A side scan sonar image denoising algorithm based on compound of fuzzy weighted average and Kalman filter

There are usually various kinds of noises in sonar images, such as Gaussian, impulse and speckle noise. However, traditional filtering method can only remove one kind of noise, and the details of the image are blurred in various degrees. In this paper, according to the characteristics of background noises, a kind of algorithm based on compound of fuzzy weighted average and Kalman filter is proposed with fully consideration of the randomness of noises to smooth side-scan sonar images. Experimental results and comparing analysis show that the algorithm can well reduce Gaussian noise and impulse noise at the same time and maximizing the preservation of detail information.