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

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dc.authorid0000-0002-4597-0954
dc.contributor.authorGüz, Ümiten_US
dc.date.accessioned2015-01-15T23:01:52Z
dc.date.available2015-01-15T23:01:52Z
dc.date.issued2011
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 paper, a novel image compression method based on generation of the so-called classified energy and pattern blocks (CEPB) is introduced and evaluation results are presented. The CEPB is constructed using the training images and then located at both the transmitter and receiver sides of the communication system. Then the energy and pattern blocks of input images to be reconstructed are determined by the same way in the construction of the CEPB. This process is also associated with a matching procedure to determine the index numbers of the classified energy and pattern blocks in the CEPB which best represents (matches) the energy and pattern blocks of the input images. Encoding parameters are block scaling coefficient and index numbers of energy and pattern blocks determined for each block of the input images. These parameters are sent from the transmitter part to the receiver part and the classified energy and pattern blocks associated with the index numbers are pulled from the CEPB. Then the input image is reconstructed block by block in the receiver part using a mathematical model that is proposed. Evaluation results show that the method provides considerable image compression ratios and image quality even at low bit rates.en_US
dc.description.sponsorshipThe work described in this paper was funded by the Isik University Scientific Research Fund (Project contract no. 10B301). The author would like to thank to Professor B. S. Yarman (Istanbul University, College of Engineering, Department of Electrical-Electronics Engineering), Assistant Professor Hakan Gurkan (Isik University, Engineering Faculty, Department of Electrical-Electronics Engineering), the researchers in the International Computer Science Institute (ICSI), Speech Group, University of California at Berkeley, CA, USA and the researchers in the SRI International, Speech Technology and Research (STAR) Laboratory, Menlo Park, CA, USA for many helpful discussions on this work during his postdoctoral fellow years. The author also would like to thank the anonymous reviewers for their valuable comments and suggestions which substantially improved the quality of this paperen_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationGüz, Ü. (2011). A novel image compression method based on classified energy and pattern building blocks. Eurasip Journal on Advances in Signal Processing, 2011, 1-20. doi:10.1155/2011/730694en_US
dc.identifier.doi10.1155/2011/730694
dc.identifier.endpage20
dc.identifier.issn1687-6180
dc.identifier.scopus2-s2.0-79959196018
dc.identifier.scopusqualityQ2
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11729/423
dc.identifier.urihttp://dx.doi.org/10.1155/2011/730694
dc.identifier.volume2011
dc.identifier.wosWOS:000298949800001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorGüz, Ümiten_US
dc.institutionauthorid0000-0002-4597-0954
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherSpringer International Publishing AGen_US
dc.relation.ispartofEURASIP Journal on Advances in Signal Processingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPrincipal Component Extractionen_US
dc.subjectWavelet Transformen_US
dc.subjectSpaceen_US
dc.subjectElectrocardiographyen_US
dc.subjectData compressionen_US
dc.subjectSignal compressionen_US
dc.subjectBuilding blockesen_US
dc.subjectEncoding parametersen_US
dc.subjectEvaluation resultsen_US
dc.subjectImage compression methodsen_US
dc.subjectIndex numbersen_US
dc.subjectInput imageen_US
dc.subjectLow bit rateen_US
dc.subjectScaling coefficientsen_US
dc.subjectTraining imageen_US
dc.subjectTransmitter and receiveren_US
dc.subjectCommunication systemsen_US
dc.subjectImage codingen_US
dc.subjectImage qualityen_US
dc.subjectMathematical modelsen_US
dc.subjectTransmittersen_US
dc.subjectImage compressionen_US
dc.titleA novel image compression method based on classified energy and pattern building blocksen_US
dc.typeArticleen_US
dspace.entity.typePublication

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