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dc.contributor.authorZhang, Junchao
dc.contributor.authorLuo, Haibo
dc.contributor.authorLiang, Rongguang
dc.contributor.authorZhou, Wei
dc.contributor.authorHui, Bin
dc.contributor.authorChang, Zheng
dc.date.accessioned2017-04-25T23:35:43Z
dc.date.available2017-04-25T23:35:43Z
dc.date.issued2017-01-30
dc.identifier.citationPCA-based denoising method for division of focal plane polarimeters 2017, 25 (3):2391 Optics Expressen
dc.identifier.issn1094-4087
dc.identifier.doi10.1364/OE.25.002391
dc.identifier.urihttp://hdl.handle.net/10150/623248
dc.description.abstractDivision of focal plane (DoFP) polarimeters are composed of interlaced linear polarizers overlaid upon a focal plane array sensor. The interpolation is essential to reconstruct polarization information. However, current interpolation methods are based on the unrealistic assumption of noise-free images. Thus, it is advantageous to carry out denoising before interpolation. In this paper, we propose a principle component analysis (PCA) based denoising method, which works directly on DoFP images. Both simulated and real DoFP images are used to evaluate the denoising performance. Experimental results show that the proposed method can effectively suppress noise while preserving edges. (C) 2017 Optical Society of America
dc.language.isoenen
dc.publisherOPTICAL SOC AMERen
dc.relation.urlhttps://www.osapublishing.org/abstract.cfm?URI=oe-25-3-2391en
dc.rights© 2017 Optical Society of Americaen
dc.titlePCA-based denoising method for division of focal plane polarimetersen
dc.typeArticleen
dc.contributor.departmentUniv Arizona, Ctr Opt Scien
dc.identifier.journalOptics Expressen
dc.description.noteOpen access journal.en
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal published versionen
refterms.dateFOA2018-07-14T17:20:28Z
html.description.abstractDivision of focal plane (DoFP) polarimeters are composed of interlaced linear polarizers overlaid upon a focal plane array sensor. The interpolation is essential to reconstruct polarization information. However, current interpolation methods are based on the unrealistic assumption of noise-free images. Thus, it is advantageous to carry out denoising before interpolation. In this paper, we propose a principle component analysis (PCA) based denoising method, which works directly on DoFP images. Both simulated and real DoFP images are used to evaluate the denoising performance. Experimental results show that the proposed method can effectively suppress noise while preserving edges. (C) 2017 Optical Society of America


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