Speckle Noise MAP Filtering Based on Local Adaptive Neighborhood Statistics

Authors:
F. N. S. Medeiros;Nelson D. A. Mascarenhas;Luciano da Fontoura Costa
Affiliations:
-;-;-
Venue:
SIBGRAPI '99 Proceedings of the XII Brazilian Symposium on Computer Graphics and Image Processing
Year:
1999

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Abstract

This work proposes the use of an adaptive neighborhood procedure to extract local statistical properties of images in order to improve a speckle noise "maximum a posteriori"(MAP) filtering performance. The strategy consists in growing the local statistically homogeneous area near the pixel in order to estimate its MAP filtering parameters. Measures evaluating both the signal-to-noise improvement and resolution loss due to filtering are computed. It is investigated the use of region growing as a promising approach compared to a fixed size and shape neighborhood.