Automatic selection of color constancy algorithms for dark image enhancement by fuzzy rule-based reasoning
A fuzzy rule-based system operates as a selector of color constancy algorithms. The system selects among the White-Patch, Gray-World and Gray-Edge algorithms. The method attains a high rate of correct selection according to the actual scene. Two problems are addressed simultaneously: color constancy and color enhancement. The framework can be used in engineering applications, like video surveillance.
color constancy rule-based system color enhancement fuzzy modeling image processing