Integrating ensemble empirical mode decomposition and nonlinear anisotropic diffusion filter for speckle noise reduction in underwater sonar images

Somayeh Bakhtiari; Sos Agaian; Mohammad Jamshidi

doi:10.1117/12.876729

3 February 2011 Integrating ensemble empirical mode decomposition and nonlinear anisotropic diffusion filter for speckle noise reduction in underwater sonar images

Somayeh Bakhtiari, Sos Agaian, Mohammad Jamshidi

Author Affiliations +

Proceedings Volume 7870, Image Processing: Algorithms and Systems IX; 78701C (2011) https://doi.org/10.1117/12.876729
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

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.

Citation Download Citation

Somayeh Bakhtiari, Sos Agaian, and Mohammad Jamshidi "Integrating ensemble empirical mode decomposition and nonlinear anisotropic diffusion filter for speckle noise reduction in underwater sonar images", Proc. SPIE 7870, Image Processing: Algorithms and Systems IX, 78701C (3 February 2011); https://doi.org/10.1117/12.876729

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