With the rapid development of cross-border e-commerce, product display and user experience have become key factors in determining the competitiveness of the platform. Intelligent image processing technology plays a crucial role in cross-border e-commerce, which significantly improves the user shopping experience by optimizing the quality of product images, improving the efficiency of user search, and enhancing personalized recommendations. This paper systematically analyzes the application scenarios of intelligent image processing technology in cross-border e-commerce, discusses the specific applications of automated image processing, image optimization and enhancement, personalized recommendation, etc. Combined with the special challenges of cross-cultural image processing, the paper proposes a multi-dimensional technical optimization strategy of algorithm optimization, dataset optimization, as well as system integration and co-optimization. In addition, this paper also looks forward to the future development direction of intelligent image processing technology in cross-border e-commerce, pointing out the potential applications of emerging technologies and the importance of privacy and data security. Through the comprehensive analysis of intelligent image processing technology and optimization suggestions, this paper provides valuable references for the technological development in the field of cross-border e-commerce.