@inproceedings{92edc2564426460f9983616e4178ee76,
title = "An adaptive enhancement algorithm for infrared images",
abstract = "A novel adaptive infrared image enhancement algorithm based on curve let transform is presented. Firstly, noisy infrared image with low contrast is decomposed in the curve let transform domain. Then, a new nonlinear mapping function is used to modify the curve let transform coefficients at each scale and direction without any parameter tuning. Finally, the enhanced image is reconstructed from the modified coefficients via inverse curve let transform. The enhancement is achieved by amplifying subtle features and improving contrast while eliminating noise. Experimental results show that the proposed algorithm produces better enhanced images than existing algorithms.",
keywords = "Adaptive enhancemen, Curvelet transform, Infrared image",
author = "Yan Zhou and Qingwu Li and Guanying Huo",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 7th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2015 ; Conference date: 26-08-2015 Through 27-08-2015",
year = "2015",
month = nov,
day = "20",
doi = "10.1109/IHMSC.2015.54",
language = "英语",
series = "Proceedings - 2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "362--365",
booktitle = "Proceedings - 2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2015",
address = "美国",
}