Efficient Image Super-Resolution via Self-Calibrated Feature Fuse
Recently, many super-resolution reconstruction (SR) feedforward networks based on deep learning have been proposed.These networks enable the reconstructed images to achieve convincing results.However, due to a large amount of computation and parameters, SR technology is greatly limited in devices with limited computing power.To trade-off the networ