A Novel Image Restoration Algorithm Using Cellular Neural Networks
基于细胞神经网络的图像复原新方法

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.