General-purpose image filters lack the flexibility and adaptability of un-modeled noise types. On the contrary, evolutionary algorithm based filter architectures seem to be very promising due to their capability of providing solutions to hard design problems. Through this novel approach, it is made possible to have an image filter that can employ a completely different design style that is performed by an evolutionary algorithm. In this context, an evolutionary algorithm based filter is designed in this paper with the kernel or the whole circuit for automatically evolved. The Evolvable Hard Ware architecture proposed in this paper can evolve filters without a priori information. The proposed filter architecture considers spatial domain approach and uses the overlapping window to filter the signal. The approach that is chosen in this work is based on functional level evolution whose architecture includes nonlinear functions and uses genetic algorithm for finding the best filter configuration.
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