Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2014
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dc.contributor.authorUfuk, Derviş Utku-
dc.contributor.authorTemizel, A.-
dc.contributor.authorÖzbayoğlu, Ahmet Murat-
dc.date.accessioned2019-07-10T14:42:46Z
dc.date.available2019-07-10T14:42:46Z
dc.date.issued2018-12-24
dc.identifier.citationUfuk, D. U., Temizel, A., & Özbayoglu, A. M. (2018, October). Optimized GPU Implementation of JPEG 2000 for Satellite Image Decompression. In 2018 IEEE International Conference on Computational Science and Engineering (CSE) (pp. 56-61). IEEE.en_US
dc.identifier.isbn978-153867648-6
dc.identifier.urihttps://ieeexplore.ieee.org/document/8588218-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/2014-
dc.description21st IEEE International Conference on Computational Science and Engineering (2018 : Romania)
dc.description.abstractJPEG 2000 is a powerful yet computationally complex image compression algorithm which is widely used in remote sensing applications. In this work, we focus on speeding-up the decompression algorithm by applying various GPU optimization techniques. We have conducted numerous experiments on high-resolution satellite images in two operational modes; a syn-chronous mode and an asynchronous batch mode. We share our experiment results and make performance evaluations regarding each operational mode and optimization method separately. Finally we propose an optimized GPU architecture for satellite image decompression and compare the achieved performance with a multi-threaded CPU architecture. © 2018 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings - 21st IEEE International Conference on Computational Science and Engineeringen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectImage compressionen_US
dc.subjectField programmable gate arrays (FPGA)en_US
dc.subjectImage codingen_US
dc.titleOptimized GPU implementation of JPEG 2000 for satellite image decompressionen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.startpage56
dc.identifier.endpage61
dc.authorid0000-0001-7998-5735-
dc.identifier.wosWOS:000458738400007en_US
dc.identifier.scopus2-s2.0-85061036532en_US
dc.institutionauthorÖzbayoğlu, Ahmet Murat-
dc.identifier.doi10.1109/CSE.2018.00014-
dc.authorwosidH-2328-2011-
dc.authorscopusid6505999525-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.openairetypeConference Object-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
crisitem.author.dept02.1. Department of Artificial Intelligence Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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