Mixed Constrained Image Filter Design for Salt-and-Pepper Noise Reduction Using Genetic Algorithm
Zhiguo Bao, Fangfang Wang, Xiaoming Zhao, Takahiro Watanabe · IEEJ Transactions on Electronics Information and Systems · 2011
This paper describes mixed constrained image filter design for noise reduction using a Genetic Algorithm (GA) with parameterized uniform crossover. The proposed method with GA autonomously synthesizes a filter suitable for the reconfigurable processing array, evaluating the complexity, power and signal delay in both Configurable Logic Blocks (CLBs) and wires. An image filter for noise reduction is experimentally synthesized to verify the validity of the proposed method. By the evolution, the quality of the optimized image filter is better than that reported in other papers.