基于深度学习网络的视频超分辨率恢复技术
Video Super-Resolution Restoration Technology Based on Deep Learning Network
杜晓炜 1孙俊琳 1郑东辉1
作者信息
摘要
近年来,人工智能发展迅速,超分辨率恢复也成为深度学习研究中的一个重要问题.视频超分辨率恢复是更复杂的超分辨率恢复,在图像超分辨率恢复的基础上,视频超分辨率恢复的计算量更大,技术也更复杂.基于此,文章分析了基于深度学习网络的视频超分辨率恢复技术.
Abstract
In recent years,artificial intelligence has developed rapidly,and super-resolution restoration has become an important issue in deep learning research.Video super-resolution restoration is a more complex super-resolution restoration.On the basis of image super-resolution restoration,video super-resolution restoration requires a larger computational load and more complex technology.Based on this,the article analyzes the video super-resolution restoration technology based on deep learning networks.
关键词
超分辨率恢复/深度学习/人工神经网络Key words
super-resolution restoration/deep learning/artificial neural network引用本文复制引用
出版年
2024
NETL
NSTL
万方数据