INTERPOLATION OF 2D SIGNALS USING CELLULAR NEURAL NETWORK

Abstract

In this paper some new interpolation methods using cellular neural networks (CNN) are proposed. The templates have only linear feedback component with a 3*3 dimension. The templates were computed by using analytic methods. By implementing these interpolation methods on a “CNN- Universal Chip”, the processing becomes completely parallel and it can be done in real time. The testing results achieved by using these interpolation methods are presented for increasing gray- scale image resolution, for image reconstruction and the encoding-decoding the images necessary for their transmission.