Nonlinear interpolative effect of feedback template for image processing by discrete-time cellular neural network

Recently discrete-time cellular neural network (DT-CNN) is applied to many image processing such as compression and reconstruction, recognition, and so on. Not a few models work as a simple filter and doesn't make good use of CNN dynamics by feedback A template, which is one of the significant characteristics of CNN. If CNN is applied to a filter only by feed forward B template, you should propose a model consists of digital filters using high speed signal processing modules such as high speed DSP IC. This paper describes nonlinear interpolative effect of feedback template, that is, A template by using the evaluation of image compression and reconstruction.