An efficient multi-scaled super resolution framework for image enhancement

In recent years, the super-resolution (SR) technique achieved impressive results by using a deep convolutional neural network (CNN). Generally, deep CNNs networks can extract better feature maps and reconstruct high-resolution (HR) images. However, a wider and deeper network increases complexity and computation time for any real-time applications. It is essential to develop a lightweight network f...