A novel computed tomography image compression method based on classified energy and pattern blocks

Yükleniyor...
Küçük Resim

Tarih

2013

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

IEEE

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Araştırma projeleri

Organizasyon Birimleri

Dergi sayısı

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