【摘要】 该文深入研究了如何用一种有生物学依据的人工神经网络—脉冲耦合神经网络(PCNN—PulseCoupled Neural Network)进行二值图像去噪与图像平滑,并提出了基于PCNN的图像去噪算法。计算机仿真结果表明,使用PCNN可有效地恢复被噪声污染的二值图像,且恢复图像的信噪比增量高于用另两种常用的图像恢复方法(中值滤波与均值滤波)得到的结果。更多还原

【Abstract】 In this paper, researches are deep done on using PCNN-pulse coupled neural network, a new artificial neural network based on biology, to reduce binary images’ noise and smooth images. Meanwhile, the image restoration algorithm based on PCNN is brought forward. The results of computer simulations show that noisy binary images can be restored efficiently by using PCNN and the increasing SNRs of restored images by using PCNN are higher than those by using one of two usual image restoration methods, the median filter and the mean filter.更多还原