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Proceedings Paper

Medical image compression using attention modeling
Author(s): Anthony John Maeder
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Paper Abstract

This paper describes the use of a simple model of visual importance in digital images, based on the use of contrast statistics for prediction of areas of detail which influence observer attention, to allow image compression to be undertaken at varying quality within an individual image. The effects of this strategy on expert observer perception of the reconstructed images, based on subjective image quality judgment and analysis of eye-position patterns, are considered by applying the model to sample mammograms, cervical and thoracic X-rays. The results indicate that consistent observer performance can be attained with images compressed in this way, at compression rates in excess of those reported for uniformly compressed images.

Paper Details

Date Published: 24 May 1999
PDF: 7 pages
Proc. SPIE 3663, Medical Imaging 1999: Image Perception and Performance, (24 May 1999); doi: 10.1117/12.349633
Show Author Affiliations
Anthony John Maeder, Queensland Univ. of Technology (Australia)

Published in SPIE Proceedings Vol. 3663:
Medical Imaging 1999: Image Perception and Performance
Elizabeth A. Krupinski, Editor(s)

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