A novel computed tomography image compression method based on 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
CT image, Image compression, Classified energy and pattern blocks, Image coding, Computed tomography, Image reconstruction, Vectors, PSNR, Medical diagnostic imaging, Computerised tomography, Medical image processing, Computed tomography image compression, Classified energy-and-pattern block, Biomedical image compression, CEPB based compression method, Structured codebook, Encoding process, Decoding process, Block scaling coefficient, BSC, Index numbers of energy, Image compression ratio, Image quality
Kaynak
International Symposium on Signals, Circuits and Systems ISSCS2013
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). 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