• DocumentCode
    3212833
  • Title

    Compression of the CT images using classified energy and pattern blocks

  • Author

    Gokbay, Inci Zaim ; Gezer, Murat ; Guz, Umit ; Gurkan, Hakan ; Yarman, B.S.

  • Author_Institution
    Dept. of Mechatron., Bahcesehir Univ., Istanbul, Turkey
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    6462
  • Lastpage
    6465
  • Abstract
    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.
  • Keywords
    computerised tomography; image coding; medical image processing; receivers; transmitters; CEPB based compression method; CT image compression; biomedical image compression method; block scaling coefficient; classified energy blocks; communication system; computed tomography image; decoding processes; encoding parameters; energy index numbers; image quality; pattern blocks; receiver; transmitter; Computed tomography; Image coding; Image reconstruction; Medical diagnostic imaging; PSNR; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6611034
  • Filename
    6611034