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On the compensation of uneven illumination in retinal images for restoration by means of blind deconvolution
dc.contributor.editor | Altuve M. | |
dc.creator | Marrugo A.G. | |
dc.creator | Vargas R. | |
dc.creator | Contreras Ortiz, Sonia Helena | |
dc.creator | Millan M.S. | |
dc.date.accessioned | 2020-03-26T16:32:42Z | |
dc.date.available | 2020-03-26T16:32:42Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | 2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016 | |
dc.identifier.isbn | 9781509037971 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12585/8978 | |
dc.description.abstract | Retinal 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.sponsorship | Universidad Pontificia Bolivariana (UPB) Seccional Bucaramanga | |
dc.format.medium | Recurso electrónico | |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.source | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85002970865&doi=10.1109%2fSTSIVA.2016.7743327&partnerID=40&md5=f0903522fcb6848666232c0a900c8fc1 | |
dc.source | Scopus2-s2.0-85002970865 | |
dc.title | On the compensation of uneven illumination in retinal images for restoration by means of blind deconvolution | |
dcterms.bibliographicCitation | Akram, 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.bibliographicCitation | Lu, 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.bibliographicCitation | Marrugo, 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.bibliographicCitation | Marrugo, 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.bibliographicCitation | Newton, M.J., The promise of telemedicine (2014) Survey of Ophthalmology, 59 (5), pp. 559-567. , Sept | |
dcterms.bibliographicCitation | Nunes, 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.bibliographicCitation | Sroubek, 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 | |
datacite.rights | http://purl.org/coar/access_right/c_16ec | |
oaire.resourceType | http://purl.org/coar/resource_type/c_c94f | |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
dc.source.event | 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016 | |
dc.type.driver | info:eu-repo/semantics/conferenceObject | |
dc.type.hasversion | info:eu-repo/semantics/publishedVersion | |
dc.identifier.doi | 10.1109/STSIVA.2016.7743327 | |
dc.subject.keywords | Blood vessels | |
dc.subject.keywords | Convolution | |
dc.subject.keywords | Medical imaging | |
dc.subject.keywords | Ophthalmology | |
dc.subject.keywords | Optical transfer function | |
dc.subject.keywords | Restoration | |
dc.subject.keywords | Signal processing | |
dc.subject.keywords | Vision | |
dc.subject.keywords | Bi dimensional empirical mode decomposition (BEMD) | |
dc.subject.keywords | Blind deconvolution | |
dc.subject.keywords | Controlled conditions | |
dc.subject.keywords | Illumination compensation | |
dc.subject.keywords | Illumination distribution | |
dc.subject.keywords | Multi channel | |
dc.subject.keywords | Nonstationary signals | |
dc.subject.keywords | Uneven illuminations | |
dc.subject.keywords | Image processing | |
dc.rights.accessrights | info:eu-repo/semantics/restrictedAccess | |
dc.rights.cc | Atribución-NoComercial 4.0 Internacional | |
dc.identifier.instname | Universidad Tecnológica de Bolívar | |
dc.identifier.reponame | Repositorio UTB | |
dc.relation.conferencedate | 30 August 2016 through 2 September 2016 | |
dc.type.spa | Conferencia | |
dc.identifier.orcid | 24329839300 | |
dc.identifier.orcid | 57117284600 | |
dc.identifier.orcid | 57210822856 | |
dc.identifier.orcid | 7201466399 |
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