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A Review on Methods of Image Dehazing

by Shruti P. Patel, Manish Nakrani
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 133 - Number 12
Year of Publication: 2016
Authors: Shruti P. Patel, Manish Nakrani
10.5120/ijca2016908076

Shruti P. Patel, Manish Nakrani . A Review on Methods of Image Dehazing. International Journal of Computer Applications. 133, 12 ( January 2016), 44-49. DOI=10.5120/ijca2016908076

@article{ 10.5120/ijca2016908076,
author = { Shruti P. Patel, Manish Nakrani },
title = { A Review on Methods of Image Dehazing },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 133 },
number = { 12 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 44-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume133/number12/23841-2016908076/ },
doi = { 10.5120/ijca2016908076 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:31:01.708000+05:30
%A Shruti P. Patel
%A Manish Nakrani
%T A Review on Methods of Image Dehazing
%J International Journal of Computer Applications
%@ 0975-8887
%V 133
%N 12
%P 44-49
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Literature survey is an important for understanding and gaining much more knowledge about the specific area of a subject. The outdoor images captured in inclement weather are degraded due to the presence of haze, fog, rain and so on. Images of scenes captured in bad weather have poor contrasts and colors. This may cause difficulty in detecting the objects in the captured hazy images. Due to haze there is a trouble to many computer vision applications as it diminishes the visibility of the scene. This paper presents a study about different image dehazing methods to remove the haze from the hazy images captured in real world weather conditions to recover a fast and improved quality of haze free images. There is a improvement in terms of contrast, visible range and color fidelity. All these techniques are widely used in many applications such as outdoor Surveillance, object detection, underwater images, etc.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Outdoor images Dehazing Hazy Images Transmission map Polarization Dark Channel Prior(DCP) Improved DCP (IDCP).

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