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Volume 27 Issue 3
Aug.  2021
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Article Contents
JU Lei, ZHENG Deling, ZHANG Lei. Image filters based on difference-controlled cellular neural networks[J]. Chinese Journal of Engineering, 2005, 27(3): 375-379. doi: 10.13374/j.issn1001-053x.2005.03.030
Citation: JU Lei, ZHENG Deling, ZHANG Lei. Image filters based on difference-controlled cellular neural networks[J]. Chinese Journal of Engineering, 2005, 27(3): 375-379. doi: 10.13374/j.issn1001-053x.2005.03.030

Image filters based on difference-controlled cellular neural networks

doi: 10.13374/j.issn1001-053x.2005.03.030
  • Received Date: 2004-04-16
  • Rev Recd Date: 2004-09-04
  • Available Online: 2021-08-17
  • Difference-controlled Cellular Neural Networks (CNN) can realize some complex operations more convenient than standard CNN. To improve the stability and realizability of existent median filters based on difference-controlled CNN, a pseudo median filter based on difference-controlled CNN (CNN PM-filter) was presented. In order to reduce image blur caused by filtering, a selective CNN PM-filter was studied too. The results of signal/noise ratio and correlation degree show that the stability and realizability of the two filters in paper were improved. The CNN PM-filter's performance is a little better than a standard median filter; the selective CNN PM-filter can suppress impulse noise and simultaneously reduce image blur effectively.

     

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      沈陽化工大學材料科學與工程學院 沈陽 110142

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