论文标题
基于深度学习的图像超分辨率技术的评论
A Review of Deep Learning Based Image Super-resolution Techniques
论文作者
论文摘要
图像超分辨率技术是从一个或多个低分辨率图像中获得高分辨率图像的过程。随着深度学习的发展，基于深度学习方法的图像超分辨率技术正在出现。本文回顾了深度学习方法在图像超分辨率领域中应用的研究进度，从几个方面介绍了这种超分辨率的工作，并期待在图像超分辨率领域中进一步应用深度学习方法。通过收集和计算有关深度学习在图像超分辨率领域的应用的相关文献，我们初步总结了深度学习方法在图像超级分辨率领域的应用结果，并报告了基于深度学习方法的图像超分辨率技术的最新进展。
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.
