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Proceedings Paper

Statistical modeling for brightness-gradient elimination
Author(s): J. P. Auray; G. Duru; Michel P. Lamure; Jean-Jacques Milan; Nicolas Nicoloyannis
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Paper Abstract

Some images present a quite strong brightness gradient which may hide significant details of the represented scene. A statistical method for enhancement by elimination of this gradient is proposed. In the first section we present the statistical background which is used. The second section is devoted to the description of our model. The third section consists in the description of the steps involved in the process of enhancement. In the fourth section we present results obtained on a test image. The last section gives a brief discussion on advantages and perspectives of this approach. 1.

Paper Details

Date Published: 1 July 1990
PDF: 6 pages
Proc. SPIE 1233, Medical Imaging IV: Image Processing, (1 July 1990);
Show Author Affiliations
J. P. Auray, Univ. Lyons I (France)
G. Duru, Univ. Lyons I (France)
Michel P. Lamure, Univ. Lyons I (France)
Jean-Jacques Milan, Univ. Lyons I (France)
Nicolas Nicoloyannis, Univ. Lyons I (France)

Published in SPIE Proceedings Vol. 1233:
Medical Imaging IV: Image Processing
Murray H. Loew, Editor(s)

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