Image Interpolation Utilizing Neighboring Pixels as References in Conjunction with Multilayer Perceptron Neural Networks
摘要
This study seeks to investigate the utilization of neural networks for the generation of high-quality image interpolation. This introduction endeavors to deliver a comprehensive exploration of the foundational principles underpinning interpolation, coupled with an investigation into the substantial potential presented by neural networks in this field. We introduce an image interpolation approach and substantiate its exceptional performance through empirical evidence. Additionally, we develop methodologies for evaluating experimental interpolation outcomes and explore potential applications in other domains.