was segmented to extract its lines, thus generating image outlines. A color loss function was defined to obtain the optimal color mapping scheme using a combination of a greedy algorithm and gradient descent method. Style transfer of the image lines was performed using the VGG-19 network to generate chiseled point maps. The line-style-transferred image was merged with the color-transferred image to generate the copper chiseling paper-cutting effect image. The design tool for the copper chiseling paper-cutting art was developed based on the PyQt5 framework, which provided an interactive platform. Experimental results demonstrated that the proposed method can quickly stylize images in the copper chiseling paper-cutting style, closely resembling the actual art form. It facilitated craftspeople in rapidly generating relevant materials such as image outlines, chiseled point maps, and effect images for the production process, thereby enhancing the efficiency of producing copper chiseling paper-cutting art and offering significant practical value.

Key words: copper chiseling paper-cutting, style transfer, computer aided design tools, convolutional neural network, color migration

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