TY - JOUR
T1 - Adaptive wavelet technique for effective storage and fast internet transmission of medical images
AU - Kustov, V.
AU - Srinivasan, P.
AU - Mitra, S.
AU - Shishkin, S.
AU - Mehrl, D.
PY - 2000
Y1 - 2000
N2 - Medical imaging is characterized by strict requirements and high standards for image acquisition, storage, and processing. These requirements and standards translate into large image files that need to be processed, stored and transmitted fast, preferably in real time. The wavelet decomposition using the adaptive algorithm described below maximizes information in the traditional low-resolution part, thus allowing only one fourth of the size of the original image to be processed for effective archiving, and transmission without appreciable loss.
AB - Medical imaging is characterized by strict requirements and high standards for image acquisition, storage, and processing. These requirements and standards translate into large image files that need to be processed, stored and transmitted fast, preferably in real time. The wavelet decomposition using the adaptive algorithm described below maximizes information in the traditional low-resolution part, thus allowing only one fourth of the size of the original image to be processed for effective archiving, and transmission without appreciable loss.
UR - http://www.scopus.com/inward/record.url?scp=0033684595&partnerID=8YFLogxK
U2 - 10.1109/CBMS.2000.856903
DO - 10.1109/CBMS.2000.856903
M3 - Article
AN - SCOPUS:0033684595
SN - 1063-7125
SP - 221
EP - 226
JO - Proceedings of the IEEE Symposium on Computer-Based Medical Systems
JF - Proceedings of the IEEE Symposium on Computer-Based Medical Systems
ER -