Medical image compression: quality and performance issues

Anthony J. Maeder, Michael Eckert

Research output: Contribution to journalConference articlepeer-review

11 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)93-101
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 8 Jul 1999
Externally publishedYes
EventProceedings of the 1998 Research Workshop on New Approaches in Automated Medical Image Analysis - Ballarat, Aust
Duration: 31 Jul 19981 Aug 1998


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