Compressed sensing based image denoising: novel patch-based collaborative algorithms

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: unknown (author)
التنسيق: masterThesis
منشور في: 2020
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/140190/1/MS_Thesis_MBehzad.pdf
الوسوم: إضافة وسم
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author unknown
author_facet unknown
author_role author
dc.creator.*.fl_str_mv unknown
dc.date.*.fl_str_mv 2020
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/140190/1/MS_Thesis_MBehzad.pdf
Compressed sensing based image denoising: novel patch-based collaborative algorithms. Masters thesis, King Fahd University of Petroleum and Minerals.
dc.language.none.fl_str_mv en
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/140190/
dc.rights.none.fl_str_mv cc_by_nc_nd
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
Systems
Seminars
Geotechnical Engineering
Transportation Engineering
Engineering
General
Research
Engineering
Physics
Aerospace
Electrical
Enhanced Oil Recovery
dc.title.none.fl_str_mv Compressed sensing based image denoising: novel patch-based collaborative algorithms
dc.type.none.fl_str_mv Thesis
NonPeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/masterThesis
eu_rights_str_mv openAccess
format masterThesis
id KFUPM_3c73c987c5b9d8633583f96403b1c18e
identifier_str_mv Compressed sensing based image denoising: novel patch-based collaborative algorithms. Masters thesis, King Fahd University of Petroleum and Minerals.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::140190
publishDate 2020
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv cc_by_nc_nd
spelling Compressed sensing based image denoising: novel patch-based collaborative algorithmsComputerSystemsSeminarsGeotechnical EngineeringTransportation EngineeringEngineeringGeneralResearchEngineeringPhysicsAerospaceElectricalEnhanced Oil RecoveryThesisNonPeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/140190/1/MS_Thesis_MBehzad.pdf Compressed sensing based image denoising: novel patch-based collaborative algorithms. Masters thesis, King Fahd University of Petroleum and Minerals. enhttps://eprints.kfupm.edu.sa/id/eprint/140190/cc_by_nc_ndinfo:eu-repo/semantics/openAccess2020unknownoai::1401902019-11-01T16:36:35Z
spellingShingle Compressed sensing based image denoising: novel patch-based collaborative algorithms
unknown
Computer
Systems
Seminars
Geotechnical Engineering
Transportation Engineering
Engineering
General
Research
Engineering
Physics
Aerospace
Electrical
Enhanced Oil Recovery
status_str publishedVersion
title Compressed sensing based image denoising: novel patch-based collaborative algorithms
title_full Compressed sensing based image denoising: novel patch-based collaborative algorithms
title_fullStr Compressed sensing based image denoising: novel patch-based collaborative algorithms
title_full_unstemmed Compressed sensing based image denoising: novel patch-based collaborative algorithms
title_short Compressed sensing based image denoising: novel patch-based collaborative algorithms
title_sort Compressed sensing based image denoising: novel patch-based collaborative algorithms
topic Computer
Systems
Seminars
Geotechnical Engineering
Transportation Engineering
Engineering
General
Research
Engineering
Physics
Aerospace
Electrical
Enhanced Oil Recovery
url https://eprints.kfupm.edu.sa/id/eprint/140190/1/MS_Thesis_MBehzad.pdf