Analysis of the expression and application of visual communication elements in art design based on big data

Abstract

Based on big data analysis, this paper clarifies the basic elements and other elements in visual communication through the expression of visual communication elements in art design and constructs the formation mechanism of visual art design and the characteristics of information cognition. Based on the image processing algorithm for image brightness equalization processing, the image fusion and wavelet noise reduction processing are combined with the pixel point quantization tracking method, and specific cases demonstrate the optimization effect and practicality. The results show that in the example solution, the visual communication index of each module is Z = 4289, while the optimized visual communication index Z&prime = 4834 is obtained after processing by the image-based processing algorithm, which improves the communication effect and quality of the art design. This paper proposes a new idea and method that provides inspiration and reference for art design practice and research.

Keywords

• visual communication
• art design
• information perception
• image processing algorithm
• wavelet noise reduction processing
• 00a66