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Start date: 2010End date: 2019Type: search.filters.itemtype.Conference PaperHas files: NoSubject: search.filters.subject.AlgorithmsSubject: search.filters.subject.algorithmAuthor: search.filters.author.Gezer, Murat

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    Compression of the CT images using classified energy and pattern blocks
    (2013) Gökbay, İnci Zaim; Gezer, Murat; Güz, Ümit; Gürkan, Hakan; Yarman, Binboǧa Siddik; Gökbay, İnci Zaim, Department of Mechanics, Bahçeşehir Üniversitesi, Istanbul, Turkey; Gezer, Murat, Department of Informatics, Istanbul Üniversitesi, Istanbul, Turkey; Güz, Ümit, Department of Electrical and Electronic Engineering, Işik Üniversitesi, Istanbul, Turkey; Gürkan, Hakan, Department of Electrical and Electronic Engineering, Işik Üniversitesi, Istanbul, Turkey; Yarman, Binboǧa Siddik, Department of Electrical and Electronic Engineering, Işik Üniversitesi, Istanbul, Turkey
    In 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. © 2013 IEEE. © 2013 Elsevier B.V., All rights reserved.