Graphic Style Transfer Technology in Multimedia Communication: An Application of Deep Residual Adaptive Networks in Graphic Design

Authors

  • Zhenyu Zhang Ph.D., City Graduate School, Faculty of Creative Industries (FCI), City University Malaysia, Kuala Lumpur, Malaysia; Lecturer, School of Fine Arts, Xinxiang University, Xinxiang, China
  • Fuyu Wei Teaching assistant, College of Materials Sciences and Engineering, Henan Institute of Technology, No.699, Plain Road, Hongqi District, Xinxiang City, China; Ph.D. Candidate, College of Computing, Informatics and Mathematics, Al-Khawarizmi Building, Universiti Teknologi MARA, 40450, Shah Alam Selangor Darul Ehsan, Malaysia
  • Guizhen Liang Professor, School of Mathematics and Statistics, Xinxiang University, Xinxiang, China
  • Xintong Wang Master, School of Mathematical Sciences, Henan University of Science and Technology, Xinxiang, China

DOI:

https://doi.org/10.17762/ijcnis.v16i1.6538

Keywords:

Multimedia Communication, Communication, Deep Learning, Art

Abstract

With the rapid development of wireless network technology and the rapid popularity of portable smart terminals, multimedia communication based on images and videos has become the favorite way of communication in the new era. Image style transfer technology is one of the research directions that has attracted much attention in the field of multimedia communication. To achieve the diversification of images and ease of use in the multimedia communication process, this paper researches the multimedia network communication technology and image style transfer technology. By combining visual style transfer technology and depth residual adaptive network technology in multimedia communication technology, the redesign and creation of graphics can be carried out effectively. The resulting graphics can meet the needs of the art creators and the technique provides higher creative efficiency, excellent peak model signal-to-noise ratio and structural similarity performance, and output levels that meet the basic needs compared to traditional manual design. The method can be effectively used in urban building appearance design and art creation and has good theoretical and practical research value.

Downloads

Published

2024-06-04

How to Cite

Zhang, Z., Wei, F., Liang, G. ., & Wang, X. (2024). Graphic Style Transfer Technology in Multimedia Communication: An Application of Deep Residual Adaptive Networks in Graphic Design. International Journal of Communication Networks and Information Security (IJCNIS), 16(1), 198–210. https://doi.org/10.17762/ijcnis.v16i1.6538

Issue

Section

Research Articles