Improved Fast Image Enhancement Algorithm Based on Fuzzy Set Theory
IHMSC '14 Proceedings of the 2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics - Volume 02（2014）
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.
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Key words
fuzzy set theory,linear membership function,fuzzy set theory, image enhancement, generalize-d fuzzy enhancement operator,generalized fuzzy enhancement operator,linear mapping,generalize-d fuzzy enhancement operator,fuzzy domain,image enhancement,image enhancement algorithm,gray level image,image colour analysis
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