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Proceedings Paper

Medical image compression: quality and performance issues
Author(s): Anthony John Maeder; Michael P. Eckert
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Paper Abstract

The rapidly growing use of digital images for medical applications results in an inevitable need to compress the data, to gain cost and time benefits in storage and transmission. This paper reviews some different approaches taken in investigating and applying medical image compression, including a discussion of fundamental quality and performance issues in the evaluation of image compression techniques. Three classes of properties related to image compression techniques are identified: mathematical, psychovisual and task-oriented. Subsequently, some aspects of the different approaches are drawn together in the concept of selectable quality compression, which is advocated as a promising direction for this application area.

Paper Details

Date Published: 8 July 1999
PDF: 9 pages
Proc. SPIE 3747, New Approaches in Medical Image Analysis, (8 July 1999); doi: 10.1117/12.351629
Show Author Affiliations
Anthony John Maeder, Queensland Univ. of Technology (Australia)
Michael P. Eckert, Univ. of Technology, Sydney (Australia)

Published in SPIE Proceedings Vol. 3747:
New Approaches in Medical Image Analysis
Binh Pham; Michael Braun; Anthony John Maeder; Michael P. Eckert, Editor(s)

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