Image Super-Resolution with Deep Convolutional Neural Network
Xiancai Ji, Yao Lu, Li Guo · 2016
We present a computational model for image super-resolution. Apart from using deep Convolutional Neural Network to map between the low-resolution images and high-resolution images, we adopt stepwise refinement method to improve the reconstruction results and introduce the back projection algorithm to avoid diffusion of error pixels.