A new efficient fuzzy algorithm for color correction

Color correction, which nonlinearly converts the color coordinates of a scanner into that of a printer, is important and difficult for multimedia applications. An efficient tree-based fuzzy logic approach [1] has been proposed to solve the problem. However, the algorithm design and the implementation in [1] are slow, costly, and of poor color quality, due to the use of maximum criteria for defuzziflcation. In this paper, a new fuzzy tree inference algorithm for color correction is proposed. It is very simple and efficient and is suitable for adopting the center-average method for defuzzification to obtain better color quality. Therefore, a fast and cost-efficient implementation with good correction effects for tree-based fuzzy color correction is achieved.