Foggy Video Restoration Using Guided Filter
Mounika Kanala1 , Shaik Taj Mahaboob2
Section:Research Paper, Product Type: Journal Paper
Volume-6 ,
Issue-8 , Page no. 847-852, Aug-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6i8.847852
Online published on Aug 31, 2018
Copyright © Mounika Kanala, Shaik Taj Mahaboob . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Mounika Kanala, Shaik Taj Mahaboob, “Foggy Video Restoration Using Guided Filter,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.847-852, 2018.
MLA Style Citation: Mounika Kanala, Shaik Taj Mahaboob "Foggy Video Restoration Using Guided Filter." International Journal of Computer Sciences and Engineering 6.8 (2018): 847-852.
APA Style Citation: Mounika Kanala, Shaik Taj Mahaboob, (2018). Foggy Video Restoration Using Guided Filter. International Journal of Computer Sciences and Engineering, 6(8), 847-852.
BibTex Style Citation:
@article{Kanala_2018,
author = {Mounika Kanala, Shaik Taj Mahaboob},
title = {Foggy Video Restoration Using Guided Filter},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2018},
volume = {6},
Issue = {8},
month = {8},
year = {2018},
issn = {2347-2693},
pages = {847-852},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2783},
doi = {https://doi.org/10.26438/ijcse/v6i8.847852}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i8.847852}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2783
TI - Foggy Video Restoration Using Guided Filter
T2 - International Journal of Computer Sciences and Engineering
AU - Mounika Kanala, Shaik Taj Mahaboob
PY - 2018
DA - 2018/08/31
PB - IJCSE, Indore, INDIA
SP - 847-852
IS - 8
VL - 6
SN - 2347-2693
ER -
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Abstract
When videos are captured under the influence of atmospheric or climatic conditions, the overall quality of the image gets effected with fog and haze. This work focuses on haze removal which is also called as the visibility restoration which can infer to the various procedures employed for removing or reducing degradation from the image. Degradation in image can be due to various reasons such as miss-focus, relative atmospheric conditions and object-camera motion. This paper presents a method in which the fog in video can be removed by using dark channel method followed by Guided filtering. Guided filter has better filtering capability, fast running time and gives a clear haze free video. So, we can say that this method can be employed in real-life settings or video applications. Restoration of hazy videos is important in computer graphics, remote sensing and outdoor surveillance.
Key-Words / Index Term
Guided filter, dark channel method, Transmission map, Video Restoration
References
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