Interpolation of 2D signals using CNN
Alexandru Gacsadi, Péter Szolgay · SZTAKI Publication Repository (Hungarian Academy of Sciences) · 2001
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. .