HFCAS OpenIR
Single pixel imaging via sparse projection angle sampling
Yang, Wei1,2; Yin, Kaixin3; Shi, Dongfeng1,2,4; Meng, Wenwen1,2; Zha, Linbin1,2; Chen, Yafeng1; Huang, Jian1,4; Wang, Yingjian1,2,4
2021-11-15
Source PublicationOPTICS COMMUNICATIONS
ISSN0030-4018
Corresponding AuthorYin, Kaixin(yinkx@mail.ipc.ac.cn)
AbstractThe recently proposed Radon single pixel imaging (RSPI) is based on Radon transform and considered to be a prospective technique in many fields, such as computed tomography, feature detection, classification and so on. And because of the fact that the exact implementation of inverse discrete Radon transformation does not exist, an approximate algorithm, filtered back projection, is employed to reconstruct the result images in RSPI. However, the presence of disturbing streak artifacts emerging from high-contrast structures hinders the high-quality reconstructions, especially at low sampling rates. In order to get rid of this dilemma, a novel single pixel imaging technique, which employs a few projection angle patterns to achieve sparse projection angle sampling and utilizes compressive sensing to reconstruct the result images, is proposed. Simulation and experimental results demonstrate that the image quality reconstructed by the proposed technique is much higher than that of RSPI at low sampling rates. Additionally, the proposed technique also has advantages in a lot of fields such as tomographic reconstruction at low radiation.
KeywordSingle pixel imaging Radon transform Sparse angle Compressive sensing
DOI10.1016/j.optcom.2021.127284
Indexed BySCI
Language英语
Funding ProjectFoundation of Key Laboratory of Sci-ence and Technology Innovation of Chinese Academy of Sciences[CXJJ20S028] ; Foundation of Key Laboratory of Sci-ence and Technology Innovation of Chinese Academy of Sciences[CXJJ20S020] ; Youth Innovation Promotion Asso-ciation of the Chinese Academy of Sciences[2020438] ; Youth Fund of Advanced Laser Technology Laboratory of Anhui Province[20192201]
Funding OrganizationFoundation of Key Laboratory of Sci-ence and Technology Innovation of Chinese Academy of Sciences ; Youth Innovation Promotion Asso-ciation of the Chinese Academy of Sciences ; Youth Fund of Advanced Laser Technology Laboratory of Anhui Province
WOS Research AreaOptics
WOS SubjectOptics
WOS IDWOS:000685964500017
PublisherELSEVIER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.hfcas.ac.cn:8080/handle/334002/124435
Collection中国科学院合肥物质科学研究院
Corresponding AuthorYin, Kaixin
Affiliation1.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Key Lab Atmospher Opt, Hefei 230031, Peoples R China
2.Univ Sci & Technol China, Hefei 230026, Peoples R China
3.Chinese Acad Sci, Tech Inst Phys & Chem, Beijing 100190, Peoples R China
4.Adv Laser Technol Lab Anhui Prov, Hefei 230037, Peoples R China
First Author AffilicationAnhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, China
Recommended Citation
GB/T 7714
Yang, Wei,Yin, Kaixin,Shi, Dongfeng,et al. Single pixel imaging via sparse projection angle sampling[J]. OPTICS COMMUNICATIONS,2021,499.
APA Yang, Wei.,Yin, Kaixin.,Shi, Dongfeng.,Meng, Wenwen.,Zha, Linbin.,...&Wang, Yingjian.(2021).Single pixel imaging via sparse projection angle sampling.OPTICS COMMUNICATIONS,499.
MLA Yang, Wei,et al."Single pixel imaging via sparse projection angle sampling".OPTICS COMMUNICATIONS 499(2021).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yang, Wei]'s Articles
[Yin, Kaixin]'s Articles
[Shi, Dongfeng]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yang, Wei]'s Articles
[Yin, Kaixin]'s Articles
[Shi, Dongfeng]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yang, Wei]'s Articles
[Yin, Kaixin]'s Articles
[Shi, Dongfeng]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.