  Image super-resolution technology is the process of obtaining high-resolution
images from one or more low-resolution images. With the development of deep
learning, image super-resolution technology based on deep learning method is
emerging. This paper reviews the research progress of the application of depth
learning method in the field of image super-resolution, introduces this kind of
super-resolution work from several aspects, and looks forward to the further
application of depth learning method in the field of image super-resolution. By
collecting and counting the relevant literature on the application of depth
learning in the field of image super-resolution, we preliminarily summarizes
the application results of depth learning method in the field of image
super-resolution, and reports the latest progress of image super-resolution
technology based on depth learning method.
