**2. Related Work**

In recent years, deep learning and artificial intelligence have been widely used in various industries, especially in the field of computer vision, and have achieved better results than traditional methods [14,15]. Using the feed-forward depth network methods of CNN is the mainstream of the current super-resolution reconstruction field after sparse representation. Such methods focus less on the reconstruction speed and more on whether the high-resolution map can be better restored at a large magnification. They have better generalization ability and ability to characterize the high-level characteristics, compared with traditional shallow learning algorithms.
