A Brief Review on Image Restoration of Foggy Image with its Techniques

Authors

  • J.S. Sikarwar Department of CSE, VITM Gwalior, City Gwalior, Madhya Pradesh, India
  • A. Vidwans Department of CSE, VITM Gwalior, City Gwalior, Madhya Pradesh, India

DOI:

https://doi.org/10.37591/joipprp.v3i1.633

Keywords:

Fog removal, image enhancement, visibility restoration

Abstract

Fog removal also known as visibility restoration refers to the different method that aims to reduce or remove the degradation that has occurred while the digital image was being obtained. The degradation may be due to various factors like relative object-camera motion, blur due to camera miss-focus, relative atmospheric turbulence and others. This paper has focused on the various fog removal techniques like dark channel prior (DCP), CLAHE, wiener filtering, bilateral filtering.

Cite this Article
J.S. Sikarwar, A. Vidwans. A brief review on image restoration of foggy image with its techniques. Journal of Image Processing & Pattern Recognition Progress. 2016; 3(1): 45–51p.

References

Zhao et al. Single Image Fog Removal Based on Local Extrema. IEEE/CAA Journal of Automatica Sinica. Apr 2015; 2(2): 158–165p.

Wang et al. A Novel Visibility Restoration Algorithm for Single Hazy Images. 2013 IEEE International Conference on Systems, Man, and Cybernetics. 847–851p.

Yadav G, Maheshwari S, Agarwal A, et al. Fog Removal Techniques from Images: A Comparative Review and Future Directions. IEEE International Conference on Signal Propagation and Computer Technology (ICSPCT). 2014; 44–52p.

Singh G and Singh G. Evaluation of Various Digital Image Fog Removal Algorithms. International Journal of Advanced Research in Computer and Communication Engineering. Jul 2014; 3(7): 7536–7540p.

Kaur H and Mahajan R. A Review on Various Visibility Restoration Techniques. International Journal of Advanced Research in Computer and

Communication Engineering. May 2014; 3(5): 6622–6625p.

Liu et al. Dark Channel Prior based Image De-hazing: A Review. 2015 5th International Conference on Information Science and Technology (IClST). Apr 24–26 2015, Changsha, Hunan, China.

Loza et al. Fast Algorithm for Restoration of Foggy Images. IEEE Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference. 2013; 735–738p.

Park D and KO H. Fog-degraded Image Restoration using Characteristics of RGB Channel in Single Monocular Image. IEEE International Conference on Consumer Electronics (ICCE). 2012; 139–140p.

Kanthan MR and Sujatha SN. Single Image Fog Removal using Coin Filters. IEEE International Conference on Computational Intelligence and Computing Research; 2014.

Zhao et al. Single Image Fog Removal Based on Local Extrema. IEEE/CAA Journal of Automatica Sinica. Apr 2015; 2(2): 158–165p.

Huang et al. Visibility Restoration of Single Hazy Images Captured in Real-World Weather Conditions. IEEE Transactions on Circuits and Systems for Video Technology. 2014; 1–11p.

Spinneker et al. Fast Fog Detection for Camera Based Advanced Driver Assistance Systems. IEEE 17th International Conference on Intelligent Transportation Systems (ITSC). Qingdao, China, Oct 8–11, 2014; 1369–1374p.

Downloads

Published

2016-04-18

Issue

Vol. 3 No. 1 (2016)

Section

Research Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.