Adaptive wavelet technique for effective storage and fast Internet transmission of medical images

Author

Kustov, V. ; Srinivasan, P. ; Mitra, S. ; Shishkin, S. ; Mehri, D.

Author_Institution

Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA

fYear

2000

fDate

2000

Firstpage

221

Lastpage

226

Abstract

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. Wavelet decomposition, using the adaptive algorithm described in this paper, maximizes the 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

Keywords

Internet; adaptive signal processing; biomedical communication; data compression; image coding; medical image processing; medical information systems; visual communication; visual databases; wavelet transforms; adaptive wavelet technique; fast Internet transmission; image acquisition; image archiving; image compression; image file size; low-resolution information maximization; medical image storage; medical image transmission; real-time transmission; standards; wavelet decomposition; Biomedical imaging; Image storage; Internet;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems, 2000. CBMS 2000. Proceedings. 13th IEEE Symposium on

Conference_Location

Houston, TX

ISSN

1063-7125

Print_ISBN

0-7695-0484-1

Type

conf

DOI

10.1109/CBMS.2000.856903

Filename

856903