Title :
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
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;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4956-4
DOI :
10.1109/IHMSC.2014.144
