Research on Key Technologies and Eco-Innovation Strategies for Digital Transformation of Art Industry

Abstract

Abstract The development of digital technology has brought unprecedented opportunities and challenges for the art industry, and seeking transformation and upgrading has become the preferred choice for the development of the art industry in the wave of digitalization that keeps rushing forward. This paper constructs an art design system using image processing technology to provide strong technical support for the core design of the art industry. The method of sparse feature expression and visual communication is used to extract the edge features of artworks, and the chunked feature matching technology is used for spatial sampling of artworks to realize the three-dimensional display of artworks based on virtual reality technology. The application effect of the image processing algorithm used in the art design system of this paper is significantly better than that of the original processing technology and digital signal-based processing technology. At the same time, the feature extraction and matching algorithms in the three-dimensional display of this paper are also significantly better than other algorithms, and the matching and fusion of artworks can realize the effect of high similarity with the original works. Based on the Kano model of display demand research, this paper finally calculated that the SI value is located between 0.1943~0.8120, the DSI value is located between -0.7053~-0.1004, and according to the calculation of the various demand items affecting user satisfaction, which provides a directional guideline for the upgrading and transformation of the display of works of art and the art industry.