A new efficient fuzzy algorithm for color correction

Author

Jou, Jer Min ; Kuang, Shiann Rong ; Der Chen, Ren

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

Volume

46

Issue

6

fYear

1999

fDate

6/1/1999 12:00:00 AM

Firstpage

773

Lastpage

775

Abstract

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

Keywords

computational complexity; fuzzy set theory; image colour analysis; inference mechanisms; multimedia systems; tree data structures; center-average method; color coordinates; color quality; correction effects; cost-efficient implementation; defuzzification; fuzzy algorithm; fuzzy tree inference algorithm; image colour correction; multimedia applications; printer; scanner; Algorithm design and analysis; Color; Feedforward neural networks; Fuzzy logic; Fuzzy sets; Hardware; Inference algorithms; Multi-layer neural network; Neural networks; Printers;

fLanguage

English

Journal_Title

Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on

Publisher

ieee

ISSN

1057-7122

Type

jour

DOI

10.1109/81.768838

Filename

768838