Variational Image Deblurring Using Modified Hopfield Neural Network
Zhang Hongying, Peng Qi-cong, WU Ya · 2006
We address the problem of variational image restoration by neural network in this paper. A variational image deblurring algorithm based on modified Hopfield neural network (MHNN) is proposed. Then we analyze the convergence of the deblurring algorithm and give a strategy to guarantee the algorithm to converge stable state. Comparative experimental results show that the proposed algorithm is favorable to other related algorithms