A Study on the Application of Visual Perception in Art Design Based on Industrial Mathematics Models

Abstract

To study the beautification of art design and analyze the application of visual perception in art design, this paper proposes an image beautification processing technique based on multiple chromatic aberration compensation of illumination. The paper will then investigate the task of classifying styles, genres, and artists based on deep learning methods on fine art design images. The proposed method automatically classifies fine art design images with significant improvements in classification accuracy and efficiency. Experimental tests are conducted and the results show that the beautification of night images using this technique has good fine art presentation capabilities, improves the aesthetic and visual sensory expressive performance of the images, and has good fine art application value.