Blind restoration of retinal images degraded by space-variant blur with adaptive blur estimation
Retinal 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...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2013
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9069
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9069
- Palabra clave:
- Deblurring
Deconvolution
Medical image
Retinal image
Space-variant restoration
Blind estimations
Blind restoration
Deblurring
Deblurring algorithms
Linear Interpolation
Point-spread functions
Retinal image
Space variants
Blood vessels
Deconvolution
Medical imaging
Ophthalmology
Optics
Restoration
Image enhancement
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Blind restoration of retinal images degraded by space-variant blur with adaptive blur estimation |
| title |
Blind restoration of retinal images degraded by space-variant blur with adaptive blur estimation |
| spellingShingle |
Blind restoration of retinal images degraded by space-variant blur with adaptive blur estimation Deblurring Deconvolution Medical image Retinal image Space-variant restoration Blind estimations Blind restoration Deblurring Deblurring algorithms Linear Interpolation Point-spread functions Retinal image Space variants Blood vessels Deconvolution Medical imaging Ophthalmology Optics Restoration Image enhancement |
| title_short |
Blind restoration of retinal images degraded by space-variant blur with adaptive blur estimation |
| title_full |
Blind restoration of retinal images degraded by space-variant blur with adaptive blur estimation |
| title_fullStr |
Blind restoration of retinal images degraded by space-variant blur with adaptive blur estimation |
| title_full_unstemmed |
Blind restoration of retinal images degraded by space-variant blur with adaptive blur estimation |
| title_sort |
Blind restoration of retinal images degraded by space-variant blur with adaptive blur estimation |
| dc.subject.keywords.none.fl_str_mv |
Deblurring Deconvolution Medical image Retinal image Space-variant restoration Blind estimations Blind restoration Deblurring Deblurring algorithms Linear Interpolation Point-spread functions Retinal image Space variants Blood vessels Deconvolution Medical imaging Ophthalmology Optics Restoration Image enhancement |
| topic |
Deblurring Deconvolution Medical image Retinal image Space-variant restoration Blind estimations Blind restoration Deblurring Deblurring algorithms Linear Interpolation Point-spread functions Retinal image Space variants Blood vessels Deconvolution Medical imaging Ophthalmology Optics Restoration Image enhancement |
| description |
Retinal 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. |
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2013 |
| dc.date.issued.none.fl_str_mv |
2013 |
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2020-03-26T16:32:53Z |
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2020-03-26T16:32:53Z |
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Conferencia |
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Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8785 |
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9780819496010 |
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0277786X |
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https://hdl.handle.net/20.500.12585/9069 |
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10.1117/12.2025134 |
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Universidad Tecnológica de Bolívar |
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Repositorio UTB |
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24329839300 7201466399 15846700100 55882243100 |
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Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8785 9780819496010 0277786X 10.1117/12.2025134 Universidad Tecnológica de Bolívar Repositorio UTB 24329839300 7201466399 15846700100 55882243100 |
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https://hdl.handle.net/20.500.12585/9069 |
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eng |
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eng |
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Porto |
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22 July 2013 through 26 July 2013 |
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Recurso electrónico |
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Universidad Tecnológica de Bolívar |
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8th Iberoamerican Optics Meeting, RIAO 2013 and 11th Latin American Meeting on Optics, Lasers, and Applications, OPTILAS 2013 |
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2020-03-26T16:32:53Z2020-03-26T16:32:53Z2013Proceedings of SPIE - The International Society for Optical Engineering; Vol. 878597808194960100277786Xhttps://hdl.handle.net/20.500.12585/906910.1117/12.2025134Universidad Tecnológica de BolívarRepositorio UTB2432983930072014663991584670010055882243100Retinal 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.International Commission for Optics;The Optical Society;European Optical Society;Red Iberoamericana de Optica;Innova ScientificRecurso electrónicoapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84891291217&doi=10.1117%2f12.2025134&partnerID=40&md5=f3d983a9d1a7cccfa7d83cbac0bfde99Scopus2-s2.0-848912912178th Iberoamerican Optics Meeting, RIAO 2013 and 11th Latin American Meeting on Optics, Lasers, and Applications, OPTILAS 2013Blind restoration of retinal images degraded by space-variant blur with adaptive blur estimationinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fDeblurringDeconvolutionMedical imageRetinal imageSpace-variant restorationBlind estimationsBlind restorationDeblurringDeblurring algorithmsLinear InterpolationPoint-spread functionsRetinal imageSpace variantsBlood vesselsDeconvolutionMedical imagingOphthalmologyOpticsRestorationImage enhancementPorto22 July 2013 through 26 July 2013Marrugo A.G.Millan M.S.Sorel M.Sroubek F.Godara, 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. , DecArines, J., Acosta, E., Low-cost adaptive astigmatism compensator for improvement of eye fundus camera (2011) Optics Letters, 36, pp. 4164-4166. , NovMarrugo, 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. 116016Levin, A., Weiss, Y., Durand, F., Freeman, W., Understanding blind deconvolution algorithms (2011) Pattern Analysis and Machine Intelligence, IEEE Transactions on, 33 (12), pp. 2354-2367Bedggood, 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. 024008Tutt, 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. , DecXu, 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. , JulyCostello, 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. 1-22Bardsley, 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. , MarHarmeling, S., Hirsch, M., Scholkopf, B., Space-variant single-image blind deconvolution for removing camera shake (2010) Advances in Neural Inform. Processing SystWhyte, 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. 491-498Gupta, A., Joshi, N., Lawrence Zitnick, C., Cohen, M., Curless, B., Single image deblurring using motion density functions (2010) Computer Vision-ECCV, 2010, pp. 171-184Hu, Z., Yang, M.-H., Good regions to deblur (2012) Computer Vision-ECCV 2012, pp. 59-72. , SpringerKirsch, R.A., Computer determination of the constituent structure of biological images (1971) Computers and Biomedical Research, 4 (3), pp. 315-328Al-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. 262-267Hu, M.-K., Visual pattern recognition by moment invariants (1962) Information Theory, IRE Transactions on, 8 (2), pp. 179-187Campisi, P., Egiazarian, K., (2007) Blind Image Deconvolution: Theory and Applications, , CRC Press, Boca Raton, Fl, USAChambolle, A., Lions, P.L., Image recovery via total variation minimization and related problems (1997) Numerische Mathematik, 76 (2), pp. 167-188Golub, G., Van Loan, C., (1996) Matrix Computations, 3. , Johns Hopkins University Presshttp://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/9069/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/9069oai:repositorio.utb.edu.co:20.500.12585/90692021-02-02 14:53:28.549Repositorio Institucional UTBrepositorioutb@utb.edu.co |