CNN model for identifying colors under different illumination conditions via Land's experiments

Abstract

We present a CNN model for separating colors under different illumination conditions. The color model is based on Land's assumption: the individual monochromatic channels are processed separately. However, we use a different channel processing model. The model was evaluated on a Mondrian image.