Construction of a Plane Visual Art Design System Based on Human Computer Interaction and Digital Image Processing Technology

This study proposes a graphic visual art design system based on human-computer interaction and digital image processing technology to address the problems of traditional graphic visual art design methods being time-consuming, prone to errors, and limiting creative freedom of expression. Firstly, we conducted a user needs analysis to understand the pain points and requirements that designers encounter in their daily work; Subsequently, the image processing algorithm based on Convolutional Neural Network (CNN) was optimized to improve the speed and quality of image processing; Then, an intuitive human-computer interaction interface was designed to simplify the operation process and provide real-time preview functionality; Finally, integrate each module into the system to ensure efficient collaboration of data and functionality. The experimental results show that compared with traditional tools, using this system to complete design tasks has shortened the average time by nearly 20 minutes, improved the design quality score by about 0.75 points, and significantly increased user satisfaction. These results indicate that the system proposed in this study has significant advantages in improving design efficiency and quality, effectively addressing the limitations of traditional methods and providing designers with more efficient and flexible design tools.