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An Adaptive Filtering Algorithm Based on Genetic Algorithm-Backpropagation Network

Author

Listed:
  • Kai Hu
  • Aiguo Song
  • Min Xia
  • XiaoLing Ye
  • YanYan Dou

Abstract

A new image filtering algorithm is proposed. GA-BPN algorithm uses genetic algorithm (GA) to decide weights in a back propagation neural network (BPN). It has better global optimal characteristics than traditional optimal algorithm. In this paper, we used GA-BPN to do image noise filter researching work. Firstly, this paper uses training samples to train GA-BPN as the noise detector. Then, we utilize the well-trained GA-BPN to recognize noise pixels in target image. And at last, an adaptive weighted average algorithm is used to recover noise pixels recognized by GA-BPN. Experiment data shows that this algorithm has better performance than other filters.

Suggested Citation

  • Kai Hu & Aiguo Song & Min Xia & XiaoLing Ye & YanYan Dou, 2013. "An Adaptive Filtering Algorithm Based on Genetic Algorithm-Backpropagation Network," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-8, April.
    • Handle: RePEc:hin:jnlmpe:573941
    DOI: 10.1155/2013/573941
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