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Proceedings of the International Conference on Art Design and Digital Technology, ADDT 2022, 16-18 September 2022, Nanjing, China

Research Article

The application of computer image processing technologies in fashion brands’ print advertising graphic design

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  • @INPROCEEDINGS{10.4108/eai.16-9-2022.2324918,
        author={Yuemei  Wang},
        title={The application of computer image processing technologies in fashion brands’ print advertising graphic design},
        proceedings={Proceedings of the International Conference on Art Design and Digital Technology, ADDT 2022, 16-18 September 2022, Nanjing, China},
        publisher={EAI},
        proceedings_a={ADDT},
        year={2022},
        month={12},
        keywords={computer technologies image processing fashion brand print advertising},
        doi={10.4108/eai.16-9-2022.2324918}
    }
    
  • Yuemei Wang
    Year: 2022
    The application of computer image processing technologies in fashion brands’ print advertising graphic design
    ADDT
    EAI
    DOI: 10.4108/eai.16-9-2022.2324918
Yuemei Wang1,*
  • 1: Jinan University
*Contact email: sa_wangym@ujn.edu.cn

Abstract

With the advent of the informational age, computer technologies have been applied to all professional areas of society and have significantly impacted people’s daily lives. In the arena of print advertising graphic design, momentous breakthroughs have been made in computer image processing technologies. This essay will analyze the current situation of fashion brands’ print advertising graphic design, summarize the common principles and applications of computer image processing technologies in fashion brands’ print advertis-ing graphic design, using Photoshop software as an example, aiming to utilize image processing technology to increase fashion brands’ advertising creativity and provide new per-spectives for the development of fashion brands’ advertising graphic design.

Keywords
computer technologies image processing fashion brand print advertising
Published
2022-12-02
Publisher
EAI
http://dx.doi.org/10.4108/eai.16-9-2022.2324918
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