Resolution enhancement in terahertz imaging via deconvolution
文献类型：期刊论文
| 作者 | Ning W(宁威)5; Wang JK(汪晋宽)5; Wu HM(吴红明)5; Wang YL(汪业龙)1,2,3,4 ; Liu ZY(刘朝阳)1,2,3,4; Qi F(祁峰)1,2,3,4
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| 刊名 | IEEE Access
 |
| 出版日期 | 2019 |
| 卷号 | 7页码:65116-65121 |
| 关键词 | THz imaging deconvolution phase operation medical diagnosis |
| ISSN号 | 2169-3536 |
| 产权排序 | 2 |
| 英文摘要 | Nowadays, terahertz (THz) imaging is quite promising in scientific and biomedical applications. However, the much longer wavelength degrades the resolution of obtained images compared with classical imaging at optical frequencies. Imaging is considered to be a convolution process between the object function and point spread function (PSF) of the system. Thus, how to describe the object accurately from a blurred image is an inverse problem. In this paper, we demonstrate how well such a method can function. We would illustrate how to make current facilities overcome the physical limitations in imaging, which can image at the sub-spot level. Periodical stripes with a period of 0.8 mm are resolved at 0.3 THz. The resolution is 0.32 times the physical size of the focused beam. Moreover, this method is extended to the mathematical operations in a complex domain, which is distinct from previous image studies via visible/IR light. Physically, it means that we essentially deal with phase by making use of the wave nature of THz light. For the first time, it is demonstrated that the reconstructed phase can also describe the shape of the object by applying such an approach. In addition, we have successfully measured the diameter of human hair with a relative error of less than 10% at 3 THz. As an example, we did an experiment on tissues of colorectal cancer and a better image is obtained, which would be helpful for medical diagnosis. We believe that such an approach is able to improve imaging performance at THz frequencies and many applications will gain from it. |
| WOS关键词 | INSPECTION |
| 资助项目 | National Key Research and Development Program of China[2016YFC0102900] ; National Natural Science Foundation of China[61801467] ; National Natural Science Foundation of China[61804160] ; National Natural Science Foundation of China[61605235] ; National Natural Science Foundation of China[61505089] ; Youth Innovation Promotion Association CAS[2017246] ; CAS Hundred Talents Program |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000470032600001 |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Youth Innovation Promotion Association CAS ; CAS Hundred Talents Program |
| 源URL | [http://ir.sia.cn/handle/173321/24717]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 通讯作者 | Qi F(祁峰) |
| 作者单位 | 1.Key Lab of Image Understanding and Computer Vision, Shenyang 110016, China 2.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China 4.Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang 110016, China 5.School of Computer Science and Engineering, Northeastern University, Shenyang 110169, China |
| 推荐引用方式 GB/T 7714 | Ning W,Wang JK,Wu HM,et al. Resolution enhancement in terahertz imaging via deconvolution[J]. IEEE Access,2019,7:65116-65121. |
| APA | Ning W,Wang JK,Wu HM,Wang YL,Liu ZY,&Qi F.(2019).Resolution enhancement in terahertz imaging via deconvolution.IEEE Access,7,65116-65121. |
| MLA | Ning W,et al."Resolution enhancement in terahertz imaging via deconvolution".IEEE Access 7(2019):65116-65121. |
入库方式： OAI收割
来源：沈阳自动化研究所
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