Open Access   Article Go Back

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.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

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 -

VIEWS PDF XML
484 293 downloads 165 downloads
  
  
           

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

[1]. Kaiming He, Jian Sun and Xiaoou Tang,” Single image haze removal using Dark Channel Prior,” IEEE Transactions on Pattern analysis and Machine intelligence, Vol. 33, No. 12, December 2011.
[2]. Md. Imtiyaz Anwar , Arun Khosla ”Vision enhancement through single image fog removal” Engineering Science and technology.
[3]. R. R. Tan, “visibility in bad weather from a single image,” IEEE Conference on CVPR, 2008.
[4]. R. Fattal, “Single Image Dehazing,” SIGGRAPH, 2008.
[5]. Narasimhan, Srinivasa G. and Shree K. Nayar, "Chromatic framework for vision in bad weather", The Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 598-605, 2000.
[6]. Z. Tao, S. Changyan1 & W. Xinnian1, “Atmospheric scattering-based multiple images fog removal,”4th International Congress on Image and Signal Processing, 2011.
[7]. Schechner, Yoav Y., Srinivasa G. Narasimhan and Shree K. Nayar, "Instant dehazing of images using polarization", The Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition ( CVPR), vol. 1, pp. I-325, 2001.
[8]. Shwartz, Sarit, Einav Namer and Yoav Y. Schechner, "Blind haze separation", IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 1984-1991, 2006.
[9]. T.Veeranjaneyulu, N H Sankaramurthy, Ravi Prasad Kini, A.Prasanna Kumar & Sibsambhu Kar” A Fast Method of Fog and Haze Removal” ICASSP , 2016.
[10]. N Hautière, JP Tarel, J Lavenant, D Aubert, Automatic fog detection and estimation of visibility distance through use of onboard camera. Mach. Vis.Appl. 17(1), 8–20 (2006)
[11]. K. He, J. Sun, and X. Tang, “Guided image filtering,” in Proc. Europ. Conf. on Comp. Vis., Sep. 2010.
[12]. Ritesh Tiwari and Anil Khandelwal “ Fog Removal Technique with Improved Quality through FFT”DOI: 10.23883/IJRTER.2017.3395.FNOIR