Compression of the CT images using classified energy and pattern blocks

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dc.authorid0000-0002-4488-1642
dc.authorid0000-0002-7286-3943
dc.authorid0000-0002-4597-0954
dc.authorid0000-0002-7008-4778
dc.authorid0000-0003-1562-5524
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.accessioned2015-07-14T23:46:48Z
dc.date.available2015-07-14T23:46:48Z
dc.date.issued2013
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
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.sponsorshipResearch supported by ISTANBUL University (Project Number: 16806)en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationGökbay, İ. Z., Gezer, M., Güz, Ü., Gürkan, H. & Yarman, B. S. B. (2013). Compression of the CT images using classified energy and pattern blocks. Paper presented at the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 6462-6465. doi:10.1109/EMBC.2013.6611034en_US
dc.identifier.doi10.1109/EMBC.2013.6611034
dc.identifier.endpage6465
dc.identifier.isbn9781457702167
dc.identifier.issn1557-170X
dc.identifier.issn1094-687X
dc.identifier.pmid24111221
dc.identifier.scopus2-s2.0-84886557552
dc.identifier.scopusqualityN/A
dc.identifier.startpage6462
dc.identifier.urihttps://hdl.handle.net/11729/598
dc.identifier.urihttp://dx.doi.org/10.1109/EMBC.2013.6611034
dc.identifier.wosWOS:000341702106212
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.indekslendigikaynakConference Proceedings Citation Index – Science (CPCI-S)en_US
dc.institutionauthorGüz, Ümiten_US
dc.institutionauthorGürkan, Hakanen_US
dc.institutionauthorYarman, Bekir Sıddık Binboğaen_US
dc.institutionauthorid0000-0002-4597-0954
dc.institutionauthorid0000-0002-7008-4778
dc.institutionauthorid0000-0003-1562-5524
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEEen_US
dc.relation.ispartof2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectComputed tomographyen_US
dc.subjectImage codingen_US
dc.subjectImage reconstructionen_US
dc.subjectMedical diagnostic imagingen_US
dc.subjectPSNRen_US
dc.subjectVectorsen_US
dc.subjectCEPB based compression methoden_US
dc.subjectCT image compressionen_US
dc.subjectBiomedical image compression methoden_US
dc.subjectBlock scaling coefficienten_US
dc.subjectClassified energy blocksen_US
dc.subjectCommunication systemen_US
dc.subjectComputed tomography imageen_US
dc.subjectDecoding processesen_US
dc.subjectEncoding parametersen_US
dc.subjectEnergy index numbersen_US
dc.subjectImage qualityen_US
dc.subjectPattern blocksen_US
dc.subjectReceiveren_US
dc.subjectTransmitteren_US
dc.subjectComputerised tomographyen_US
dc.subjectMedical image processingen_US
dc.titleCompression of the CT images using classified energy and pattern blocksen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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