Iterative-Trained Semi-Blind Deconvolution Algorithm to Compensate Straylight in Retinal Images

The optical quality of an image depends on both the optical properties of the imaging system and the physical properties of the medium in which the light travels from the object to the final imaging sensor. The analysis of the point spread function of the optical system is an objective way to quanti...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of imaging Jg. 7; H. 4; S. 73
Hauptverfasser:	Ávila, Francisco J., Ares, Jorge, Marcellán, María C., Collados, María V., Remón, Laura
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 16.04.2021 MDPI
Schlagworte:	Age Algorithms artificial intelligence blind deconvolution Cataracts Datasets Deconvolution Diabetes Diabetic retinopathy Edema Glare Glaucoma Image degradation Image quality Image restoration Image segmentation intraocular straylight Iterative methods Optical properties Performance evaluation Physical properties Point spread functions Retina Retinal images retinal imaging Richardson-Lucy deconvolution Sharpness Spatial data Stray light
ISSN:	2313-433X, 2313-433X
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Abstract	The optical quality of an image depends on both the optical properties of the imaging system and the physical properties of the medium in which the light travels from the object to the final imaging sensor. The analysis of the point spread function of the optical system is an objective way to quantify the image degradation. In retinal imaging, the presence of corneal or cristalline lens opacifications spread the light at wide angular distributions. If the mathematical operator that degrades the image is known, the image can be restored through deconvolution methods. In the particular case of retinal imaging, this operator may be unknown (or partially) due to the presence of cataracts, corneal edema, or vitreous opacification. In those cases, blind deconvolution theory provides useful results to restore important spatial information of the image. In this work, a new semi-blind deconvolution method has been developed by training an iterative process with the Glare Spread Function kernel based on the Richardson-Lucy deconvolution algorithm to compensate a veiling glare effect in retinal images due to intraocular straylight. The method was first tested with simulated retinal images generated from a straylight eye model and applied to a real retinal image dataset composed of healthy subjects and patients with glaucoma and diabetic retinopathy. Results showed the capacity of the algorithm to detect and compensate the veiling glare degradation and improving the image sharpness up to 1000% in the case of healthy subjects and up to 700% in the pathological retinal images. This image quality improvement allows performing image segmentation processing with restored hidden spatial information after deconvolution.
AbstractList	The optical quality of an image depends on both the optical properties of the imaging system and the physical properties of the medium in which the light travels from the object to the final imaging sensor. The analysis of the point spread function of the optical system is an objective way to quantify the image degradation. In retinal imaging, the presence of corneal or cristalline lens opacifications spread the light at wide angular distributions. If the mathematical operator that degrades the image is known, the image can be restored through deconvolution methods. In the particular case of retinal imaging, this operator may be unknown (or partially) due to the presence of cataracts, corneal edema, or vitreous opacification. In those cases, blind deconvolution theory provides useful results to restore important spatial information of the image. In this work, a new semi-blind deconvolution method has been developed by training an iterative process with the Glare Spread Function kernel based on the Richardson-Lucy deconvolution algorithm to compensate a veiling glare effect in retinal images due to intraocular straylight. The method was first tested with simulated retinal images generated from a straylight eye model and applied to a real retinal image dataset composed of healthy subjects and patients with glaucoma and diabetic retinopathy. Results showed the capacity of the algorithm to detect and compensate the veiling glare degradation and improving the image sharpness up to 1000% in the case of healthy subjects and up to 700% in the pathological retinal images. This image quality improvement allows performing image segmentation processing with restored hidden spatial information after deconvolution. The optical quality of an image depends on both the optical properties of the imaging system and the physical properties of the medium in which the light travels from the object to the final imaging sensor. The analysis of the point spread function of the optical system is an objective way to quantify the image degradation. In retinal imaging, the presence of corneal or cristalline lens opacifications spread the light at wide angular distributions. If the mathematical operator that degrades the image is known, the image can be restored through deconvolution methods. In the particular case of retinal imaging, this operator may be unknown (or partially) due to the presence of cataracts, corneal edema, or vitreous opacification. In those cases, blind deconvolution theory provides useful results to restore important spatial information of the image. In this work, a new semi-blind deconvolution method has been developed by training an iterative process with the Glare Spread Function kernel based on the Richardson-Lucy deconvolution algorithm to compensate a veiling glare effect in retinal images due to intraocular straylight. The method was first tested with simulated retinal images generated from a straylight eye model and applied to a real retinal image dataset composed of healthy subjects and patients with glaucoma and diabetic retinopathy. Results showed the capacity of the algorithm to detect and compensate the veiling glare degradation and improving the image sharpness up to 1000% in the case of healthy subjects and up to 700% in the pathological retinal images. This image quality improvement allows performing image segmentation processing with restored hidden spatial information after deconvolution.The optical quality of an image depends on both the optical properties of the imaging system and the physical properties of the medium in which the light travels from the object to the final imaging sensor. The analysis of the point spread function of the optical system is an objective way to quantify the image degradation. In retinal imaging, the presence of corneal or cristalline lens opacifications spread the light at wide angular distributions. If the mathematical operator that degrades the image is known, the image can be restored through deconvolution methods. In the particular case of retinal imaging, this operator may be unknown (or partially) due to the presence of cataracts, corneal edema, or vitreous opacification. In those cases, blind deconvolution theory provides useful results to restore important spatial information of the image. In this work, a new semi-blind deconvolution method has been developed by training an iterative process with the Glare Spread Function kernel based on the Richardson-Lucy deconvolution algorithm to compensate a veiling glare effect in retinal images due to intraocular straylight. The method was first tested with simulated retinal images generated from a straylight eye model and applied to a real retinal image dataset composed of healthy subjects and patients with glaucoma and diabetic retinopathy. Results showed the capacity of the algorithm to detect and compensate the veiling glare degradation and improving the image sharpness up to 1000% in the case of healthy subjects and up to 700% in the pathological retinal images. This image quality improvement allows performing image segmentation processing with restored hidden spatial information after deconvolution.
Author	Ares, Jorge Remón, Laura Marcellán, María C. Collados, María V. Ávila, Francisco J.
AuthorAffiliation	Departamento de Física Aplicada, Universidad de Zaragoza, 50009 Zaragoza, Spain; fatxutxa@unizar.es (J.A.); mcvidosa@unizar.es (M.C.M.); vcollado@unizar.es (M.V.C.); lauremar@unizar.es (L.R.)
AuthorAffiliation_xml	– name: Departamento de Física Aplicada, Universidad de Zaragoza, 50009 Zaragoza, Spain; fatxutxa@unizar.es (J.A.); mcvidosa@unizar.es (M.C.M.); vcollado@unizar.es (M.V.C.); lauremar@unizar.es (L.R.)
Author_xml	– sequence: 1 givenname: Francisco J. orcidid: 0000-0002-9068-7728 surname: Ávila fullname: Ávila, Francisco J. – sequence: 2 givenname: Jorge orcidid: 0000-0002-1124-0363 surname: Ares fullname: Ares, Jorge – sequence: 3 givenname: María C. surname: Marcellán fullname: Marcellán, María C. – sequence: 4 givenname: María V. surname: Collados fullname: Collados, María V. – sequence: 5 givenname: Laura surname: Remón fullname: Remón, Laura
BookMark	eNp1kstrGzEQxkVJaRI3514XeullEz32ob0UUvdlCBSaFHoTesyuZbSSK8mG_PeV61AaQw9C0uj7fsyM5hKd-eABoTcEXzM24JuNneVk_dTjBuOevUAXlBFWN4z9PPvnfI6uUtpgjMlAyxpeoXPWNB1uKbtAYpUhymz3UD9EaT2Y6h5mW39w1pvqI-jg98Htsg2-unVTiDav5yqHahnmLfgkM1T3OcpHZ6d1rqyvvkO2XrpqVZKD9Bq9HKVLcPW0L9CPz58ell_ru29fVsvbu1o3XZNrMxKlKOdqVGOvxrE3vNXKEA69bDVgbRqmTcdp07GBqXKVagBegpxiThlboNWRa4LciG0srYmPIkgr_gRCnISM2WoHgnSSa1C8741uOCMSejXQdiAD7jAnB9b7I2u7UzMYDb4U6J5Bn794uxZT2AvOKGG0KYB3T4AYfu0gZTHbpME56SHskqBt1w-8xT0v0rcn0k3YxdK_g4oR0uKhFLxAN0eVjiGlCOPfZAgWh1kQJ7NQHO2JQ9ssD99YMrbuv77fE5280w
CitedBy_id	crossref_primary_10_1016_j_cmpb_2022_107297 crossref_primary_10_3390_mi12121558 crossref_primary_10_1007_s11265_025_01958_7 crossref_primary_10_3390_jimaging10040089
Cites_doi	10.1016/j.jcrs.2016.02.022 10.1109/LSP.2012.2227726 10.1097/00006324-199502000-00003 10.1016/j.jcrs.2017.06.044 10.1364/JOSA.62.000055 10.3928/1081597X-20151021-03 10.1186/s12886-015-0120-1 10.1117/1.3652709 10.1371/journal.pone.0080106 10.2147/OPTH.S224970 10.1155/2013/154860 10.1088/1464-4258/7/10/010 10.1097/OPX.0000000000001360 10.1016/j.preteyeres.2018.08.002 10.1364/BOE.8.005675 10.1016/j.procs.2015.09.005 10.1364/JOSAA.24.001296 10.1086/111605 10.1162/1063656041774983 10.1364/OE.387940 10.1364/JOSAA.36.000918 10.1371/journal.pone.0243740 10.1016/0039-6257(84)90169-3 10.1016/j.optom.2017.10.003 10.1109/TPAMI.1986.4767851 10.1111/j.1365-2818.2011.03486.x 10.1016/j.ajoc.2020.100857 10.1364/JOSAA.21.001393 10.1002/9781119238447 10.1364/OE.19.023227 10.1016/j.compbiomed.2008.02.008 10.1364/OL.13.000547 10.1364/JOSAA.12.000058 10.1109/TMI.1982.4307558 10.1016/0042-6989(91)90057-C 10.1097/OPX.0b013e31816c4449
ContentType	Journal Article
Copyright	2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2021 by the authors. 2021
Copyright_xml	– notice: 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2021 by the authors. 2021
DBID	AAYXX CITATION 8FE 8FG ABUWG AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU DWQXO HCIFZ P5Z P62 PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS 7X8 5PM DOA
DOI	10.3390/jimaging7040073
DatabaseName	CrossRef ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials - QC ProQuest Central Technology Collection ProQuest One Community College ProQuest Central Korea SciTech Premium Collection Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals
DatabaseTitle	CrossRef Publicly Available Content Database Advanced Technologies & Aerospace Collection Technology Collection ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest One Academic Eastern Edition ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Technology Collection ProQuest SciTech Collection ProQuest Central China ProQuest Central Advanced Technologies & Aerospace Database ProQuest One Applied & Life Sciences ProQuest One Academic UKI Edition ProQuest Central Korea ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) MEDLINE - Academic
DatabaseTitleList	MEDLINE - Academic Publicly Available Content Database CrossRef
Database_xml	– sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering
EISSN	2313-433X
ExternalDocumentID	oai_doaj_org_article_16a8ceb877dc4831ae7b925919060813 PMC8321324 10_3390_jimaging7040073
GroupedDBID	5VS 8FE 8FG AADQD AAFWJ AAYXX ADBBV ADMLS AFFHD AFKRA AFPKN AFZYC ALMA_UNASSIGNED_HOLDINGS ARAPS ARCSS BCNDV BENPR BGLVJ CCPQU CITATION GROUPED_DOAJ HCIFZ KQ8 MODMG M~E OK1 P62 PGMZT PHGZM PHGZT PIMPY PQGLB PROAC RPM ABUWG AZQEC DWQXO PKEHL PQEST PQQKQ PQUKI PRINS 7X8 5PM
ID	FETCH-LOGICAL-c464t-df1bb288bfbf7bff7d85cbd18e7a5ce0cd43cd68246393bcd4ab9e843c8208233
IEDL.DBID	DOA
ISICitedReferencesCount	6
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000643126600001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	2313-433X
IngestDate	Fri Oct 03 12:18:03 EDT 2025 Tue Nov 04 02:02:21 EST 2025 Sun Nov 09 10:46:42 EST 2025 Fri Jul 25 04:10:17 EDT 2025 Sat Nov 29 07:14:39 EST 2025 Tue Nov 18 22:35:31 EST 2025
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	4
Language	English
License	Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c464t-df1bb288bfbf7bff7d85cbd18e7a5ce0cd43cd68246393bcd4ab9e843c8208233
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ORCID	0000-0002-9068-7728 0000-0002-1124-0363
OpenAccessLink	https://doaj.org/article/16a8ceb877dc4831ae7b925919060813
PMID	34460523
PQID	2531150939
PQPubID	2059558
ParticipantIDs	doaj_primary_oai_doaj_org_article_16a8ceb877dc4831ae7b925919060813 pubmedcentral_primary_oai_pubmedcentral_nih_gov_8321324 proquest_miscellaneous_2567985078 proquest_journals_2531150939 crossref_primary_10_3390_jimaging7040073 crossref_citationtrail_10_3390_jimaging7040073
PublicationCentury	2000
PublicationDate	20210416
PublicationDateYYYYMMDD	2021-04-16
PublicationDate_xml	– month: 4 year: 2021 text: 20210416 day: 16
PublicationDecade	2020
PublicationPlace	Basel
PublicationPlace_xml	– name: Basel
PublicationTitle	Journal of imaging
PublicationYear	2021
Publisher	MDPI AG MDPI
Publisher_xml	– name: MDPI AG – name: MDPI
References	Canny (ref_25) 1986; 8 Reus (ref_7) 2017; 43 Laasmaa (ref_32) 2011; 243 ref_34 Xu (ref_3) 2018; 11 Shepp (ref_31) 1974; 1 Gaurisankar (ref_8) 2019; 12 ref_30 Hwang (ref_42) 2015; 15 ref_18 Fish (ref_20) 1995; 2 Wanek (ref_1) 2010; 24 Vos (ref_27) 1984; 3 ref_39 (ref_4) 1995; 72 ref_16 Fei (ref_15) 2017; 8 Sevik (ref_13) 2008; 38 Labuz (ref_5) 2015; 31 Aldaba (ref_14) 2019; 36 Kanse (ref_11) 2019; 28 Richardson (ref_29) 1972; 62 Liu (ref_43) 2019; 96 IJspeert (ref_26) 1991; 31 Burns (ref_10) 2019; 68 Hassan (ref_12) 2015; 65 Zhou (ref_24) 2014; 13 Christou (ref_37) 2004; 21 ref_22 ref_21 Reus (ref_6) 2016; 42 Mittal (ref_23) 2013; 22 Hope (ref_2) 1984; 29 ref_41 Vos (ref_28) 1999; 135 Ayers (ref_19) 1988; 13 Collados (ref_36) 2020; 28 Nourrit (ref_17) 2005; 7 ref_9 Blanco (ref_38) 2011; 19 Lozano (ref_33) 2004; 12 Kretz (ref_40) 2015; 8 Smith (ref_35) 2008; 85
References_xml	– volume: 42 start-page: 618 year: 2016 ident: ref_6 article-title: Comparison of ocular straylight after implantation of multifocal intraocular lenses publication-title: J. Cataract Refract. Surg. doi: 10.1016/j.jcrs.2016.02.022 – volume: 13 start-page: 600 year: 2014 ident: ref_24 article-title: Image Qualifty Assessment: From Error Visibility to Structural Similarity publication-title: IEEE Trans. Image Process. – volume: 22 start-page: 209 year: 2013 ident: ref_23 article-title: Making a Completely Blind Image Quality Analyzer publication-title: IEEE Signal Process. Lett. doi: 10.1109/LSP.2012.2227726 – volume: 72 start-page: 52 year: 1995 ident: ref_4 article-title: Analysis of intraocular straylight, especially in relation to age publication-title: Optom. Vis. Sci. doi: 10.1097/00006324-199502000-00003 – volume: 43 start-page: 1207 year: 2017 ident: ref_7 article-title: Light scattering levels from intraocular lenses extracted from donor eyes publication-title: J. Cataract Refract. Surg. doi: 10.1016/j.jcrs.2017.06.044 – volume: 62 start-page: 55 year: 1972 ident: ref_29 article-title: Bayesian-Based Iterative Method of Image Restoration publication-title: J. Opt. Soc. Am. doi: 10.1364/JOSA.62.000055 – volume: 31 start-page: 746 year: 2015 ident: ref_5 article-title: Straylight Measurements in Two Different Apodized Diffractive Multifocal Intraocular Lenses publication-title: J. Refract. Surg. doi: 10.3928/1081597X-20151021-03 – ident: ref_39 – volume: 15 start-page: 1 year: 2015 ident: ref_42 article-title: Effect of diabetic retinopathy and diabetes on the intraocular straylight in pseudophakic eyes publication-title: BMC Ophthalmol. doi: 10.1186/s12886-015-0120-1 – ident: ref_16 doi: 10.1117/1.3652709 – volume: 135 start-page: 1 year: 1999 ident: ref_28 article-title: Report on Disability Glare publication-title: CIE Collect. – ident: ref_18 – ident: ref_9 doi: 10.1371/journal.pone.0080106 – volume: 12 start-page: 2195 year: 2019 ident: ref_8 article-title: Straylight As The Result Of Refractive Correction publication-title: Clin. Ophthalmol. doi: 10.2147/OPTH.S224970 – ident: ref_21 doi: 10.1155/2013/154860 – volume: 7 start-page: 585 year: 2005 ident: ref_17 article-title: Blind deconvolution for high-resolution confocal scanning laser ophthalmoscopy publication-title: J. Opt. A Pure Appl. Opt. doi: 10.1088/1464-4258/7/10/010 – volume: 3 start-page: 39 year: 1984 ident: ref_27 article-title: Disability glare—A state of the art report publication-title: Comm. Int. l’Eclairage J. – volume: 96 start-page: 248 year: 2019 ident: ref_43 article-title: Optical quality and intraocular scattering in the diabetic eye wihtout diabetic retinopathy publication-title: Optom. Vis. Sci. doi: 10.1097/OPX.0000000000001360 – volume: 68 start-page: 1 year: 2019 ident: ref_10 article-title: Adaptive optics imaging of the human retina publication-title: Prog. Retin. Eye Res. doi: 10.1016/j.preteyeres.2018.08.002 – volume: 8 start-page: 5675 year: 2017 ident: ref_15 article-title: Deblurring adaptive optics retinal images using deep convolutional neural networks publication-title: Biomed. Opt. Express doi: 10.1364/BOE.8.005675 – volume: 65 start-page: 612 year: 2015 ident: ref_12 article-title: Retinal blood vessel segmenetation approach based on mathematical morphology publication-title: Proc. Comp. Sci. doi: 10.1016/j.procs.2015.09.005 – volume: 24 start-page: 1296 year: 2010 ident: ref_1 article-title: The effect of aberrations and scatter on image resolution assessed by adaptive optics retinal section imaging publication-title: J. Opt. Soc. Am. A Opt. Image Sci. Vis. doi: 10.1364/JOSAA.24.001296 – ident: ref_30 doi: 10.1086/111605 – volume: 12 start-page: 273 year: 2004 ident: ref_33 article-title: Real-Coded Memetic Algorithms with Crossover Hill-Climbing publication-title: Evol. Comput. doi: 10.1162/1063656041774983 – volume: 28 start-page: 11237 year: 2020 ident: ref_36 article-title: Wide-field direct ocular straylight meter publication-title: Opt. Express doi: 10.1364/OE.387940 – volume: 36 start-page: 918 year: 2019 ident: ref_14 article-title: Method to reduce undesired multiple fundus scattering effects in double-pass systems publication-title: J. Opt. Soc. Am. A Opt. Image Sci. Vis. doi: 10.1364/JOSAA.36.000918 – volume: 8 start-page: 736 year: 2015 ident: ref_40 article-title: High order aberration and straylight evaluation after cataract surgery with implantation of an aspheric, aberration correcting monofocal intraocular lens publication-title: Int. J. Ophthalmol. – ident: ref_34 doi: 10.1371/journal.pone.0243740 – volume: 29 start-page: 129 year: 1984 ident: ref_2 article-title: Night Myopia publication-title: Sur. Ophthalmol. doi: 10.1016/0039-6257(84)90169-3 – volume: 11 start-page: 144 year: 2018 ident: ref_3 article-title: The effect of spherical aberration on visual performance and refractive state for stimuli and tasks typical of night viewing publication-title: J. Optom. doi: 10.1016/j.optom.2017.10.003 – volume: 8 start-page: 679 year: 1986 ident: ref_25 article-title: A Computational Approach to Edge Detection publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.1986.4767851 – volume: 28 start-page: 43 year: 2019 ident: ref_11 article-title: Retinal fundus image for glaucoma detection: A review and study publication-title: J. Intell. Syst. – volume: 243 start-page: 124 year: 2011 ident: ref_32 article-title: Application of regularized Richardson-Lucy algorithm deconvolution of confocal microscopy images publication-title: J. Microsc. doi: 10.1111/j.1365-2818.2011.03486.x – ident: ref_41 doi: 10.1016/j.ajoc.2020.100857 – volume: 21 start-page: 1393 year: 2004 ident: ref_37 article-title: Deconvolution of adaptive optics retinal images publication-title: J. Opt. Soc. Am. A doi: 10.1364/JOSAA.21.001393 – ident: ref_22 doi: 10.1002/9781119238447 – volume: 19 start-page: 23227 year: 2011 ident: ref_38 article-title: Marginal blind deconvolution of adaptive optics retinal images publication-title: Opt. Express doi: 10.1364/OE.19.023227 – volume: 38 start-page: 611 year: 2008 ident: ref_13 article-title: Automatic segmentation of age-related macular degeneration in retinal fundus images publication-title: Comp. Biol. Med. doi: 10.1016/j.compbiomed.2008.02.008 – volume: 13 start-page: 547 year: 1988 ident: ref_19 article-title: Iterative blind deconvolution method and its applications publication-title: Opt. Lett. doi: 10.1364/OL.13.000547 – volume: 2 start-page: 58 year: 1995 ident: ref_20 article-title: Blind Deconvolution by means of Richardson-Lucy algorithm publication-title: J. Opt. Soc. Am. A doi: 10.1364/JOSAA.12.000058 – volume: 1 start-page: 113 year: 1974 ident: ref_31 article-title: Maximum Likelihood Reconstruction for Emission Tomography publication-title: IEEE Trans. Med. Imaging doi: 10.1109/TMI.1982.4307558 – volume: 31 start-page: 1361 year: 1991 ident: ref_26 article-title: Dependence of intraocular straylight on pigmentation and light transmission through the ocular wall publication-title: Vision Res. doi: 10.1016/0042-6989(91)90057-C – volume: 85 start-page: 330 year: 2008 ident: ref_35 article-title: Exploring ocular aberrations with a schematic human eye model publication-title: Optom. Vis. Sci. doi: 10.1097/OPX.0b013e31816c4449
SSID	ssj0001920199
Score	2.183687
Snippet	The optical quality of an image depends on both the optical properties of the imaging system and the physical properties of the medium in which the light...
SourceID	doaj pubmedcentral proquest crossref
SourceType	Open Website Open Access Repository Aggregation Database Enrichment Source Index Database
StartPage	73
SubjectTerms	Age Algorithms artificial intelligence blind deconvolution Cataracts Datasets Deconvolution Diabetes Diabetic retinopathy Edema Glare Glaucoma Image degradation Image quality Image restoration Image segmentation intraocular straylight Iterative methods Optical properties Performance evaluation Physical properties Point spread functions Retina Retinal images retinal imaging Richardson-Lucy deconvolution Sharpness Spatial data Stray light
SummonAdditionalLinks	– databaseName: Publicly Available Content Database dbid: PIMPY link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Nb9QwELVgy4EeKJ_qloKMxIGL2SZxbOeEWqBiJahWUFA5Rf5sg3aTdjetxL_vTNa7bZDgxDGJEzsZz_iN7bxHyOvAtVDBZUwIlDADD2Im9ykrUA4uKJ3zjr74x2d5dKROTopJ_D16EbdVrmJiF6iXbM-4bxuC8Mg1FmfMR2mOLDGQjRfvzi8YakjhWmsU1LhLNpB4a29ANibjL5OfN3MuBQx3RbFk-Mkg2x_9qmadGJDEviyz3uDUcfj3gGd_2-Stcehw6_--wUPyIOJRur_sQI_IHV8_Jpu3WAqfkHLcMS9DWGTHKCjhHf3mZxU7AITq6AfMqK9iB6b701OopD2b0bahGGsgSwY0S5EE9_cUJwJoVdOv-J811DqGz-IXT8n3w4_H7z-xqMvALBe8ZS4kxqRKmWCCNCFIp3JrXKK81Ln1e9bxzDqhUg7wJzNwqE3hFZwEuKHSLHtGBnVT-21Cc26C15KbRGgefNCJcC73LnAjNSRLQ_J2ZZDSRtJy1M6YlpC8oAXLPyw4JG_WN5wv-Tr-XvQALbwuhkTb3YlmflpGvy2hXcp6o6R0lqss0V6aAlJGwFEC0BQ8ZHdl7DJ6_6K8se2QvFpfBr_FxRhd--YSy-D6F6BxNSSy1696DepfqauzjgEc5aUACe_8u_Ln5H6KO3CQmVLskkE7v_QvyD171VaL-cvoHNdBIiab priority: 102 providerName: ProQuest
Title	Iterative-Trained Semi-Blind Deconvolution Algorithm to Compensate Straylight in Retinal Images
URI	https://www.proquest.com/docview/2531150939 https://www.proquest.com/docview/2567985078 https://pubmed.ncbi.nlm.nih.gov/PMC8321324 https://doaj.org/article/16a8ceb877dc4831ae7b925919060813
Volume	7
WOSCitedRecordID	wos000643126600001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2313-433X dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001920199 issn: 2313-433X databaseCode: DOA dateStart: 20150101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2313-433X dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001920199 issn: 2313-433X databaseCode: M~E dateStart: 20150101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 2313-433X dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001920199 issn: 2313-433X databaseCode: P5Z dateStart: 20151201 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2313-433X dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001920199 issn: 2313-433X databaseCode: BENPR dateStart: 20151201 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 2313-433X dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001920199 issn: 2313-433X databaseCode: PIMPY dateStart: 20151201 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3Pb9MwFH6CwQEOEz9F2KiMxIFLWJM4tnNcYROVoIrGQIVLZMf2lqlNUZtN4r_nvSSrGiTEhUMixXYU_3j2-57sfB_AG8-1UN4moRAkYYYzKDSpi8OM5OC80ilv6Yu_fZKzmZrPs3xH6ovOhHX0wF3HHUVCq9IZJaUtuUoi7aTJELOjIxPozlqez7HMdoKpqw634JV1XD4JxvVHV9Wylf2RZLUyGbihlq1_ADGHByR3PM7pI9jvoSI77qr4GO64-gk83CEQfArFtCVFxhUrPCetB2fZF7eswgmCR8s-ULB709sWO15crNZVc7lkzYrRMoABLAJNRvy0vxYUo7OqZmf0CzR-dYrtcJtn8PX05Pz9x7CXTAhLLngTWh8ZEytlvPHSeC-tSktjI-WkTks3Li1PSitUzBGZJAYftcmcwkREAipOkuewV69q9wJYyo13WnKDI8C98zoS1qbOem6kxjgmgHe3PViUPZ84yVosCowrqMuLP7o8gLfbF352VBp_LzqhIdkWIw7sNgEto-gto_iXZQRweDugRT8xN0WcEr3QOEuyAF5vs3FK0T6Jrt3qmsrQ1hQCZRWAHBjCoELDnLq6bMm5SfkJQerL_9GCA3gQ0xEaopYUh7DXrK_dK7hf3jTVZj2Cu3KuRnBvcjLLz0at_eM9T39gWj79nH__DVfBD-k
linkProvider	Directory of Open Access Journals
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3LbtNAFB1VKRKw4I0IFBgkkNiYxvbYM14g1FKqWk2jCAIqKzPP1iixS-IW9af4Ru517LRGgl0XLGOP49e5zxmfQ8hLx2QsnAm9OEYJM7AgT0U28BKUg3NCRqymL_4y5KORODxMxmvkV_stDC6rbH1i7ahNqbFHvhlEyAsD9Xfy7uSHh6pROLvaSmgsYbFvz39CybZ4m-7A-30VBLsfJu_3vEZVwNMsZpVnnK9UIIRyynHlHDci0sr4wnIZaTvQhoXaxCJgELxDBT-lSqyAjRAsRYANUHD56wzAPuiR9XF6MP560dVJIKAmyZJDKAyTweb3fFbLDXG0Fh52wl-tEtBJbbsLMy9Fut3b_9szukNuNTk13VoawV2yZot75OYlpsX7JEtr9mhw7d4ERTGsoZ_sLPe2Ics2dAe7AmeNEdKt6RHcVHU8o1VJ0V9CpQ8ZOUUi3_MpNjNoXtCP-K04nDWFB28XD8jnK7nDh6RXlIV9RGjElLOSM-XHkjnrpB8bE1njmOISCr4-edO-8kw3xOuo_zHNoABDjGR_YKRPXq8OOFlyjvx96DZiaDUMycLrDeX8KGt8TwbXJbRVgnOjmQh9ablKoOyFXDCGjBD-ZKOFU9Z4sEV2gaU-ebHaDb4HJ5RkYctTHINzeFBRiD7hHeR2Lqi7p8iPaxZzlMiCbP7xv0_-nFzfmxwMs2E62n9CbgS4ogiZNuMN0qvmp_YpuabPqnwxf9aYIiXfrhrZvwEd4ntK
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3LbtNAFB1VKUKw4I0IFBgkkNiY1PbYM14g1JBGRK2iqBTUnZlna5TYJXaL-mt8Hfc6dlojwa4LlrEnsZ059znjcwh57ZiMhTOhF8coYQYW5KnIBl6CcnBOyIjV9MVf9_l0Ko6OktkG-dW-C4PbKlufWDtqU2jskQ-CCHlhoP5OBq7ZFjEbjT-c_vBQQQpXWls5jRVE9uzFTyjfyveTEcz1myAY7x5-_OQ1CgOeZjGrPON8pQIhlFOOK-e4EZFWxheWy0jbbW1YqE0sAgaBPFTwUarECjgIgVME2AwF97_JQyh6emRzuDudHVx2eBIIrkmy4hMKw2R78D1b1NJDHC2Hh51QWCsGdNLc7ibNK1FvfPd__r_ukTtNrk13VsZxn2zY_AG5fYWB8SFJJzWrNLh87xDFMqyhn-0i84aQfRs6wm7BeWOcdGd-DA9VnSxoVVD0ozYvIVOnSPB7MccmB81yeoDvkMNVJzAJtnxEvlzLEz4mvbzI7RNCI6aclZwpP5bMWSf92JjIGscUl1AI9sm7dvpT3RCyoy7IPIXCDPGS_oGXPnm7_sLpiovk70OHiKf1MCQRrw8Uy-O08Ukp3JfQVgnOjWYi9KXlKoFyGHLEGDJF-JGtFlpp49nK9BJXffJqfRp8Ei40ydwWZzgG1_ag0hB9wjso7txQ90yendTs5iidBVn-039f_CW5CXBO9yfTvWfkVoAbjZCAM94ivWp5Zp-TG_q8ysrli8YqKfl23cD-DRbRg-Q
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Iterative-Trained+Semi-Blind+Deconvolution+Algorithm+to+Compensate+Straylight+in+Retinal+Images&rft.jtitle=Journal+of+imaging&rft.au=%C3%81vila%2C+Francisco+J.&rft.au=Ares%2C+Jorge&rft.au=Marcell%C3%A1n%2C+Mar%C3%ADa+C.&rft.au=Collados%2C+Mar%C3%ADa+V.&rft.date=2021-04-16&rft.pub=MDPI&rft.eissn=2313-433X&rft.volume=7&rft.issue=4&rft_id=info:doi/10.3390%2Fjimaging7040073&rft_id=info%3Apmid%2F34460523&rft.externalDocID=PMC8321324
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2313-433X&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2313-433X&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2313-433X&client=summon