An Adaptive Filtering Algorithm Based on Genetic Algorithm-Backpropagation Network

Abstract EN

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.