Research on Sonar Image Denoising Method Based on Fixed Water Area Noise Model

Aiming at solving the problem that the imaging quality of underwater sonar is greatly affected by the noise of underwater environment, a sonar image denoising method based on the noise model of fixed water area is proposed. In this paper, the theoretical model of ambient noise in fixed water area is established, and the estimated parameters of the theoretical model are obtained through experimental tests. Then, these parameters are used as the key parameters of guided filtering based on frequency domain filtering pretreatment to denoise sonar image. The simulation results show that the proposed sonar image denoising method is superior to the traditional method in structural similarity(SSIM) and peak-signal-to-noise ratio(PSNR) compared with the traditional methods such as direct guided filtering, mean filtering and median filtering, at the same time, the image edge information and the clarity of the texture area are well maintained, which can effectively overcome the problem of texture loss and edge blurring caused by the traditional method. The research results of this paper have positive significance for improving the quality of sonar imaging in fixed waters.