Research on Multiplicative Speckle Noise Denoising Method of Side-Scan Sonar Image based on Analysis Sparse Decomposition

Because of the use of echo imaging, Side-scan sonar will inevitably introduce multiplicative speckle noise to cause image distortion and affect the follow-up research. Aiming at the Side-scan sonar multiplicative speckle noise, this paper improves the original Side-scan sonar image sparse decomposition denoising algorithm. Firstly carries on the logarithmic transformation to the noisy image, then uses the analysis model to carry on the sparse decomposition to reduce the noise, and finally transforms back to the spatial domain to get the denoised image. This method has a good denoising effect on the multiplicative speckle noise of the Side-scan sonar image. compared with the existing denoising algorithms, the simulation results show that the mean square error (MSE) is reduced by 23.27, the peak signal-to-noise ratio ((PSNR)) is improved by 4.97dB, the structure similarity (SSIM) is increased by 0.06, and the edge retention index (EPI) is increased by 0.09.