中文说明：针对传统的声成像去噪算法一般用于处理二维数据，并且基本上没有考虑数据中加性噪声和乘性噪声同时存在的特点，提出了一种面向可视的三维水声数据降噪算法。该算法分析了复合噪声模型特点，分别考虑水声数据中并存的加性和乘性噪声，结合空域和变换域，提出了分别进行模糊中值滤波和利用小波系数相关性的小波软阈值滤波的分层降噪方法，并在算法的实现过程中充分利用了数据的三维邻域信息。实验结果显示，该算法降低了原始数据的噪声，提高了数据连续性和对比度，增强了三维水声数据的可视效果。
English Description：
According to the traditional acoustic imaging to denoising algorithm generally used for two-dimensional data processing, and basically does not consider the characteristics of the data with noise and multiplicative noise exist at the same time, a oriented visual 3D underwater acoustic data denoising algorithm is proposed. The algorithm analysis the composite noise characteristics of the model, are considered acoustic data with the coexistence of additive and take noise, combined with spatial domain and transform domain, are presented for fuzzy median filter and the correlation of wavelet coefficients of wavelet soft threshold filtering of layered denoising method, and in the implementation of the algorithm in the process makes full use of the data of the 3D neighborhood information. Experimental results show that the proposed algorithm can reduce the noise of original data, improve the data continuity and contrast, and enhance the visual effect of 3D acoustic data.