Real-time reconstruction of symmetrical image using Cellular Neural Network

A real-time algorithm to reconstruct a 2D vertically symmetrical image using a cellular neural network (CNN) is proposed in this paper. The processing speed of the proposed algorithm on a CNN machine is much faster in comparison with that of algorithms running serially on a traditional digital computer. The proposed algorithm serves as a basic routine in CNN algorithms´ library or can be used to reconstruct damaged or partially known 2D symmetrical images in real-time applications. The algorithm is tested on some images with good results.