Wavelet-based compression of medical images: Protocols to improve resolution and quality scalability and region-of-interest coding

Citation
P. Schelkens et al., Wavelet-based compression of medical images: Protocols to improve resolution and quality scalability and region-of-interest coding, FUT GENER C, 15(2), 1999, pp. 171-184
Citations number
26
Categorie Soggetti
Computer Science & Engineering
Journal title
FUTURE GENERATION COMPUTER SYSTEMS
ISSN journal
0167739X → ACNP
Volume
15
Issue
2
Year of publication
1999
Pages
171 - 184
Database
ISI
SICI code
0167-739X(199903)15:2<171:WCOMIP>2.0.ZU;2-1
Abstract
The paper describes a methodology to improve the scalability support of an embedded bit stream, generated with a wavelet-based compression algorithm, and a generic protocol to handle multiple regions-of-interest (ROIs). The g eneric scheme, illustrated for embedded zero-tree wavelet (EZW) coding, exp loits the inherent graceful degradation capabilities of wavelet-based compr ession methods and ensures an optimal trade-off between the image reconstru ction quality and the compression ratio. Additionally, an efficient protoco l is proposed to handle multiple ROIs in an interactive client-server set-u p for telemedicine applications. The processing of the ROIs takes place in the wavelet domain. (C) 1999 Elsevier Science B.V. All rights reserved.