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International Journal of Big Data Intelligent Technology, 2023, 4(1); doi: 10.38007/IJBDIT.2023.040101.

Chinese Calligraphy and Painting Electronic Creation Software based on Computer Aided Technology


Yukan Li

Corresponding Author:
Yukan Li

Shanxi Polytechnic College, Shanxi, China

Philippine Christian University, Manila, Philippine


Since the emergence of computer-aided technology, countless talented artists have been trying to use computer technology as a tool for artistic creation. But early computers were expensive and had a small amount of computation. Therefore, in that era, it was very difficult to apply computers to artistic creation. With the rapid development of computer hardware technology, even an ordinary computer has far more computing power than previous large-scale computers. This creates a lot of technical possibilities for artists to realize their dream of artistic creation through computers. Although China has a long history and splendid Chinese culture and art, and the unique charm of Chinese calligraphy has been recognized by the world with the unremitting efforts of predecessors, the research of Chinese computer art is very limited in the field of computer science. In addition, the current research on computer art in the form of western art cannot well solve many problems encountered by traditional Chinese calligraphy and art in the process of digitalization and informatization, and can provide technical support for it. On the basis of computer aided technology, this paper establishes a virtual interactive computer simulation model framework for the electronic creation of Chinese calligraphy and painting. The experimental results show that by using the interactive virtual brush model, Chinese calligraphy and painting with strong artistic expression can be produced.


Chinese Painting and Calligraphy, Computer-Aided Technology, Electronic Creation

Cite This Paper

Yukan Li. Chinese Calligraphy and Painting Electronic Creation Software based on Computer Aided Technology. International Journal of Big Data Intelligent Technology (2023), Vol. 4, Issue 1: 1-9. https://doi.org/10.38007/IJBDIT.2023.040101.


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