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 has been proposed to solve the problem. However, the algorithm design and the implementation are slow, costly, and of poor color quality, due to the use of maximum criteria for defuzzification. 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.