Edge Computing with Green Super-Resolution
Image Super-Resolution (SR) aims to recover high-fidelity details from low-resolution inputs. It is a task inherently challenging due to its ill-posed, one-to-many mapping nature. Although deep learning (DL) approaches have achieved state-of-the-art performance, they often incur high computational overhead and lack mat...