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A Survey on Image and Video Dehazing

Amla Thomas1 , M. Azath2

Section:Survey Paper, Product Type: Journal Paper
Volume-3 , Issue-1 , Page no. 21-23, Jan-2015

Online published on Jan 31, 2015

Copyright © Amla Thomas , M. Azath . 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: Amla Thomas , M. Azath, “A Survey on Image and Video Dehazing,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.1, pp.21-23, 2015.

MLA Style Citation: Amla Thomas , M. Azath "A Survey on Image and Video Dehazing." International Journal of Computer Sciences and Engineering 3.1 (2015): 21-23.

APA Style Citation: Amla Thomas , M. Azath, (2015). A Survey on Image and Video Dehazing. International Journal of Computer Sciences and Engineering, 3(1), 21-23.

BibTex Style Citation:
@article{Thomas_2015,
author = {Amla Thomas , M. Azath},
title = {A Survey on Image and Video Dehazing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2015},
volume = {3},
Issue = {1},
month = {1},
year = {2015},
issn = {2347-2693},
pages = {21-23},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=354},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=354
TI - A Survey on Image and Video Dehazing
T2 - International Journal of Computer Sciences and Engineering
AU - Amla Thomas , M. Azath
PY - 2015
DA - 2015/01/31
PB - IJCSE, Indore, INDIA
SP - 21-23
IS - 1
VL - 3
SN - 2347-2693
ER -

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Abstract

Most of the computer applications use digital images. Digital image processing acts an important role in the analysis and interpretation of data, which is in the digital form. Images and videos of outdoor scenes are mainly affected by the bad weather conditions such as haze, fog, mist etc. It will result in poor visibility of the scene caused by the lack of quality. It will make awful impact on applications like object detection, tracking and surveillance system. One of the major challenges is the restoration of actual original image from the degraded image with at most accuracy. This survey aims to study about various existing methods such as polarization, dark channel prior, depth map based method etc. are used for dehazing.

Key-Words / Index Term

Haze, polarization, depth map, and contrast maximization, dark channel prior, Independent Component Analysis, Anisotropic Diffusion

References

[1] http://en.wikipedia.org/wiki/Haze
[2] R. T. Tan, “Visibility in bad weather from a single image,” in Proc. IEEE Conf. Comput.Vis. Pattern Recognit.,2008, pp.1-8.
[3] K. He, J. Sun, and X. Tang, “Single image haze removal using dark channel prior,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 12, pp. 2341–2353, Dec. 2011.
[4] R. Fattal, “Single image dehazing,” ACM Trans. Graph., vol. 27, no. 3,p. 72, Aug. 2008.
[5] J. Tarel, N. Hauti, “Fast visibility restoration from a single color or gray level image”,Proceedings of IEEE Internation Conference on Computer Vision (ICCV), Kyoto, Japan:IEEE Computer Society,2009, pp. 2201-2208.
[6] T. Treibitz and Y. Y. Schechner, “Polarization: Beneficial for visibility enhancement?” in Proceedings of IEEE Conference Computer Vision Pattern Recognition, 2009.
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[9] 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.
[10] Nayar, Shree K. and Srinivasa G. Narasimhan, “Vision in bad weather ", Proceedings of the Seventh IEEE International Conference on Computer Vision, vol. 2, pp. 820-827, 1999.
[11] Narasimhan, Srinivasa G. and Shree K. Nayar, " Interactive (de) weathering of an image Using physical models " , IEEE Workshop on Color and Photometric Methods in Computer Vision, vol. 6 , no. 6.4, p. 1., France, 2003.
[12] Tripathi, and S. Mukhopadhyay, "Single image fog removal using anisotropic diffusion.”Image Processing, Vol. 6, no. 7, pp. 966-975, 2012.
[13] http://www.ijcea.com/wpcontent/uploads/2014/06/RUCHIKA_SHARMA_et_al.pdf
[14] Cosmin Ancuti, and Codruta O. Ancuti, “image dehazing by multi scale fusion” IEEE Geoscience And Remote Sensing Letters, Vol. 11, No. 11, Nov 2014.