中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Fiber bundle imaging resolution enhancement using deep learning

文献类型:期刊论文

作者Liang, Rongguang4; Barnard, Kobus1,3; Shao, Jianbo3,4; Zhang JC(张俊超)2,4
刊名OPTICS EXPRESS
出版日期2019
卷号27期号:11页码:15880-15890
ISSN号1094-4087
产权排序2
英文摘要We propose a deep learning based method to estimate high-resolution images from multiple fiber bundle images. Our approach first aligns raw fiber bundle image sequences with a motion estimation neural network and then applies a 3D convolution neural network to learn a mapping from aligned fiber bundle image sequences to their ground truth images. Evaluations on lens tissue samples and a 1951 USAF resolution target suggest that our proposed method can significantly improve spatial resolution for fiber bundle imaging systems. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
WOS关键词QUALITY ASSESSMENT
资助项目National Institute of Biomedical Imaging and Bioengineering (NIBIB)[R21EB022378]
WOS研究方向Optics
语种英语
WOS记录号WOS:000469227200066
资助机构National Institute of Biomedical Imaging and Bioengineering (NIBIB)
源URL[http://ir.sia.cn/handle/173321/24726]  
专题沈阳自动化研究所_光电信息技术研究室
通讯作者Liang, Rongguang
作者单位1.Department of Computer Science, University of Arizona, Tucson, AZ 85721, United States
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning Province 110016, China
3.Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, United States
4.College of Optical Sciences, University of Arizona, Tucson, AZ 85721, United States
推荐引用方式
GB/T 7714
Liang, Rongguang,Barnard, Kobus,Shao, Jianbo,et al. Fiber bundle imaging resolution enhancement using deep learning[J]. OPTICS EXPRESS,2019,27(11):15880-15890.
APA Liang, Rongguang,Barnard, Kobus,Shao, Jianbo,&Zhang JC.(2019).Fiber bundle imaging resolution enhancement using deep learning.OPTICS EXPRESS,27(11),15880-15890.
MLA Liang, Rongguang,et al."Fiber bundle imaging resolution enhancement using deep learning".OPTICS EXPRESS 27.11(2019):15880-15890.

入库方式: OAI收割

来源:沈阳自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。