A New Algorithm for Noise Reducing of Image Based on PCNN Time Matrix
一种基于PCNN赋时矩阵的图像去噪新算法

This paper puts forward a new algorithm for image reducing noise based on the time matrix of Pulse Coupled Neural Networks (PCNN) form the aspect of the characteristic of image impulsive noise. The time matrix is a mapping from spatial image information to time information generated from PCNN, The time matrix contains useful information related to spatial information in image processing. The results of computer simulations show that through analyzing and processing the PCNN time matrix, the image polluted by impulsive noise can be filtered efficiently and visual effects of restoration images are much batter than those obtained from the median filter, mean filter and wiener filter. This method presents higher Peak Signal-to-Noise, better capability to reduce noise, and can protect edges and details of images and be more adaptive.