Research on intelligent image processing and algorithm optimization technology for personalized art design

With the rapid development of information technology and the rapid progress of artificial intelligence technology, artificial intelligence, as a new type of artistic expression and technical means, attracts more and more researchers and artists to pay attention to and participate in. This paper proposes a set of solutions based on deep learning and algorithm optimization for the current problem of insufficiently deep combination of personalized expression needs and intelligent technology in art design. The specific needs of personalized art design for intelligent image processing are analyzed, and the limitations of the existing technology are summarized; image generation and style migration algorithms suitable for art design are studied and optimized, focusing on the enhancement strategies of computational efficiency, generation accuracy and artistic style expression; the effects and advantages of this paper's technological solutions in practical applications are demonstrated through experiments and case validation. The results of the study show that the optimized algorithm can be used to improve the computational efficiency, generation accuracy and artistic style expression. The research results show that the optimized algorithm can more efficiently meet the needs of personalized art design and provide more diverse technical support for artistic creation.