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dc.contributor.authorGonzález-Vidal, Juan José
dc.contributor.authorPérez Pueyo, Rosanna
dc.contributor.authorSoneira Ferrando, M. José
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2017-05-10T14:06:58Z
dc.date.available2019-04-02T00:30:55Z
dc.date.issued2017-01-01
dc.identifier.citationGonzález-Vidal, J.J., Perez-Pueyo, R., Soneira, M.J. Automatic morphology-based cubic p-spline fitting methodology for smoothing and baseline-removal of Raman spectra. "Journal of Raman spectroscopy", 1 Gener 2017, p. 1-6.
dc.identifier.issn1097-4555
dc.identifier.urihttp://hdl.handle.net/2117/104280
dc.description.abstractNoise filtering is considered a crucial step for the proper interpretation of Raman spectra. In this work, we present a new denoising procedure which enhances the Raman information whilst reducing unwanted contributions from the most frequent noise sources, i.e. the shot noise and the fluorescence's baseline. The procedure increases the signal-to-noise ratio whilst preserving simultaneously the shapes, positions and intensity ratios of the Raman bands. The method relies on cubic penalized spline fitting and mathematical morphology and requires no user input. We describe the details of this method and include a benchmark to study the performance of the presented approach compared with the most commonly used denoising techniques. The method has been successfully applied to improve the signal quality of Raman spectra from artistic pigments. The reliable results that were obtained make the methodology a useful tool to help the analyst in the interpretation of Raman spectra from pigments in artworks. Copyright © 2017 John Wiley & Sons, Ltd.
dc.format.extent6 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica::Fotònica
dc.subjectÀrees temàtiques de la UPC::Física::Física molecular::Espectroscòpia molecular
dc.subject.lcshRaman spectroscopy
dc.subject.otherRaman spectroscopy
dc.subject.otherNoise filtering
dc.subject.otherShot noise
dc.subject.otherFluorescence’s baseline
dc.subject.otherPigment analysis
dc.titleAutomatic morphology-based cubic p-spline fitting methodology for smoothing and baseline-removal of Raman spectra
dc.typeArticle
dc.subject.lemacEspectroscòpia Raman
dc.contributor.groupUniversitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques
dc.identifier.doi10.1002/jrs.5130
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://onlinelibrary.wiley.com/doi/10.1002/jrs.5130/abstract
dc.rights.accessOpen Access
drac.iddocument20318115
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorGonzález-Vidal, J.J., Perez-Pueyo, R., Soneira, M.J.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameJournal of Raman spectroscopy
upcommons.citation.startingPage1
upcommons.citation.endingPage6


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