An Adaptive Filtering Algorithm Based on Genetic Algorithm-Backpropagation Network

Kai Hu, Aiguo Song, Min Xia, XiaoLing Ye and YanYan Dou

Mathematical Problems in Engineering, 2013, vol. 2013, 1-8

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.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:573941

DOI: 10.1155/2013/573941

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