Image filters based on difference-controlled cellular neural networks

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.