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 in  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.
|Number of pages||3|
|Journal||IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications|
|Publication status||Published - 1999|
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering