Journal of Jilin University (Information Science Edition) ›› 2020, Vol. 38 ›› Issue (1): 49-54.

Previous Articles     Next Articles

Image Denoising Based on Memristive Pulse Coupled Neural Network

GAO Hongyua,b,HUANG Wenlia,b,DONG Honglia,b,LI Jiahuia,b   

  1. a. School of Electrical Engineering and Information; b. Heilongjiang Provincial Key Laboratory of Networking
    and Intelligent Control,Northeast Petroleum University,Daqing 163318,China
  • Received:2019-07-31 Online:2020-01-20 Published:2020-02-17

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

CLC Number: 

  • TN911. 73