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A novel approach to joint estimation of multiplicative noise variance and probability of impulsive noise occurrence in images is proposed. It uses a fractal Brownian motion model for description of real life images. It is demonstrated that this approach provides accurate estimation of mixed noise parameters even for images containing a large percentage of texture regions. The proposed method performance is compared to a modification of a recently designed method based on minimal inter-quantile distances.