Title: Visual communication method for multi feature media images based on interactive modelling

Authors: Ting Zhang; Shi-shun Wang; Xiang-yu Wei

Addresses: School of Design and Art, Shanghai Dianji University, Shanghai, 200240, China ' School of Visual Communication Design, Shandong University of Art and Design, Jinan, 250300, China ' School of Design and Art, Shanghai Dianji University, Shanghai, 200240, China

Abstract: In order to solve the problems of poor multi feature media image processing, low peak signal-to-noise ratio, and long visual communication processing time in traditional methods, a visual communication method for multi feature media images based on interactive modelling is proposed. hue-saturation-value (HSV) colour histogram, discrete Cosine transform (DCT) transform and generalised search tree (GIST) descriptor were used to extract colour, texture and scene content features of multi-feature media images, and the features were fused. The multi-feature media image is decomposed into semantically independent components, which are mapped to the surface of the 3D model, so as to realise the interactive modelling of the multi-feature media image. Combined with the modelling results, the image is enhanced and reconstructed to complete the visual transmission of the image. Experimental results show that the image detail features of the proposed method are significant, with high clarity. The average peak signal-to-noise ratio is 55.9 dB, and the processing time remains below 0.4 s.

Keywords: interactive modelling; multi feature media; visual communication; colour; texture; scene content; semantically independent components; enhanced.

DOI: 10.1504/IJCSM.2025.146080

International Journal of Computing Science and Mathematics, 2025 Vol.21 No.1, pp.14 - 31

Received: 29 Mar 2024
Accepted: 19 Oct 2024
Published online: 06 May 2025 *

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