Development of FPGA based adaptive image enhancement filter system using genetic algorithms

Abstract

In this paper, a genetic algorithm-based adaptive image enhancement filtering scheme is proposed and implemented on an FPGA board. In contrast to conventional filter systems, the proposed system can find an optimal combination of filters, as well as their sequent order and parameter values, adaptively under unknown noise types using structured genetic algorithms. For evaluation, three types of noise were used, and the experimental results showed that the proposed scheme can generate an optimal set of filters adaptively without a-priori noise information.