Evolutionary design for image filter using GA
Zhiguo Bao, Takahiro Watanabe · 2009
This paper describes evolutionary image filter design for noise reduction using genetic algorithm (GA), where the circuit complexity, power and signal delay are optimized. First, the evaluating value about correctness, complexity, power and signal delay are introduced to the fitness function. Then GA autonomously synthesizes a circuit which is simple and has good performance. To verify the effectiveness of our method, an image filter for noise reduction is experimentally synthesized. The resultant image filter by GA and the quality of filtered image are discussed.