@inproceedings{50b7916e9dd54ab8ba8459f6a4a6424f,
title = "Dehazing of Aerial Images by Dark Channel and Gamma Correction",
abstract = "Hazed blankets during poor weather conditions make it very tough to interpolate the details from images captured by the satellite. The low temperatures in winter exacerbate smog by causing temperature inversions. By this paper, we present an effective method to improve the contrast of hazed images by computing its dark channel image, calculating the atmospheric light, recovering the scene radiance and refining it by gamma correction. On testing the algorithm on real aerial images, we obtain significant results. This method is applicable to colored and gray-scale images. The experimental results show the SSIM index values and correlation factor nearly equal to one, after executing the algorithm on hazed images.",
keywords = "Aerial image, Dark channel, Dehaze, Geo science",
author = "Aditi Chandra and Anukriti Singh and Rajesh Kumar and Nilanjan Dey",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 3rd International Conference and Workshops on Recent Advances and Innovations in Engineering, ICRAIE 2018 ; Conference date: 22-11-2018 Through 25-11-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/ICRAIE.2018.8710428",
language = "English",
series = "3rd International Conference and Workshops on Recent Advances and Innovations in Engineering, ICRAIE 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "3rd International Conference and Workshops on Recent Advances and Innovations in Engineering, ICRAIE 2018",
address = "United States",
}