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Resolution enhancement in terahertz imaging via deconvolution
Ning W(宁威)1; Qi F(祁峰)2,3,4,5; Liu ZY(刘朝阳)2,3,4,5; Wang YL(汪业龙)2,3,4,5; Wu HM(吴红明)1; Wang JK(汪晋宽)1
Department光电信息技术研究室
Source PublicationIEEE Access
ISSN2169-3536
2019
Volume7Pages:65116-65121
Indexed BySCI ; EI
EI Accession number20192307011355
WOS IDWOS:000470032600001
Contribution Rank2
Funding OrganizationNational Key Research and Development Program of China ; National Natural Science Foundation of China ; Youth Innovation Promotion Association CAS ; CAS Hundred Talents Program
KeywordTHz imaging deconvolution phase operation medical diagnosis
AbstractNowadays, 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.
Language英语
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS KeywordINSPECTION
WOS Research AreaComputer Science ; Engineering ; Telecommunications
Funding ProjectCAS Hundred Talents Program ; Youth Innovation Promotion Association CAS[2017246] ; National Natural Science Foundation of China[61505089] ; National Natural Science Foundation of China[61605235] ; National Natural Science Foundation of China[61804160] ; National Natural Science Foundation of China[61801467] ; National Key Research and Development Program of China[2016YFC0102900] ; 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
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/24717
Collection光电信息技术研究室
Corresponding AuthorQi F(祁峰)
Affiliation1.School of Computer Science and Engineering, Northeastern University, Shenyang 110169, China
2.Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang 110016, China
3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
4.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China
5.Key Lab of Image Understanding and Computer Vision, Shenyang 110016, China
Recommended Citation
GB/T 7714
Ning W,Qi F,Liu ZY,et al. Resolution enhancement in terahertz imaging via deconvolution[J]. IEEE Access,2019,7:65116-65121.
APA Ning W,Qi F,Liu ZY,Wang YL,Wu HM,&Wang JK.(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.
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