EVOLUTION OF DIGITAL CIRCUITS OPERATING AS IMAGE FILTERS IN DYNAMICALLY CHANGING ENVIRONMENT

This paper deals with an automatic design of image filters at hardware level in dynamic environment. The environment is modeled using eight different fitness functions representing eight types of noise. Various properties of adaptation process have been measured when these fitness functions were applied for a constant time. The resulting filters operate in average much better than the conventional solution.