Andrzej Chydzinski

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In this paper a new approach to the problem of impulsive noise reduction in color images is presented. The basic idea behind the new image 6ltering technique is the maximization of the similarities between pixels in a prede6ned 6ltering window. The improvement introduced to this technique lies in the adaptive establishing of parameters of the similarity(More)
In this report, a detailed analysis of the packet loss process in a finite-buffer queue fed by the Markovian arrival process (MAP) is shown. The results consist of both transient and stationary characterization of the loss process in terms of the loss ratio, the number of packets lost per time unit and the number of losses in an interval of a given length.(More)
K. N. Plataniotis A. N. Venetsanopoulos Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto 10 King’s College Road Toronto, Ontario M5S 3G4, Canada E-mail: kostas@dsp.toronto.edu Abstract. A new approach to the problem of impulsive-noise reduction for color images is introduced. The major advantage of the technique(More)