Medical image compression: quality and performance issues

Anthony John Maeder; Michael P. Eckert

doi:10.1117/12.351629

8 July 1999 Medical image compression: quality and performance issues

Anthony John Maeder, Michael P. Eckert

Proceedings Volume 3747, New Approaches in Medical Image Analysis; (1999) https://doi.org/10.1117/12.351629
Event: Research Workshop on Automated Medical Image Analysis, 1998, Ballarat, Australia

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.

Citation Download Citation

Anthony John Maeder and Michael P. Eckert "Medical image compression: quality and performance issues", Proc. SPIE 3747, New Approaches in Medical Image Analysis, (8 July 1999); https://doi.org/10.1117/12.351629

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