Construction of Design Works Appreciation System Based on Machine Learning

Abstract

With the rapid development of the economy, the aspirations for spiritual fulfillment have transcended material demands, fostering a greater appreciation for artistic lifestyles. Artistic design works, embodying humanity’s interactions with nature and itself in daily life, interpret people’s comprehension and pursuit of beauty through diverse forms of expression. The precise restoration, preservation of artistic value, and conservation of these works are paramount for historical research, cultural transmission, and the perpetuation of artistic legacies. This paper proposes an image restoration algorithm for artistic design works utilizing machine learning, aiming to establish an appreciation system for such works. By leveraging advanced machine learning techniques, the system facilitates efficient restoration and digital appreciation of artistic design works, enhancing restoration quality and broadening artistic appreciation horizons. Through the implementation of this system, it is envisioned that artistic design works will be better preserved and transmitted, enabling individuals to appreciate the grandeur of art.

Keywords

• Works of artistic design
• machine learning
• image restoration