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
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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
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