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Speckle noise MAP filtering based on local adaptive neighborhood statistics

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3 Author(s)
Medeiros, F.N.S. ; Cybern Vision Group, Sao Paulo Univ., Brazil ; Mascarenhas, N. ; da F.Costa, L.

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. The use of region growing is investigated as a promising approach compared to a fixed size and shape neighborhood

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Computer Graphics and Image Processing, 1999. Proceedings. XII Brazilian Symposium on

Date of Conference: