A new efficient fuzzy algorithm for color correction

Jer Min Jou; Shiann Rong Kuang; Ren Der Chen

doi:10.1109/81.768838

A new efficient fuzzy algorithm for color correction

Jer Min Jou^*, Shiann Rong Kuang, Ren Der Chen

^*Corresponding author for this work

National Cheng Kung University

Research output: Contribution to journal › Journal Article › peer-review

8 Scopus citations

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 [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.

Original language	English
Pages (from-to)	773-775
Number of pages	3
Journal	IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
Volume	46
Issue number	6
DOIs	https://doi.org/10.1109/81.768838
State	Published - 1999
Externally published	Yes

Keywords

Color correction
Defuzzification
Fuzzy

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10.1109/81.768838

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title = "A new efficient fuzzy algorithm for color correction",

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 [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.",

keywords = "Color correction, Defuzzification, Fuzzy",

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year = "1999",

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AU - Jou, Jer Min

AU - Kuang, Shiann Rong

AU - Chen, Ren Der

PY - 1999

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N2 - 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.

AB - 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.

KW - Color correction

KW - Defuzzification

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JF - IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications

IS - 6

ER -

A new efficient fuzzy algorithm for color correction

Abstract

Keywords

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