Medical image compression: quality and performance issues
Anthony John Maeder, Michael P. Eckert · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1999
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.