关键词: 脉冲耦合神经网络, 高斯噪声, 自适应滤波, 图像去噪

Abstract: An adaptive de-noising method is proposed based on improved Pulse Coupled Neural Network（PCNN）.Aimed at de-noising the image with serious Gaussian noise effectively，preserving more image details，the method introduces a kind of detection mechanism of locating strong noised pixels based on the captures among neurons acting on image filtering，and only filters these pixels using an analogous median filter.It automatically selects the optimal filtering method to smooth the weak noised pixels based on the firing time map of PCNN with null interconnection to enhance the adaptability and de-noising ability of the system.Experimental results prove that the method based on the adaptive PCNN system can remove noise and preserve the details of images more effectively and completely than the conventional methods，and the adaptability is the feature of the system.

Key words: pulse coupled neural network, Gaussian noise, adaptive filtering, image de-noising