Noise-Reducing of Fourlevel Image Using PCNN and Fuzzy Algorithm
Gu Xiao-dong①; Cheng Cheng-qi②; Yu Dao-heng①
①Deft; of Electron., Nat. Lab. on Machine Perception and Center of Info. Sci., Peking University, Beijing 100871, China;②Institute of Remote Sensing and GIS, Beijing 100871 China
Abstract：This paper describes how to combine PCNN(Pulse Coupled Neural Network) with fuzzy algorithm to reduce the noise of four-level images. Meanwhile, the image noise-reduciug algorithm based on the fuzzy PCNN is brought forward. The results of computer simulations show that noisy four-level images can be restored efficiently by using fuzzy PCNN and visual effects of restoration images by using fuzzy PCNN are much better than those by using two usual image noising-reducing methods, the median filter and the mean filter. Noise-reducing of the four-level images plays an important role in the medical image processing and the military image processing, Therefore, this paper contributes to both the theoretical researches on PCNN and the applications of PCNN.
2003, Vol. 25 
