Analysis of Different Speckle-scene Models for SONAR Image Despeckling

Abstract

Among the different models investigated for SONAR image denoising, the analysis considers two noise models, the signal independent additive noise model and the multiplicative noise model. For the signal-independent additive model, in the transform domain for the denoising a mutiresolution analysis method and the sparsity of the natural sonar images are exploited. For the same model in the spatial domain a side scan sonar image is denoised by Kalman filter-based estimation method. For the multiplicative noise model, in the transform domain a mixed noise removal based on probabilistic patch-based processing is employed and in the spatial domain, the fractional integral mask based method and an unscented Kalman filter based estimation method is adopted.