Aiming at the real time image restoration

a novel image restoration algorithm using cellular neural networks is proposed in this paper. First

based on the classic regularized image restoration algorithm

the edge direction constraint is introduced with easy hardware implementation. Then

suitable template parameters of cellular neural networks are designed based on the CNN energy function. The cellular neural network is applied to implement the regularization function of the traditional model of degraded image. Simulation results show the efficiency of the new algorithm

its restoration results are better than the least square image restoration method with constraints and another image restoration algorithm base on CNN. Because of the easy hardware implementation and parallel realization

the real time image restoration can be realized with the new algorithm.