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Integrating Ensemble Empirical Mode Decomposition and Nonlinear Anisotropic Diffusion Filter for Speckle Noise Reduction in Underwater Sonar Images

机译:集成的经验模态分解和非线性各向异性扩散滤波器在水下声纳图像中减少斑点噪声

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摘要

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.
机译:本文提出了一种减少斑点噪声的方法。所提出的方法是基于非线性各向异性扩散滤波器和集成经验模态分解(EEMD)技术的结合。它结合了两种技术的优点。对各种噪声水平斑点图像的实验结果表明,该方法能够显着提高非线性各向异性扩散滤波器的性能。此外,在噪声去除和图像特征保留方面,它优于几种众所周知的散斑减少算法。

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