TY - GEN
T1 - An information preserving data compression for X-ray CT images using MMSE denoising
AU - Ogo, Kazuki
AU - Tabuchi, Motohiro
AU - Yamane, Nobumoto
PY - 2013/12/1
Y1 - 2013/12/1
N2 - Image restoration methods based on a universal Gaussian mixture model (UNI-GMM) may realize minimum mean square error, under locally stationary assumption. Because the UNI-GMM appeared in the literatures observes the model in fixed size square blocks for simplicity, it has trade-off relation, i.e. large blocks become inconsistent to stationary assumption and small blocks diminish noise reduction performance. Arbitrary shaped observation block is known effective in this problem. In the case of UNI-GMM, multi-size observation block is under study to improve consistency of the locally stationary assumption. In this paper, this method is applied for information preserving X-ray CT image compression, in order to improve not only image quality but also compression rate in the diagnostic imaging systems, e.g. PACS system.
AB - Image restoration methods based on a universal Gaussian mixture model (UNI-GMM) may realize minimum mean square error, under locally stationary assumption. Because the UNI-GMM appeared in the literatures observes the model in fixed size square blocks for simplicity, it has trade-off relation, i.e. large blocks become inconsistent to stationary assumption and small blocks diminish noise reduction performance. Arbitrary shaped observation block is known effective in this problem. In the case of UNI-GMM, multi-size observation block is under study to improve consistency of the locally stationary assumption. In this paper, this method is applied for information preserving X-ray CT image compression, in order to improve not only image quality but also compression rate in the diagnostic imaging systems, e.g. PACS system.
KW - X-ray CT
KW - adaptive Wiener filter
KW - entropy
KW - lossless compression
KW - universal Gaussian mixture distribution model
UR - http://www.scopus.com/inward/record.url?scp=84892634860&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84892634860&partnerID=8YFLogxK
U2 - 10.1109/GCCE.2013.6664878
DO - 10.1109/GCCE.2013.6664878
M3 - Conference contribution
AN - SCOPUS:84892634860
SN - 9781479908929
T3 - 2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013
SP - 43
EP - 47
BT - 2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013
T2 - 2013 IEEE 2nd Global Conference on Consumer Electronics, GCCE 2013
Y2 - 1 October 2013 through 4 October 2013
ER -