Journal of Jilin University (Information Science Edition) ›› 2020, Vol. 38 ›› Issue (1): 49-54.
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GAO Hongyua,b,HUANG Wenlia,b,DONG Honglia,b,LI Jiahuia,b
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Abstract: In order to solve the parameter immobilization of the traditional pulse-coupled neural network,the memory properties of the memristive components are applied in the image processing,and two memristive components in the anti-parallel are used in the connection strength analog between the neurons of pulse neural network. A novel memristive pulse neural network is constructed to realize the dynamic change of the connection strength between neurons,and the new network is used for image denoising. The Matlab simulation experiment is carried out to verify the good performance of the improved new network in image denoising. The peak signal-tonoise ratio and image similarity index prove that the method has good effect on image denoising.
Key words: memristor, pulse coupled neural networks, image denoising
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GAO Hongyu, HUANG Wenli, DONG Hongli, LI Jiahui. Image Denoising Based on Memristive Pulse Coupled Neural Network[J].Journal of Jilin University (Information Science Edition), 2020, 38(1): 49-54.
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http://xuebao.jlu.edu.cn/xxb/EN/Y2020/V38/I1/49
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