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中文摘要：
针对现有声呐图像去噪方法“保边去噪”能力不足的问题，提出了一种结合非线性滤波器的形态小波域声呐图像去噪方法．首先，在形态小波完备重构条件下构建了二维形态中点小波．其次，对形态中点小波的细节分析算子进行多重化处理，对信号分析算子采用取中值的更新提升方案提升，并且为克服形态小波的“块状效应”，将图像的平均处理方法应用在形态中点小波去噪过程中．最后，在不同背景下进行多方面的仿真对比实验，实验数据显示形态中点小波的各项评估指标优于现有的小波去噪方法，验证了所提方法的可行性、有效性和可靠性．
英文摘要：
The existing methods for sonar image denoising are not adequate in the area of ＂edge-preserving denosing＂. In order to solve this problem, a sonar image denoising algorithm in the morphological wavelet domain using a nonlinear filter was proposed. Firstly, a 2-D morphological midpoint wavelet was constructed under the perfect reconstruction condition. Secondly, multiple processing was conducted for the detail analysis operators, the lifting scheme using medium value for the signal analysis operators was updated, and the morphological midpoint wavelet was enhanced by the image averaging method to overcome a ＂massive effect＂. Finally, simulation comparison experiments in the different backgrounds were taken. The results display that the evaluation indices of the morphological midpoint wavelet were better than those of the existing wavelet transformation. They verify the feasibility, effectiveness, and reliability of the proposed method.
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