Statistical modeling for brightness-gradient elimination

J. P. Auray; G. Duru; Michel P. Lamure; Jean-Jacques Milan; Nicolas Nicoloyannis

doi:10.1117/12.18934

1 July 1990 Statistical modeling for brightness-gradient elimination

J. P. Auray, G. Duru, Michel P. Lamure, Jean-Jacques Milan, Nicolas Nicoloyannis

Proceedings Volume 1233, Medical Imaging IV: Image Processing; (1990) https://doi.org/10.1117/12.18934
Event: Medical Imaging '90, 1990, Newport Beach, CA, United States

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.

Citation Download Citation

J. P. Auray, G. Duru, Michel P. Lamure, Jean-Jacques Milan, and Nicolas Nicoloyannis "Statistical modeling for brightness-gradient elimination", Proc. SPIE 1233, Medical Imaging IV: Image Processing, (1 July 1990); https://doi.org/10.1117/12.18934

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