A new efficient fuzzy algorithm for color correction

Color correction, which nonlinearly converts the color coordinates of a sca nner into that of a printer, is important and difficult for multimedia appl ications. An efficient tree-based fuzzy logic approach [1] has been propose d to solve the problem. However, the algorithm design and the implementatio n in [1] are slow, costly, and of poor color quality, due to the use of max imum criteria for defuzzification. In this paper, a new fuzzy tree inferenc e algorithm for color correction is proposed. It is very simple and efficie nt and is suitable for adopting the center-average method for defuzzificati on to obtain better color quality, Therefore, a fast and cost-efficient imp lementation with good correction effects for tree-based fuzzy color correct ion is achieved.