@inproceedings{88ce1a95be094c67abe9537e22b1513e,
title = "Optimization of DCP dehazing algorithm through sky segmentation",
abstract = "The Dark Channel Prior dehazing algorithm degrades scenes of the sky when attempting to dehaze them, ruining their quality by trying to find a solid scene that isn't present. Due to this, a simple algorithm to identify sky regions is proposed and applied in order to improve its output. The main procedure described in this paper is to replace the original image's sky region into the DCP-processed image. The result is a dehazed image through the DCP algorithm that has a natural looking sky region.",
keywords = "Dark Channel Prior, Dehazing, Edge Detection, Sky Recognition",
author = "Vargas-Campos, {Ignacio Elias} and Chavarria-Zamora, {Luis Alberto}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE. All rights reserved; 2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022 ; Conference date: 19-02-2022 Through 20-02-2022",
year = "2022",
doi = "10.1109/SCEECS54111.2022.9740821",
language = "Ingl{\'e}s",
series = "2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Deepanshu Saxena",
booktitle = "2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022",
}