ANFIS based color constancy algorithms selection system for dark image enhancement

This work introduces an Artificial Neuro-Fuzzy Inference System functioning as a selector of color constancy algorithms for the enhancement of dark images. The system selects among three algorithms, the White-Patch, the Gray-World and the Gray-Edge according to real content of an image. These three algorithms have been considered due to their simplicity and accurate remotion of the illuminant, further showing an outstanding color enhancement on images. The diverse image features are involved in the selection process, so the design of selector system is not a trivial task. For this reason we developed a fuzzy rule based system to model the information through simple rules. While addressing the problem of dark image enhancement this approach can handle large amount of data and is tolerant to ambiguity.