基于深度学习的图像超分辨率复原研究进展
Review on Deep Learning Based Image Super-resolution Restoration Algorithms
摘要
Abstract
Super resolution image restoration technology is a hot field of image processing in the field of video surveillance, image processing, forensic analysis, with a wide range of application requirements. In recent years, the rapid development of deep learning in the field of multimedia processing, deep learning based super-resolution images restoration has gradually become a mainstream technology. This paper reviews the existing deep learning based image super-resolution restoration work. In terms of network type, network structure, and training methods, the advantages and disadvantages of the prior art are analyzed and the development contexts are sorted out. On this basis, the paper further points out the future direction of the restoration technique based on deep learning of the super-resolution image.关键词
超分辨率复原/深度神经网络/卷积神经网络/循环神经网络Key words
Super resolution restoration (SR)/deep neural networks/convolutional neural network (CNN)/recurrent neural network引用本文复制引用
孙旭,李晓光,李嘉锋,卓力..基于深度学习的图像超分辨率复原研究进展[J].自动化学报,2017,43(5):697-709,13.基金项目
国家自然科学基金(61471013, 61370189, 61372149, 61531006),北京市自然科学金(4142009, 4163071), 北京市属高等学校高层次人才引进与培养计划(CIT&TCD201404043, CIT&TCD20150311), 北京市教育委员会科技发展计划(KM201510005004, KM201410005002), 北京市属高等学校人才强教计划(PHR(IHLB)) 资助Supported by National Natural Science Foundation of China(61471013, 61370189, 61372149, 61531006), the Beijing Natural Science Foundation(4142009, 4163071), the Importation and Development of High-Caliber Talents Project of Beijing Munic-ipal Institutions(CIT&TCD201404043, CIT&TCD20150311), the Science and Technology Development Program of Beijing Ed-ucation Committee(KM201510005004, KM201410005002), and Funding Project for Academic Human Resources Development in Institutions of Higher Learning under the Jurisdiction of Bei-jing Municipality(PHR(IHLB)) （61471013, 61370189, 61372149, 61531006）
