@inproceedings{d014cdc20d72484db3b2e3b698bfb564,
title = "A unified framework of single image haze removal under different weather conditions",
abstract = "Outdoor images are usually affected by haze, fog and smoke which are such phenomena due to atmospheric scatting, so that the degraded images suffer from the loss of contrast and color fidelity. In this paper, we summed up a variety of haze removal techniques which are grouped into two categories: physics based and non physics based, and processed some hazy images under different weather conditions. Then, we make a comparison among these results, and analyze their advantages and shortcomings, estimate the appropriate haze removed technique for each weather condition. Finally, we lay further discussions on technical challenges and future development.",
keywords = "Haze removal, Image enhancement, Single image",
author = "Li, \{Yi Fan\} and Qiang Su and Pan, \{Jeng Shyang\} and Li, \{Jun Bao\} and Wei Cui and Liu, \{Huan Yu\}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 2nd Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2015 ; Conference date: 29-06-2015 Through 01-07-2015",
year = "2015",
doi = "10.1007/978-3-319-21206-7\_33",
language = "英语",
isbn = "9783319212050",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "393--403",
editor = "Ajith Abraham and Vaclav Snasel and Jiang, \{Xin Hua\} and Jeng-Shyang Pan",
booktitle = "Intelligent Data Analysis and Applications - Proceedings of the 2nd Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2015",
address = "德国",
}