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Stabilizing Atmospheric Turbulence in a Long Range Surveillance using Dark Channel Prior

by Abhijit R. Mange
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Number 19
Year of Publication: 2014
Authors: Abhijit R. Mange
10.5120/16906-6979

Abhijit R. Mange . Stabilizing Atmospheric Turbulence in a Long Range Surveillance using Dark Channel Prior. International Journal of Computer Applications. 96, 19 ( June 2014), 46-50. DOI=10.5120/16906-6979

@article{ 10.5120/16906-6979,
author = { Abhijit R. Mange },
title = { Stabilizing Atmospheric Turbulence in a Long Range Surveillance using Dark Channel Prior },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 96 },
number = { 19 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 46-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume96/number19/16906-6979/ },
doi = { 10.5120/16906-6979 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:22:14.088190+05:30
%A Abhijit R. Mange
%T Stabilizing Atmospheric Turbulence in a Long Range Surveillance using Dark Channel Prior
%J International Journal of Computer Applications
%@ 0975-8887
%V 96
%N 19
%P 46-50
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Various types of turbulences affect the visual quality during video surveillance. Turbulence such as fog or haze is responsible for image contrast. Removing this turbulence is a challenging problem in video surveillance. We used a method for stabilizing this atmospheric turbulence using dual tree complex wavelet fusion. Informative ROIs are selected using frame selection method from good quality frames. Morphological erosion is done afterwards. Image fusion is done using dual tree complex wavelet transform so as to fuse two images. In this paper, dark channel prior mechanism is proposed for haze removal. Finally image quality assessment is done. This proposed method is shown to outperform existing one and provide enhance visual quality in the range of surveillance scenarios.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Mitigation Turbulence Segmentation Restoration.

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