Image Denoising Based on Combined Neural Networks Filter
Junhong Chen, Qinyu Zhang · 2009
In this paper, a new image restoration method based on combined neural networks Alter is proposed. This combined neural networks Alter is posed by a BPNN Alter and an image data fusion system based on self-organizing mapping neural networks. And this approach can use the corrupted image itself as training data to avoid the problem of how to choose the training data, which is most of the other neural networks denoising methods have to face, by using the distributed character of WGN. Experiment results show that the proposed method can denoise the noises effectively.