Evolutionary Approximation of Image Filters

This master's thesis introduces the areas of approximate computing, image filtering in hardware and evolutionary algorithms. It proposes a new design solution to the problem of the evolutionary approximation of median filters, where the objective is to reduce computational and implementation requirements and simultaneously minimize the error of filtering. Based on the gained knowledge and proposals, the necessary programs have been implemented. Experimental evaluation shows that the proposed method can provide good tradeoffs between the quality of filtering and the implementation cost for median filters