@inproceedings{2bf27b7e34bc4721a53bc5ab2a841954,
title = "Traffic Image Defogging Based on Bit-Plane Decomposition",
abstract = "The image of Highway Traffic defogging has become an important part in the traffic security monitoring system. The studies in the image field on this topic are mainly based on the optical image transform theory and mathematical physics, with a number of fruitful results have been achieved, this paper proposes a method combining the mathematical morphology and the bit plane decomposition coding for traffic image defogging, compared with the traditional image defogging methods, the new method makes the effect increased displayed on PSNR values.",
keywords = "Bit-planes, Image defogging, Mathematical morphology",
author = "Yuanfang Zhang and Jiangbin Zheng and Xuejiao Kou and Yefan Xie",
note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018 ; Conference date: 07-07-2018 Through 08-07-2018",
year = "2018",
doi = "10.1007/978-3-030-00563-4_81",
language = "英语",
isbn = "9783030005627",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "827--837",
editor = "Amir Hussain and Bin Luo and Jiangbin Zheng and Xinbo Zhao and Cheng-Lin Liu and Jinchang Ren and Huimin Zhao",
booktitle = "Advances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Proceedings",
}