Image restoration algorithm based on Fourier neural network
基于Fourier神经网络的图像复原算法

According to the fact that PSF(point spread function) of the degraded image can’t obtain accurately,this paper constructed a feed-forward neural network for image restoration based on the Fourier orthogonal function.The hidden-layer neurons were activated by a series of Fourier orthogonal functions,updated its weight by the error back-propagation training algorithm and finally reached convergence target.This paper applied the Fourier neural network and its hidden-neuron growing algorithm to recover the fuzzy image.Experiments show they have better performances on image restoration.