摘要
本文提出并讨论了用细胞神经网络实现图像最大熵恢复的可能性,并基于对最大熵方法的物理实质分析推出了相应细胞神经网络模板的新设计方法,针对二值图象的恢复问题进行了计算机仿真,结果证明了这一方法是可行的。
A new approach for image restoration based on Cellular Neural Network(CNN) is proposed. The physical meaning of Maximum Entropy (ME) is analyzed and a new template is proposed for ME binary image restoration. The result of computer simulation proves this approach is reasonable.
关键词
最大熵图像恢复
细胞神经网络
图像处理
Image restoration, Cellular neural network, Template design method
