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On the compensation of uneven illumination in retinal images for restoration by means of blind deconvolution

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datacite.rightshttp://purl.org/coar/access_right/c_16ec
dc.contributor.editorAltuve M.
dc.creatorMarrugo A.G.
dc.creatorVargas R.
dc.creatorContreras Ortiz, Sonia Helena
dc.creatorMillan M.S.
dc.date.accessioned2020-03-26T16:32:42Z
dc.date.available2020-03-26T16:32:42Z
dc.date.issued2016
dc.description.abstractRetinal eye fundus images are used for diagnostic purposes, but despite controlled conditions in acquisition they often suffer from uneven illumination and blur. In this work, we propose the use of multi-channel blind deconvolution for the restoration of blurred retinal images. The estimation of an adequate point-spread function (PSF) is highly dependent on the registration of at least two images from the same retina, which undergo illumination compensation. We use the bi-dimensional empirical mode decomposition (BEMD) approach to model the illumination distribution as a sum of non-stationary signals. The BEMD approach enables an artifact-free compensation of the illumination in order to estimate an adequate PSF and carry out the best restoration possible. Encouraging experimental results show significant enhancement in the retinal images with increased contrast and visibility of subtle details like small blood vessels. © 2016 IEEE.eng
dc.description.sponsorshipUniversidad Pontificia Bolivariana (UPB) Seccional Bucaramanga
dc.format.mediumRecurso electrónico
dc.format.mimetypeapplication/pdf
dc.identifier.citation2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016
dc.identifier.doi10.1109/STSIVA.2016.7743327
dc.identifier.instnameUniversidad Tecnológica de Bolívar
dc.identifier.isbn9781509037971
dc.identifier.orcid24329839300
dc.identifier.orcid57117284600
dc.identifier.orcid57210822856
dc.identifier.orcid7201466399
dc.identifier.reponameRepositorio UTB
dc.identifier.urihttps://hdl.handle.net/20.500.12585/8978
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.conferencedate30 August 2016 through 2 September 2016
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.ccAtribución-NoComercial 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85002970865&doi=10.1109%2fSTSIVA.2016.7743327&partnerID=40&md5=f0903522fcb6848666232c0a900c8fc1
dc.sourceScopus2-s2.0-85002970865
dc.source.event21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016
dc.subject.keywordsBlood vessels
dc.subject.keywordsConvolution
dc.subject.keywordsMedical imaging
dc.subject.keywordsOphthalmology
dc.subject.keywordsOptical transfer function
dc.subject.keywordsRestoration
dc.subject.keywordsSignal processing
dc.subject.keywordsVision
dc.subject.keywordsBi dimensional empirical mode decomposition (BEMD)
dc.subject.keywordsBlind deconvolution
dc.subject.keywordsControlled conditions
dc.subject.keywordsIllumination compensation
dc.subject.keywordsIllumination distribution
dc.subject.keywordsMulti channel
dc.subject.keywordsNonstationary signals
dc.subject.keywordsUneven illuminations
dc.subject.keywordsImage processing
dc.titleOn the compensation of uneven illumination in retinal images for restoration by means of blind deconvolution
dc.type.driverinfo:eu-repo/semantics/conferenceObject
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.type.spaConferencia
dcterms.bibliographicCitationAkram, M.U., Khitran, S., Usman, A., Yasin, U., Detection of hemorrhages in colored fundus images using non uniform illumination estimation (2014) Lecture Notes in Computer Science, 8815, pp. 329-336. , In A. Campilho and M. Kamel, editors. Springer International Publishing
dcterms.bibliographicCitationLu, Y., Xie, F., Wu, Y., Jiang, Z., Meng, R., No reference uneven illumination assessment for dermoscopy images (2015) IEEE Signal Processing Letters, 22 (5), pp. 534-538
dcterms.bibliographicCitationMarrugo, A.G., Millan, M.S., Retinal image analysis oriented to the clinical task (2014) Electronic Letters on Computer Vision and Image Analysis, 13 (2), pp. 54-55
dcterms.bibliographicCitationMarrugo, A.G., Sorel, M., Sroubek, F., Millan, M.S., Retinal image restoration by means of blind deconvolution (2011) Journal of Biomedical Optics, 16 (11), p. 116016
dcterms.bibliographicCitationNewton, M.J., The promise of telemedicine (2014) Survey of Ophthalmology, 59 (5), pp. 559-567. , Sept
dcterms.bibliographicCitationNunes, J.C., Bouaoune, Y., Delechelle, E., Niang, O., Bunel, P., Image analysis by bidimensional empirical mode decomposition (2003) Image and Vision Computing, 21 (12), pp. 1019-1026. , Nov
dcterms.bibliographicCitationSroubek, F., Flusser, J., Multichannel blind deconvolution of spatially misaligned images (2005) IEEE Transactions on Image Processing : A Publication of the IEEE Signal Processing Society, 14 (7), pp. 874-883. , July
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94f
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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