Computer-Aided Traditional Art Design Based on Artificial Intelligence and Human-Computer Interaction

Abstract

Computer-aided art design has become a brand-new art design expression means with excellent development prospects, which provides a brand-new art expression form for designers and brings profound changes in art design aesthetics and art design thinking. With the help of modern artificial intelligence (AI), the quality and efficiency of modern art computer-aided design (CAD) can be greatly improved, which is the main realistic form and important development direction of modern art design. In order to realize the innovation of traditional art design methods and improve the application of CAD technology in art design, this article puts forward an art image enhancement algorithm based on deep belief network (DBN), and extends the design optimization-driven deep learning (DL) framework with task-specific algorithm to enhance the interactive experience in art design process. The results show that this method can well preserve the local structural information in the image. Contrast and stereoscopic enhancement; It embodies the characteristics of optimal scale selection. The effectiveness and outstanding performance of the proposed art image enhancement algorithm are verified by experiments.