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An Adaptive Filtering Algorithm Based on Genetic Algorithm-Backpropagation Network

By Kai Hu, Aiguo Song, Min Xia, XiaoLing Ye and 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

Topics: Engineering (General). Civil engineering (General), TA1-2040, Mathematics, QA1-939
Publisher: Hindawi Publishing Corporation
Year: 2013
DOI identifier: 10.1155/2013
OAI identifier: oai:doaj.org/article:0ee233bacde04ff686f0624a10961b18
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