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Digital image filtering based on Bayesian weighted averaging

Digital filtering is the basic tool of image processing, designed to extract useful information from the original image for the purpose of further processing. One of the most commonly used filtering techniques is average filtering. This paper presents a new algorithm for determining the coefficients of adaptive convolution filter based on Bayesian weighted averaging together with the empirical evaluation of its effectiveness.