【摘要】 结合二维细胞自动机(CA)和细胞神经网络通用二进制神经元(CNN-UBN)设计了两种新的用于噪声图像恢复的细胞神经网络(CNN)。这两种网络的联合处理图像结果明显优于长度为3和5的普通中值滤波恢复方法,且具有速度快、结构简单、易于硬件集成等优点,是一种新颖实用的图像恢复算法。更多还原

【Abstract】 In this paper,two new kind of CNN are designed with two-dimensional Cellular Automata(CA)and CNN U-niversal Binary neuron(CNN-UBN),which can implement image restoring.The processing results of two algorithms are better than that of median filter whose length is3and5obviously.Furthermore,it has many advantages,such as,high-speed processing,simple structure and easy integration and so on.It is a novel and effective algorithm.更多还原