INTERPOLATION OF 2D SIGNALS USING CELLULAR NEURAL NETWORK

Year 2003, Volume: 3 Issue: 1, 635 - 640, 09.01.2012

Alexandru Gacsãdı Péter Szolgay

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.

Keywords

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