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A novel computed tomography image compression method based on classified energy and pattern blocks

dc.contributor.authorGökbay, İnci Zaimen_US
dc.contributor.authorGezer, Muraten_US
dc.contributor.authorGüz, Ümiten_US
dc.contributor.authorGürkan, Hakanen_US
dc.contributor.authorYarman, Bekir Sıddık Binboğaen_US
dc.date.accessioned2019-06-27T19:57:27Z
dc.date.available2019-06-27T19:57:27Z
dc.date.issued2013
dc.identifier.citationGökbay, İ. Z., Gezer, M., Güz, Ü., Gürkan, H. & Yarman, B. S. B. (2013). A novel computed tomography image compression method based on classified energy and pattern blocks. Paper presented at the International Symposium on Signals, Circuits and Systems ISSCS2013, 1-4. doi:10.1109/ISSCS.2013.6651267en_US
dc.identifier.isbn9781467361415
dc.identifier.isbn9781479931934
dc.identifier.isbn9781467361439
dc.identifier.urihttps://hdl.handle.net/11729/1641
dc.identifier.urihttp://dx.doi.org/10.1109/ISSCS.2013.6651267
dc.description.abstractIn this work, a new biomedical image compression method is proposed based on the classified energy and pattern blocks (CEPB). CEPB based compression method is specifically applied on the Computed Tomography (CT) images and the evaluation results are presented. Essentially, the CEPB is uniquely designed and structured codebook which is located on the both the transmitter and receiver part of a communication system in order to implement encoding and decoding processes. The encoding parameters are block scaling coefficient (BSC) and the index numbers of energy (IE) and pattern blocks (IP) determined for each block of the input images based on the CEPB. The evaluation results show that the newly proposed method provides considerable image compression ratios and image quality.en_US
dc.description.sponsorshipThe research work was supported by The Scientific Research Fund of Istanbul University (Project Number: 16806)en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/ISSCS.2013.6651267
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCT imageen_US
dc.subjectImage compressionen_US
dc.subjectClassified energy and pattern blocksen_US
dc.subjectImage codingen_US
dc.subjectComputed tomographyen_US
dc.subjectImage reconstructionen_US
dc.subjectVectorsen_US
dc.subjectPSNRen_US
dc.subjectMedical diagnostic imagingen_US
dc.subjectComputerised tomographyen_US
dc.subjectMedical image processingen_US
dc.subjectComputed tomography image compressionen_US
dc.subjectClassified energy-and-pattern blocken_US
dc.subjectBiomedical image compressionen_US
dc.subjectCEPB based compression methoden_US
dc.subjectStructured codebooken_US
dc.subjectEncoding processen_US
dc.subjectDecoding processen_US
dc.subjectBlock scaling coefficienten_US
dc.subjectBSCen_US
dc.subjectIndex numbers of energyen_US
dc.subjectImage compression ratioen_US
dc.subjectImage qualityen_US
dc.titleA novel computed tomography image compression method based on classified energy and pattern blocksen_US
dc.typeconferenceObjecten_US
dc.description.versionPublisher's Versionen_US
dc.relation.journalInternational Symposium on Signals, Circuits and Systems ISSCS2013en_US
dc.contributor.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.contributor.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.contributor.authorID0000-0002-7008-4778
dc.contributor.authorID0000-0002-4597-0954
dc.identifier.startpage1
dc.identifier.endpage4
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorGüz, Ümiten_US
dc.contributor.institutionauthorGürkan, Hakanen_US
dc.relation.indexWOSen_US
dc.relation.indexScopusen_US
dc.relation.indexConference Proceedings Citation Index – Science (CPCI-S)en_US
dc.description.wosidWOS:000337926700100


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