Title: Artificial intelligence-based visual communication approach for intelligent graphic design

Authors: Beiyi Liu

Addresses: Minnan Normal University, No. 36, Xianqianzhi Street, Xiangcheng District, Zhangzhou City, Fujian Province, China

Abstract: By leveraging AI technology, the optimisation of image colour features can be significantly enhanced to further improve the visual impact of graphic design images. Through the incorporation of advanced algorithms, we introduce a cutting-edge graphic design method rooted in visual communication technology. Utilising AI-powered algorithms, we meticulously extract the pixel intensity and luminance components of the graphic design image through this visual communication method. These extracted features allow for precise adjustments to the image's global brightness using multi-scale retinex techniques, thereby enhancing local contrast. Additionally, the colour of the enhanced image is restored and corrected to achieve an optimised visual effect, ensuring that the final output is both aesthetically pleasing and technically refined. Simulation results demonstrate that the local area colour information and contrast of the graphic design image are significantly improved, leading to a more engaging and visually appealing outcome. Furthermore, the AI-powered method exhibits excellent noise suppression capabilities, enhancing the user's willingness to engage with and browse the graphic design image. This integration of AI technology promises to revolutionise the field of graphic design, delivering more impactful and engaging visual experiences.

Keywords: artificial intelligence; visual communication; intelligent graphic design; multi-scale retinex.

DOI: 10.1504/IJIIDS.2026.155296

International Journal of Intelligent Information and Database Systems, 2026 Vol.18 No.3/4, pp.330 - 340

Received: 22 May 2024
Accepted: 10 Dec 2024
Published online: 30 Jul 2026 *

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