@inproceedings{3d53a291aa5c44ff9782c73be0b942a3,
title = "Efficient airlight estimation for defogging",
abstract = "This paper presents a new technique to efficiently estimate atmospheric light of visibility restoration algorithms from a hardware implementation perspective. The quality of defogged images depends on the accuracy of estimated atmospheric light, where it is typically estimated from the brightest portion of foggy images. In most existing algorithms, long execution time and large memory resources are required to find the largest intensity values on hardware platform. We explore an efficient method to measure atmospheric light by detecting sky region.",
keywords = "advanced driver assistance systems, airligh estimation, defogging/dehazing, FPGA implementation, image enhancement/restoration",
author = "Yeejin Lee and Changyoung Han and Junseong Park and Seungkyu Park and Nguyen, \{Truong Q.\}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 11th International SoC Design Conference, ISOCC 2014 ; Conference date: 03-11-2014 Through 06-11-2014",
year = "2015",
month = apr,
day = "16",
doi = "10.1109/ISOCC.2014.7087673",
language = "English",
series = "ISOCC 2014 - International SoC Design Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "154--155",
booktitle = "ISOCC 2014 - International SoC Design Conference",
}