DocumentCode
3212833
Title
Compression of the CT images using classified energy and pattern blocks
Author
Gokbay, Inci Zaim ; Gezer, Murat ; Guz, Umit ; Gurkan, Hakan ; Yarman, B.S.
Author_Institution
Dept. of Mechatron., Bahcesehir Univ., Istanbul, Turkey
fYear
2013
fDate
3-7 July 2013
Firstpage
6462
Lastpage
6465
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.
Keywords
computerised tomography; image coding; medical image processing; receivers; transmitters; 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; Computed tomography; Image coding; Image reconstruction; Medical diagnostic imaging; PSNR; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location
Osaka
ISSN
1557-170X
Type
conf
DOI
10.1109/EMBC.2013.6611034
Filename
6611034
Link To Document