Improved Fast Image Enhancement Algorithm Based on Fuzzy Set Theory

Author

Wei Jia ; Jinyuan Yang ; Yanbin Liu ; Lilue Fan ; Qingqiang Ruan

Author_Institution

Dept. of Comput. & Inf. Sci., ZunYi Normal Coll., Zunyi, China

Volume

2

fYear

2014

fDate

26-27 Aug. 2014

Firstpage

173

Lastpage

175

Abstract

In this paper, we present an improved fast image enhancement algorithm based fuzzy set theory. The gray level image is mapped into fuzzy domain using a novel linear membership function. Then, the generalized fuzzy enhancement operator is applied for the image enhancement operation. The enhancement result is calculated by using the method of linear mapping. The comparative experiments show the superiority in the performance efficiency and visual results, and the operation time of the algorithm is only 0.047887s.

Keywords

fuzzy set theory; image colour analysis; image enhancement; fuzzy domain; fuzzy set theory; generalized fuzzy enhancement operator; gray level image; image enhancement algorithm; linear mapping; linear membership function; Algorithm design and analysis; Cybernetics; Fuzzy set theory; Image edge detection; Image enhancement; Image quality; fuzzy set theory; generalize-d fuzzy enhancement operator; image enhancement;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4799-4956-4

Type

conf

DOI

10.1109/IHMSC.2014.144

Filename

6911475