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Fog and Haze Removal Based on Image DeHazing Technique

B. Naveen1 , P. Bharath Kumar Chowdary2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-10 , Page no. 116-120, Oct-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i10.116120

Online published on Oct 31, 2019

Copyright © B. Naveen, P. Bharath Kumar Chowdary . 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: B. Naveen, P. Bharath Kumar Chowdary, “Fog and Haze Removal Based on Image DeHazing Technique,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.10, pp.116-120, 2019.

MLA Style Citation: B. Naveen, P. Bharath Kumar Chowdary "Fog and Haze Removal Based on Image DeHazing Technique." International Journal of Computer Sciences and Engineering 7.10 (2019): 116-120.

APA Style Citation: B. Naveen, P. Bharath Kumar Chowdary, (2019). Fog and Haze Removal Based on Image DeHazing Technique. International Journal of Computer Sciences and Engineering, 7(10), 116-120.

BibTex Style Citation:
@article{Naveen_2019,
author = {B. Naveen, P. Bharath Kumar Chowdary},
title = {Fog and Haze Removal Based on Image DeHazing Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2019},
volume = {7},
Issue = {10},
month = {10},
year = {2019},
issn = {2347-2693},
pages = {116-120},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4905},
doi = {https://doi.org/10.26438/ijcse/v7i10.116120}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i10.116120}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4905
TI - Fog and Haze Removal Based on Image DeHazing Technique
T2 - International Journal of Computer Sciences and Engineering
AU - B. Naveen, P. Bharath Kumar Chowdary
PY - 2019
DA - 2019/10/31
PB - IJCSE, Indore, INDIA
SP - 116-120
IS - 10
VL - 7
SN - 2347-2693
ER -

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Abstract

Image dehazing is a technique to improve the images picked up in poor climate conditions, for instance, cloudiness and obscurity. Existing image dehazing systems are chiefly in perspective on dark channel prior. Since the dark channel isn`t reasonable for sky districts, a sky division and zone wised medium transmission based image dehazing methodology is proposed in this paper. Directly off the bat, sky areas are separated by quad-tree part based segment pixels area. By then, a medium transmission estimation methodology for sky locales is proposed in perspective on shading trademark view of sky areas. The medium transmission is then isolated by an edge sparing guided channel. Finally, in light of the assessed medium transmission, the hazed images are reestablished. Exploratory results demonstrate that the execution of the proposed procedure is better than that of existing methods. The reestablished image is progressively ordinary, particularly in the sky areas

Key-Words / Index Term

Image dehazing, image segmentation, dark channel prior

References

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