Binary Image Restoration Using Pulse Coupled Neural Network
In this paper, researches are deep done on using PCNN-pulse coupled neural network, a new artificial neural network based on biology, to restore binary images 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 SNRs of restored images by using PCNN is higher than by using one of two usual image restoration methods, the median filter and the mean filter.
Gu Xiaodong Wang Maiming Yu Daoheng
Electronics Department, National Laboratory on Machine Perception and Center of Information Science Peking University Beijing, P.R.China, 100871
国际会议
8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)
上海
英文
960-965
2001-11-14（万方平台首次上网日期，不代表论文的发表时间）