Optimization and Practice of RED Network in Image Super Resolution Tasks

Abstract

This study focuses on image super-resolution (ISR) technology, particularly exploring the application and optimization of RED networks in ISR tasks. Firstly, a RED network-based image super-resolution system was designed and implemented, verifying the effectiveness and reliability of the RED network in ISR tasks. Secondly, by adjusting the network structure and parameter configuration, the impact of different settings on model performance was analyzed in depth. The experimental results show that the RED network performs well in image super-resolution tasks, and appropriate parameter adjustments can significantly improve network performance. Finally, this study also discussed the optimization direction of RED network, providing reference for future research.