Title | ||
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Integrating Ensemble Empirical Mode Decomposition And Nonlinear Anisotropic Diffusion Filter For Speckle Noise Reduction In Underwater Sonar Images |
Abstract | ||
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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. |
Year | DOI | Venue |
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2011 | 10.1117/12.876729 | IMAGE PROCESSING: ALGORITHMS AND SYSTEMS IX |
Keywords | Field | DocType |
Image De-noising, Empirical Mode Decomposition, Nonlinear Anisotropic Diffusion Filter | Noise reduction,Anisotropic diffusion,Computer vision,Median filter,Nonlinear system,Speckle pattern,Optics,Sonar,Artificial intelligence,Speckle noise,Hilbert–Huang transform,Physics | Conference |
Volume | ISSN | Citations |
7870 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Somayeh Bakhtiari | 1 | 0 | 1.01 |
Sos Agaian | 2 | 67 | 16.48 |
M. Jamshidi | 3 | 16 | 7.18 |