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  • Mühendislik Fakültesi / Faculty of Engineering
  • Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
  • MF - Bildiri Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
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A novel computed tomography image compression method based on classified energy and pattern blocks

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Date

2013

Author

Gökbay, İnci Zaim
Gezer, Murat
Güz, Ümit
Gürkan, Hakan
Yarman, Bekir Sıddık Binboğa

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Citation

Gökbay, 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.2013.6651267

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.

Source

International Symposium on Signals, Circuits and Systems ISSCS2013

URI

https://hdl.handle.net/11729/1641
http://dx.doi.org/10.1109/ISSCS.2013.6651267

Collections

  • MF - Bildiri Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering [222]
  • Scopus İndeksli Bildiri Koleksiyonu [452]
  • WoS İndeksli Bildiri Koleksiyonu [353]

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