Cellular Neural Networks with Delay Output for Half-Toning

Cellular Neural Network (CNN) is constructed the grating coupling of analog circuits. The performance of the CNN depends on the parameters called the template. Template can use for various image processing applications. In this study, we apply the CNN with delay output (D-CNN) to image processing. In a general way, the D-CNN is used by motion picture processing. However, we apply the D-CNN to image processing and obtain effective results. From simulation results, we confirm that the proposed model is effective for half-toning processing.