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Proceedings Paper

Integrating ensemble empirical mode decomposition and nonlinear anisotropic diffusion filter for speckle noise reduction in underwater sonar images
Author(s): Somayeh Bakhtiari; Sos Agaian; Mohammad Jamshidi
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Paper Abstract

In this paper, a speckle noise reduction method is presented. The proposed method is based on a combination of nonlinear anisotropic diffusion filter and Ensemble Empirical Mode Decomposition (EEMD) technique. It incorporates the advantages of the two techniques. The experimental results on the images speckled by various levels of noise show that the proposed method is able to significantly improve the performance of nonlinear anisotropic diffusion filter. Furthermore, it outperforms several well-known speckle reduction algorithms in terms of noise removal as well as image features preservation.

Paper Details

Date Published: 3 February 2011
PDF: 11 pages
Proc. SPIE 7870, Image Processing: Algorithms and Systems IX, 78701C (3 February 2011); doi: 10.1117/12.876729
Show Author Affiliations
Somayeh Bakhtiari, The Univ. of Texas at San Antonio (United States)
Sos Agaian, The Univ. of Texas at San Antonio (United States)
Mohammad Jamshidi, The Univ. of Texas at San Antonio (United States)

Published in SPIE Proceedings Vol. 7870:
Image Processing: Algorithms and Systems IX
Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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