Optimization Research of Deep Learning Algorithms in Real-time Image Processing

This paper studies the optimization method of deep learning algorithm in real-time image processing, focusing on the optimization strategies of model compression, hardware acceleration and data processing. Through these technologies, the reasoning speed of the image processing system is significantly improved, while the high accuracy of the model is maintained. The research shows that these optimization strategies have wide application potential in resource-constrained environments, providing efficient solutions for practical applications.