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| A new approach for noise reducing of image based on PCNN |
| Gu Xiaodong; Guo Shide; Yu Daoheng |
| Dept. of Electron.,Nat. Lab. on Machine Perception and Center of Info. Sci Peking Univ.,Beijing 100871 China |
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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.
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Received: 17 April 2001
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2002, Vol. 24 
