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NanoSIMS image enhancement by reducing random noise using low-rank method
Lin, Yi1,2,3; Hao, Jialong1,2; Miao, Zhongzheng1,2,3; Zhang, Jinhai1,2; Yang, Wei1,2
2020-01-12
Source PublicationSURFACE AND INTERFACE ANALYSIS
ISSN0142-2421
Pages9
AbstractNanoSIMS images are usually affected by random noises because of various types of sources, which degrade the quality of ion images and increase the uncertainty of the geochemical interpretations. Here, we applied the weighted nuclear norm minimization (WNNM) method to reduce the random noise in the NanoSIMS image. The low-rank property of the image is fully considered to suppress random noise while retaining reliable details of weak signals. Numerical experiments on four different kinds of NanoSIMS ion images show that the denoising ability of the WNNM method is superior to that of the median filter, no matter the size of the filtering windows used (eg, 3 x 3, 5 x 5, and 7 x 7). The WNNM method can reduce random noise while preserving the most critical details in the original NanoSIMS observations, which can significantly enhance reliability when distinguishing critical boundaries and structures.
Keyworddenoising low rank NanoSIMS random noise weighted nuclear norm minimization
DOI10.1002/sia.6736
Funding OrganizationNational Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China
WOS KeywordTRACE-ELEMENTS ; DISTRIBUTIONS
Language英语
Funding ProjectNational Major Project of China[2017ZX05008-007] ; National Key Research and Development Program of China[2018YFA 0702601]
Funding OrganizationNational Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Major Project of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China
WOS Research AreaChemistry
WOS SubjectChemistry, Physical
WOS IDWOS:000507119500001
PublisherWILEY
Citation statistics
Document Type期刊论文
Identifierhttp://ir.iggcas.ac.cn/handle/132A11/95921
Collection地球与行星物理院重点实验室
Corresponding AuthorZhang, Jinhai; Yang, Wei
Affiliation1.Chinese Acad Sci, Key Lab Earth & Planetary Phys, Inst Geol & Geophys, Beijing 100029, Peoples R China
2.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China
First Author AffilicationKey Laboratory of Earth and Planetary Physics, Chinese Academy of Sciences
Corresponding Author AffilicationKey Laboratory of Earth and Planetary Physics, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Lin, Yi,Hao, Jialong,Miao, Zhongzheng,et al. NanoSIMS image enhancement by reducing random noise using low-rank method[J]. SURFACE AND INTERFACE ANALYSIS,2020:9.
APA Lin, Yi,Hao, Jialong,Miao, Zhongzheng,Zhang, Jinhai,&Yang, Wei.(2020).NanoSIMS image enhancement by reducing random noise using low-rank method.SURFACE AND INTERFACE ANALYSIS,9.
MLA Lin, Yi,et al."NanoSIMS image enhancement by reducing random noise using low-rank method".SURFACE AND INTERFACE ANALYSIS (2020):9.
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