A Review of Deep Learning Based Image Super-resolution Techniques
It provides a comprehensive overview for researchers and practitioners interested in image super-resolution, but it is incremental as it is a review paper.
This paper reviews the research progress of deep learning-based image super-resolution techniques, summarizing application results and reporting the latest advancements in the field.
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.