A new efficient fuzzy algorithm for color correction

Jer Min Jou, Shiann Rong Kuang, Ren Der Chen

Research output: Contribution to journalArticle

7 Citations (Scopus)

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 languageEnglish
Pages (from-to)773-775
Number of pages3
JournalIEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
Volume46
Issue number6
DOIs
Publication statusPublished - 1999 Dec 1

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Color
Fuzzy logic
Costs

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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A new efficient fuzzy algorithm for color correction. / Jou, Jer Min; Kuang, Shiann Rong; Chen, Ren Der.

In: IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, Vol. 46, No. 6, 01.12.1999, p. 773-775.

Research output: Contribution to journalArticle

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