mycoreobjectrosdok_disshab_0000001910rosdok_disshab_0000001910rosdokdisshabrosdok_derivate_00000444742023-08-08T10:08:58.505Z2018-06-26T08:44:35.332ZadministratoreditorDpublished1rosdok_derivate_0000044474truetruederivate_types:fulltextVolltextfulltextwf_edit_epub wf_register_epubstate:publishedstate:publishedveröffentlichtpublishedrosdok/id000020881025383222MODS updated during RosDok migration in June 2021DissertationHochschulschrift1161750770FahimehFarhadifard1985-VerfasserInautUnderwater image restorationsuper-resolution and deblurring via sparse representation and denoising by means of marine snow removalen132788357Prof. Dr. -IngBodoUrbanRostock, Fraunhofer IGDAkademischeR BetreuerIndgs128388951Prof. Dr. -IngUweFreiherr von LukasRostock, Fraunhofer IGDAkademischeR BetreuerIndgs1015521614Prof. Dr. -IngReinhardKochChristian-Albrechts-Universitaet zu KielAkademischeR BetreuerIndgs10085032-7Universität RostockFakultät für Informatik und ElektrotechnikGrad-verleihende Institutiondgg10.18453/rosdok_id00002088http://purl.uni-rostock.de/rosdok/id00002088urn:nbn:de:gbv:28-diss2018-0082-2000 Allgemeines, Wissenschaft004 InformatikFakultät für Informatik und Elektrotechnikfrei zugänglich (Open Access)Lizenz Metadaten: CC0Nutzungsrechte erteiltalle Rechte vorbehaltenUniversität RostockRostock2018monographic20182018Universitätsbibliothek RostockRostock20182018Underwater imaging has been widely used as a tool in many fields, however, a major issue is the quality of the resulting images/videos. Due to the light's interaction with water and its constituents, the acquired underwater images/videos often suffer from a significant amount of scatter (blur, haze) and noise. In the light of these issues, this thesis considers problems of low-resolution, blurred and noisy underwater images and proposes several approaches to improve the quality of such images/video frames. Quantitative and qualitative experiments validate the success of proposed algorithms.image restorationimage super-resolutionimage deblurringmarine snow removalUniversitätsbibliothek Rostockhttp://purl.uni-rostock.de/rosdok/id00002088doctype:epubdoctype:epubDokumenttypDocument typedoctype:epub.dissertationdoctype:epub.dissertationDissertationdoctoral thesisdiniPublType:doctoralThesis diniPublType2022:PhDThesis XMetaDissPlusThesisLevel:thesis.doctoralinfo:eu-repo/semantics/doctoralThesisdocumentnatureOfContent:ppn_105825778natureOfContent:ppn_105825778HochschulschriftdiniPublType2022:DoctoralThesisdiniPublType2022:DoctoralThesisDissertation oder HabilitationDoctoral thesisDRIVERdiniPublType2022:PhDThesisdiniPublType2022:PhDThesisDissertationPhD thesisKDSF (Pu34)XMetaDissPlusThesisLevel:thesis.doctoralXMetaDissPlusThesisLevel:thesis.doctoralDoktorarbeitdoctoral thesisrfc5646:enrfc5646:enEnglischEnglishengengSDNB:000SDNB:000000 Allgemeines, Wissenschaft000 Generalities, ScienceSDNB:004SDNB:004004 Informatik004 Data processing Computer sciencesinstitution:unirostockinstitution:unirostockUniversität RostockUniversity of RostockUniversität RostockUniversität RostockUni.Rostockhttp://d-nb.info/gnd/38329-6institution:unirostock.iefinstitution:unirostock.iefFakultät für Informatik und ElektrotechnikFaculty of Computer Science and Electrical EngineeringUniversität Rostock. Fakultät für Informatik und ElektrotechnikFakultät für Informatik<br />und ElektrotechnikUni.Rostock.Fakultaet.IEFhttp://d-nb.info/gnd/10085032-7accesscondition:openaccessaccesscondition:openaccessfrei zugänglich (Open Access)open accesshttp://purl.org/coar/access_right/c_abf2OAfreeinfo:eu-repo/semantics/openAccess[DE-28]Open Access$gControlled Vocabulary for Access Rights$uhttp://purl.org/coar/access_right/c_abf2licenseinfo:metadatalicenseinfo:metadataLizenzen für Metadatenlicenseinfo:metadata.cc0licenseinfo:metadata.cc0Lizenz Metadaten: CC0license metadata: CC0/creativecommons/p/zero/1.0/88x31.pnghttps://creativecommons.org/publicdomain/zero/1.0/licenseinfo:depositlicenseinfo:depositVeröffentlichungsgenehmigungpermission to storelicenseinfo:deposit.rightsgrantedlicenseinfo:deposit.rightsgrantedNutzungsrechte erteiltrights grantedlicenseinfo:worklicenseinfo:workWerkworklicenseinfo:work.rightsreservedlicenseinfo:work.rightsreservedalle Rechte vorbehaltenall rights reserved/creativecommons/r/reserved/0.9/88x31.png[DE-28]Urheberrechtsschutz 1.0$gRights Statements$uhttp://rightsstatements.org/vocab/InC/1.0/http://rightsstatements.org/vocab/InC/1.0/http://rightsstatements.org/vocab/InC/1.0/Underwater image restorationsuper-resolution and deblurring via sparse representation and denoising by means of marine snow removalUnderwater image restorationsuper-resolution and deblurring via sparse representation and denoising by means of marine snow removalgnd:1161750770gnd:132788357gnd:128388951gnd:1015521614gnd:10085032-7gnd:1161750770gnd:132788357gnd:128388951gnd:1015521614gnd:10085032-7rosdok_disshab_0000001910-d752734e39gnd:1161750770Fahimeh FarhadifardFahimeh Farhadifardrosdok_disshab_0000001910-d752734e61gnd:132788357Prof. Dr. -Ing Bodo UrbanProf. Dr. -Ing Bodo Urbanrosdok_disshab_0000001910-d752734e76gnd:128388951Prof. Dr. -Ing Uwe Freiherr von LukasProf. Dr. -Ing Uwe Freiherr von Lukasrosdok_disshab_0000001910-d752734e91gnd:1015521614Prof. Dr. -Ing Reinhard KochProf. Dr. -Ing Reinhard Kochrosdok_disshab_0000001910-d752734e107gnd:10085032-7Universität Rostock Fakultät für Informatik und ElektrotechnikUniversität Rostock Fakultät für Informatik und ElektrotechnikFahimeh FarhadifardProf. Dr. -Ing Bodo UrbanProf. Dr. -Ing Uwe Freiherr von LukasProf. Dr. -Ing Reinhard KochUniversität Rostock Fakultät für Informatik und ElektrotechnikFahimeh FarhadifardProf. Dr. -Ing Bodo UrbanProf. Dr. -Ing Uwe Freiherr von LukasProf. Dr. -Ing Reinhard KochUniversität Rostock Fakultät für Informatik und ElektrotechnikFahimeh FarhadifardRostockUniversität Rostockepub.dissertation10.18453/rosdok_id00002088http://purl.uni-rostock.de/rosdok/id00002088urn:nbn:de:gbv:28-diss2018-0082-2image restorationimage super-resolutionimage deblurringmarine snow removalUnderwater imaging has been widely used as a tool in many fields, however, a major issue is the quality of the resulting images/videos. Due to the light's interaction with water and its constituents, the acquired underwater images/videos often suffer from a significant amount of scatter (blur, haze) and noise. In the light of these issues, this thesis considers problems of low-resolution, blurred and noisy underwater images and proposes several approaches to improve the quality of such images/video frames. Quantitative and qualitative experiments validate the success of proposed algorithms.20182018epub.dissertation1 Dissertation_Farhadifard_2017.pdf 99924352 ae709af2135e106d15daaa0b214e3b7b rosdok/id000020881025383222MODS updated during RosDok migration in June 2021DissertationHochschulschrift1161750770FahimehFarhadifard1985-VerfasserInautUnderwater image restorationsuper-resolution and deblurring via sparse representation and denoising by means of marine snow removalen132788357Prof. Dr. -IngBodoUrbanRostock, Fraunhofer IGDAkademischeR BetreuerIndgs128388951Prof. Dr. -IngUweFreiherr von LukasRostock, Fraunhofer IGDAkademischeR BetreuerIndgs1015521614Prof. Dr. -IngReinhardKochChristian-Albrechts-Universitaet zu KielAkademischeR BetreuerIndgs10085032-7Universität RostockFakultät für Informatik und ElektrotechnikGrad-verleihende Institutiondgg10.18453/rosdok_id00002088http://purl.uni-rostock.de/rosdok/id00002088urn:nbn:de:gbv:28-diss2018-0082-2000 Allgemeines, Wissenschaft004 InformatikFakultät für Informatik und Elektrotechnikfrei zugänglich (Open Access)Lizenz Metadaten: CC0Nutzungsrechte erteiltalle Rechte vorbehaltenUniversität RostockRostock2018monographic20182018Universitätsbibliothek RostockRostock20182018Underwater imaging has been widely used as a tool in many fields, however, a major issue is the quality of the resulting images/videos. Due to the light's interaction with water and its constituents, the acquired underwater images/videos often suffer from a significant amount of scatter (blur, haze) and noise. In the light of these issues, this thesis considers problems of low-resolution, blurred and noisy underwater images and proposes several approaches to improve the quality of such images/video frames. 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Due to the light's interaction with water and its constituents, the acquired underwater images/videos often suffer from a significant amount of scatter (blur, haze) and noise. In the light of these issues, this thesis considers problems of low-resolution, blurred and noisy underwater images and proposes several approaches to improve the quality of such images/video frames. Quantitative and qualitative experiments validate the success of proposed algorithms.20182018[xslt]Saxonrosdok/id00002088https://purl.uni-rostock.de/rosdok/id00002088102538322210.18453/rosdok_id00002088urn:nbn:de:gbv:28-diss2018-0082-2Fahimeh FarhadifardFarhadifard FahimehUnderwater image restoration : super-resolution and deblurring via sparse representation and denoising by means of marine snow removalDissertationdoctoral thesisUniversität Rostock, 2018Underwater imaging has been widely used as a tool in many fields, however, a major issue is the quality of the resulting images/videos. Due to the light's interaction with water and its constituents, the acquired underwater images/videos often suffer from a significant amount of scatter (blur, haze)…Fahimeh FarhadifardUnderwater image restorationsuper-resolution and deblurring via sparse representation and denoising by means of marine snow removalUniversitätsbibliothek Rostockhttp://purl.uni-rostock.de/rosdok/id000020881161750770FahimehFarhadifard1985-VerfasserInaut132788357Prof. Dr. -IngBodoUrbanRostock, Fraunhofer IGDAkademischeR BetreuerIndgs128388951Prof. Dr. -IngUweFreiherr von LukasRostock, Fraunhofer IGDAkademischeR BetreuerIndgs1015521614Prof. Dr. -IngReinhardKochChristian-Albrechts-Universitaet zu KielAkademischeR BetreuerIndgs10085032-7Universität RostockFakultät für Informatik und ElektrotechnikGrad-verleihende Institutiondgg[doi]10.18453/rosdok_id00002088[purl]http://purl.uni-rostock.de/rosdok/id00002088[urn]urn:nbn:de:gbv:28-diss2018-0082-2open_access20182018epoch:21th_centuryrfc5646:endoctype:epub.dissertationaccesscondition:openaccessSDNB:000SDNB:004institution:unirostock.iefstate:published