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Proceedings Paper

Evaluation and optimization of contrast enhancement methods for medical images
Author(s): Derek T. Puff; Robert Cromartie; Etta D. Pisano; Keith E. Muller; Richard Eugene Johnston; Stephen M. Pizer
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Paper Abstract

We have developed and are applying two methods of image quality assessment with the aim of optimizing contrast enhancement parameter settings and evaluating competing methods. Our first approach uses observer studies employing psychophysical methods and a realistic clinical task; the second incorporates a model of human vision in a computer simulation of the performance of an observer.

Paper Details

Date Published: 22 September 1992
PDF: 11 pages
Proc. SPIE 1808, Visualization in Biomedical Computing '92, (22 September 1992); doi: 10.1117/12.131089
Show Author Affiliations
Derek T. Puff, Univ. of North Carolina/Chapel Hill (United States)
Robert Cromartie, Univ. of North Carolina/Chapel Hill (United States)
Etta D. Pisano, Univ. of North Carolina/Chapel Hill (United States)
Keith E. Muller, Univ. of North Carolina/Chapel Hill (United States)
Richard Eugene Johnston, Univ. of North Carolina/Chapel Hill (United States)
Stephen M. Pizer, Univ. of North Carolina/Chapel Hill (United States)


Published in SPIE Proceedings Vol. 1808:
Visualization in Biomedical Computing '92

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