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The paper deals with evolutionary design of impulse burst noise filters. As proposed filters utilize the filtering window of 5times5 pixels, the design method has to be able to manage 25 eight-bit inputs. The large number of inputs results in an evolutionary algorithm not able to produce reasonably working filters because of the so-called scalability problem of evolutionary circuit design. However, the filters are designed using an extended version of Cartesian Genetic Programming which enables to reduce the number of inputs by selecting the most important of them. Experimental evaluation of the method has shown that evolved filters exhibit better results than conventional solutions based on various median filters.