Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

November 18, 2024


Pages


DOI

Article

Information communication and aesthetic value of data visualization in the field of art and design

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Authors

Yuguang Xie Affiliation:
Art and Design College, Xingtai University, Xingtai, Hebei, 054001, China.
, Huijing Wang Affiliation:
Art and Design College, Xingtai University, Xingtai, Hebei, 054001, China.
and Jin Li Affiliation:
Art and Design College, Xingtai University, Xingtai, Hebei, 054001, China.


Abstract

Data visualization has become a popular discipline in today’s society, and understanding this trend has become a hot topic in the field of design. This paper introduces the visual perception system of the human eye, combining graphic features and dynamic features to reveal the visualization mechanism of information dynamic conveying in the field of art design. Then, the quantitative model of visual communication in color and graphic texture in art design, respectively, and the art design image containing rich plants are taken as an example to realize the visual analysis of information communication in the field of art design. There is a significant negative correlation (p > 0.05) between the purity of the foreground image, the foreground image color gamut area, and the proportion of foreground image color matching. This means that the higher the purity of the foreground image, the smaller the color matching area, leading to more coordinated color matching and a higher aesthetic degree. Simultaneously, the alteration in the gray value of the image texture typically exhibits characteristics such as high frequency, small amplitude, and randomness. The use of visualization technology in art design, reasonable collocation of colors, and graphic aesthetics fully demonstrate its aesthetic value.


Keywords

Data visualization, Human eye visual perception system, Color characteristics, Information communication, Art design, 94A16


Citation

Xie, Y., Wang, H., & Li, J. (2024). Information communication and aesthetic value of data visualization in the field of art and design. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-3339

Published by: Engineering Journals

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