Dynamic Adjustment and CAD Real-time Rendering Algorithm for Advertising Art Design based on Machine Vision

Abstract

Advertising is no longer a singular means of disseminating product information but has developed into a culture and industry that encompasses marketing, media, and art. In advertising art design, machine vision technology can be used to analyze the visual habits and preferences of the audience, providing valuable feedback to designers and helping them create graphic elements that taste. Designers can efficiently use CAD software for graphic design and preview design effects through real-time rendering functionality. As a key component of advertising art design, graphics can intuitively and quickly convey the core information of advertising. The superiority of the algorithm proposed in this article in image rendering quality was verified through comparative experiments on image rendering performance. Compared with traditional gradient filtering algorithms and ant colony optimization (ACO) algorithms, our algorithm has significantly improved the PSNR value of rendering results, proving its higher accuracy and stability in image rendering. This algorithm can enhance the visual effect and attractiveness of advertisements, as well as their dissemination effect and commercial value.