Fringe pattern denoising by image dimensionality reduction

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dc.contributor.authorQuiroga Mellado, Juan Antonio
dc.contributor.authorVargas Balbuena, Javier
dc.contributor.authorEstrada, Julio César
dc.contributor.authorCarazo García, José María
dc.contributor.authorSánchez Sorzano, Carlos Óscar
dc.date.accessioned2023-06-19T13:22:12Z
dc.date.available2023-06-19T13:22:12Z
dc.date.issued2013-07
dc.description© 2013 Elsevier Ltd. The authors would like to acknowledge economical support from the Spanish Ministry of Economy and Competitiveness through Grants ACI2009-1022, ACI2010-108 and BIO2010-16566, the Spanish Ministry of Science and Technology under Grant DPI2009-09023, and postdoctoral ‘‘Juan de la Cierva’’ grant with reference JCI-2011–10185. C.O.S. Sorzano is recipient of a Ramón y Cajal fellowship.
dc.description.abstractNoise is a key problem in fringe pattern processing, especially in single frame demodulation of interferograms. In this work, we propose to filter the pattern noise using a straightforward, fast and easy to implement denoising method, which is based on a dimensionality reduction approach, in the sense of image rank reduction. The proposed technique has been applied to simulated and experimental ESPI interferograms obtaining satisfactory results.
dc.description.departmentDepto. de Óptica
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.sponsorshipSpanish Ministry of Economy and Competitiveness
dc.description.sponsorshipSpanish Ministry of Science and Technology
dc.description.sponsorshipRamón y Cajal Fellowship
dc.description.sponsorshipJuan de la Cierva Grants
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/23286
dc.identifier.citation[1] Kaufmann G. H., editor. Advances in speckle metrology and related techniques. Wiley-VCH;2011 </http://www.amazon.com/Advances-Speckle-Metrology-Related-Techniques/dp/3527409572S. [2] Perona P., Malik J. Scale-space and edge detection using anisotropic difusión. IEEE Trans. Pattern Anal. Mach. Intell. 1990; 12: 629. [3] Tang C., Han L., Ren H., Zhou D., Chang Y., Wang X., et al. Second-order oriented partial-differential equations for denoising in electronic-speckle-pattern interferometry fringes. OptLett2008;33:2179. [4] Wang H., Kemao Q., Gao W., Lin F., Seah S. Fringe pattern denoising using coherence enhancing diffusion. Opt Lett 2009; 34: 1141. [5] /http://www.mathworks.es/matlabcentral/fileexchange/3710-nonlinear-diffusion-toolbox/content/cedif.mS. [6] Wu P., Manjunath B. S., Shin H. D. Dimensionality reduction for image retrieval. Proc ICPI 2000; 3. [7] Fodor IK. Asurvey of dimension reduction techniques. Technical report UCRL- ID-148494; 2002. [8] Verbeek J. Learning nonlinear image manifolds by global alignment of local linear models. IEEE Trans Pattern Anal Mach Intell 2006; 28. [9] Kambhatla N, Leen TK. Dimension reduction by local principal component analysis. Neural Comp 1997; 9 (7). [10] Carreira-Perpinan M A. A review of dimension reduction techniques. Technical report CS-96-09;1997. [11] Vargas J, Antonio Quiroga J, Belenguer T. Local fringe density determination by adaptive filtering. Opt Lett 2011; 36: 70–2. [12] Villa J, De la Rosa I, Miramontes G, Quiroga J Antonio. Phase recovery from a single fringe pattern using an orientational vector-field-regularized estimator. J Opt Soc Am A2005; 22: 2766–73.
dc.identifier.doi10.1016/j.optlaseng.2013.02.016
dc.identifier.issn0143-8166
dc.identifier.officialurlhttp://dx.doi.org/10.1016/j.optlaseng.2013.02.016
dc.identifier.relatedurlhttp://www.sciencedirect.com/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/33370
dc.issue.number7
dc.journal.titleOptics and Lassers in Engineering
dc.language.isoeng
dc.page.final928
dc.page.initial921
dc.publisherElsevier Sci. Ltd.
dc.relation.projectIDACI2009-1022
dc.relation.projectIDACI2010-108
dc.relation.projectIDBIO2010-16566
dc.relation.projectIDDPI2009-09023
dc.relation.projectIDJCI-2011–10185
dc.rights.accessRightsopen access
dc.subject.cdu535
dc.subject.keywordInterferometry
dc.subject.keywordFringe Processing
dc.subject.keywordDenoising
dc.subject.keywordDimensionality Reduction
dc.subject.ucmÓptica (Física)
dc.subject.unesco2209.19 Óptica Física
dc.titleFringe pattern denoising by image dimensionality reduction
dc.typejournal article
dc.volume.number51
dspace.entity.typePublication
relation.isAuthorOfPublication1c171089-8e25-448f-bcce-28d030f8f43a
relation.isAuthorOfPublication6ccb1e60-8b61-4b23-8a0a-09af30f7b795
relation.isAuthorOfPublication.latestForDiscovery1c171089-8e25-448f-bcce-28d030f8f43a
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