Compression of the CT Images Using Classified Energy and Pattern Blocks

Gokbay I. Z., Gezer M., GÜZ Ü., GÜRKAN H., Yarman B. S.

35th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Osaka, Japonya, 3 - 07 Temmuz 2013, ss.6462-6465 identifier identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/embc.2013.6611034
  • Basıldığı Şehir: Osaka
  • Basıldığı Ülke: Japonya
  • Sayfa Sayıları: ss.6462-6465
  • İstanbul Üniversitesi Adresli: Evet

Özet

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.