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.<>