Compression of the CT images using classified energy and pattern blocks
Yükleniyor...
Dosyalar
Tarih
2013
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
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.
Açıklama
Anahtar Kelimeler
Computed tomography, Image coding, Image reconstruction, Medical diagnostic imaging, PSNR, Vectors, 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, Computerised tomography, Medical image processing
Kaynak
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Gökbay, İ. Z., Gezer, M., Güz, Ü., Gürkan, H. & Yarman, B. S. B. (2013). Compression of the CT images using classified energy and pattern blocks. Paper presented at the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 6462-6465. doi:10.1109/EMBC.2013.6611034