XCNN: a software package for color image processing

The paper presents a software prototype capable of performing image processing applications using cellular neural networks (CNN). The software is based on a CNN multi-layer structure in which each primary color is assigned to a unique layer. This allows an added flexibility as different processing applications can be performed in parallel. To be able to handle a full range of color tones, two novel color mapping schemes were derived. In the proposed schemes the color information is obtained from the cell´s state rather than from its output. Additionally, a post processor capable of performing pixelwise logical operations among color layers was developed to enhance the results obtained from CNN