Show simple item record

Blind restoration of retinal images degraded by space-variant blur with adaptive blur estimation

dc.creatorMarrugo A.G.
dc.creatorMillan M.S.
dc.creatorSorel M.
dc.creatorSroubek F.
dc.date.accessioned2020-03-26T16:32:53Z
dc.date.available2020-03-26T16:32:53Z
dc.date.issued2013
dc.identifier.citationProceedings of SPIE - The International Society for Optical Engineering; Vol. 8785
dc.identifier.isbn9780819496010
dc.identifier.issn0277786X
dc.identifier.urihttps://hdl.handle.net/20.500.12585/9069
dc.description.abstractRetinal images are often degraded with a blur that varies across the gield view. Because traditional deblurring algorithms assume the blur to be space-invariant they typically fail in the presence of space-variant blur. In this work we consider the blur to be both unknown and space-variant. To carry out the restoration, we assume that in small regions the space-variant blur can be approximated by a space-invariant point-spread function (PSF). However, instead of deblurring the image on a per-patch basis, we extend individual PSFs by linear interpolation and perform a global restoration. Because the blind estimation of local PSFs may fail we propose a strategy for the identification of valid local PSFs and perform interpolation to obtain the space-variant PSF. The method was tested on artificial and real degraded retinal images. Results show significant improvement in the visibility of subtle details like small blood vessels. © 2013 SPIE.eng
dc.description.sponsorshipInternational Commission for Optics;The Optical Society;European Optical Society;Red Iberoamericana de Optica;Innova Scientific
dc.format.mediumRecurso electrónico
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84891291217&doi=10.1117%2f12.2025134&partnerID=40&md5=f3d983a9d1a7cccfa7d83cbac0bfde99
dc.sourceScopus2-s2.0-84891291217
dc.titleBlind restoration of retinal images degraded by space-variant blur with adaptive blur estimation
dcterms.bibliographicCitationGodara, P., Dubis, A.M., Roorda, A., Duncan, J.L., Carroll, J., Adaptive optics retinal imaging: Emerging clinical applications (2010) Optometry and Vision Science: Official Publication of the American Academy of Optometry, 87, pp. 930-941. , Dec
dcterms.bibliographicCitationArines, J., Acosta, E., Low-cost adaptive astigmatism compensator for improvement of eye fundus camera (2011) Optics Letters, 36, pp. 4164-4166. , Nov
dcterms.bibliographicCitationMarrugo, A.G., Sorel, M., Sroubek, F., Millán, M.S., Retinal image restoration by means of blind deconvolution (2011) Journal of Biomedical Optics, 16 (11), p. 116016
dcterms.bibliographicCitationLevin, A., Weiss, Y., Durand, F., Freeman, W., Understanding blind deconvolution algorithms (2011) Pattern Analysis and Machine Intelligence, IEEE Transactions on, 33 (12), pp. 2354-2367
dcterms.bibliographicCitationBedggood, P., Daaboul, M., Ashman, R., Smith, G., Metha, A., Characteristics of the human isoplanatic patch and implications for adaptive optics retinal imaging (2008) Journal of Biomedical Optics, 13 (2), p. 024008
dcterms.bibliographicCitationTutt, R., Bradley, A., Begley, C., Thibos, L.N., Optical and visual impact of tear break-up in human eyes (2000) Investigative Ophthalmology &Visual Science, 41, pp. 4117-4123. , Dec
dcterms.bibliographicCitationXu, J., Bao, J., Deng, J., Lu, F., He, J.C., Dynamic changes in ocular zernike aberrations and tear menisci measured with a wavefront sensor and an anterior segment oct (2011) Investigative Ophthalmology &Visual Science, 52, pp. 6050-6056. , July
dcterms.bibliographicCitationCostello, T., Mikhael, W., Efficient restoration of space-variant blurs from physical optics by sectioning with modified Wiener filtering (2003) Digital Signal Processing, 13 (1), pp. 1-22
dcterms.bibliographicCitationBardsley, J., Jefferies, S., Nagy, J., Plemmons, R., A computational method for the restoration of images with an unknown, spatially-varying blur (2006) Optics Express, 14, pp. 1767-1782. , Mar
dcterms.bibliographicCitationHarmeling, S., Hirsch, M., Scholkopf, B., Space-variant single-image blind deconvolution for removing camera shake (2010) Advances in Neural Inform. Processing Syst
dcterms.bibliographicCitationWhyte, O., Sivic, J., Zisserman, A., Ponce, J.C.V., Non-uniform deblurring for shaken images (2010) Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pp. 491-498
dcterms.bibliographicCitationGupta, A., Joshi, N., Lawrence Zitnick, C., Cohen, M., Curless, B., Single image deblurring using motion density functions (2010) Computer Vision-ECCV, 2010, pp. 171-184
dcterms.bibliographicCitationHu, Z., Yang, M.-H., Good regions to deblur (2012) Computer Vision-ECCV 2012, pp. 59-72. , Springer
dcterms.bibliographicCitationKirsch, R.A., Computer determination of the constituent structure of biological images (1971) Computers and Biomedical Research, 4 (3), pp. 315-328
dcterms.bibliographicCitationAl-Rawi, M., Qutaishat, M., Arrar, M., An improved matched filter for blood vessel detection of digital retinal images (2007) Computers in Biology and Medicine, 37 (2), pp. 262-267
dcterms.bibliographicCitationHu, M.-K., Visual pattern recognition by moment invariants (1962) Information Theory, IRE Transactions on, 8 (2), pp. 179-187
dcterms.bibliographicCitationCampisi, P., Egiazarian, K., (2007) Blind Image Deconvolution: Theory and Applications, , CRC Press, Boca Raton, Fl, USA
dcterms.bibliographicCitationChambolle, A., Lions, P.L., Image recovery via total variation minimization and related problems (1997) Numerische Mathematik, 76 (2), pp. 167-188
dcterms.bibliographicCitationGolub, G., Van Loan, C., (1996) Matrix Computations, 3. , Johns Hopkins University Press
datacite.rightshttp://purl.org/coar/access_right/c_16ec
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94f
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.source.event8th Iberoamerican Optics Meeting, RIAO 2013 and 11th Latin American Meeting on Optics, Lasers, and Applications, OPTILAS 2013
dc.type.driverinfo:eu-repo/semantics/conferenceObject
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1117/12.2025134
dc.subject.keywordsDeblurring
dc.subject.keywordsDeconvolution
dc.subject.keywordsMedical image
dc.subject.keywordsRetinal image
dc.subject.keywordsSpace-variant restoration
dc.subject.keywordsBlind estimations
dc.subject.keywordsBlind restoration
dc.subject.keywordsDeblurring
dc.subject.keywordsDeblurring algorithms
dc.subject.keywordsLinear Interpolation
dc.subject.keywordsPoint-spread functions
dc.subject.keywordsRetinal image
dc.subject.keywordsSpace variants
dc.subject.keywordsBlood vessels
dc.subject.keywordsDeconvolution
dc.subject.keywordsMedical imaging
dc.subject.keywordsOphthalmology
dc.subject.keywordsOptics
dc.subject.keywordsRestoration
dc.subject.keywordsImage enhancement
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.ccAtribución-NoComercial 4.0 Internacional
dc.identifier.instnameUniversidad Tecnológica de Bolívar
dc.identifier.reponameRepositorio UTB
dc.relation.conferenceplacePorto
dc.relation.conferencedate22 July 2013 through 26 July 2013
dc.type.spaConferencia
dc.identifier.orcid24329839300
dc.identifier.orcid7201466399
dc.identifier.orcid15846700100
dc.identifier.orcid55882243100


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

http://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/