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Reseach Article

Visibility Restoration Algorithm using Bilateral Filtering

by Seles Xavier, Reshmi R.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 151 - Number 2
Year of Publication: 2016
Authors: Seles Xavier, Reshmi R.
10.5120/ijca2016911683

Seles Xavier, Reshmi R. . Visibility Restoration Algorithm using Bilateral Filtering. International Journal of Computer Applications. 151, 2 ( Oct 2016), 25-31. DOI=10.5120/ijca2016911683

@article{ 10.5120/ijca2016911683,
author = { Seles Xavier, Reshmi R. },
title = { Visibility Restoration Algorithm using Bilateral Filtering },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 151 },
number = { 2 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 25-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume151/number2/26207-2016911683/ },
doi = { 10.5120/ijca2016911683 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:56:53.654888+05:30
%A Seles Xavier
%A Reshmi R.
%T Visibility Restoration Algorithm using Bilateral Filtering
%J International Journal of Computer Applications
%@ 0975-8887
%V 151
%N 2
%P 25-31
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The visibility restoration of images is effected by various kinds of weather conditions like fog, mist, sandstorm, rain etc. This poor visibility will cause failure in the image processing applications like video surveillance, object detection, object recognition, intelligent transportation etc. The traditional visibility restoration will not requisitely restore the hazy images, because of the poor estimation of the haze thickness and color parameters. This work proposes a visibility restoration algorithm for images taken during sandstorm conditions. Haze thickness and color parameters can be accurately estimated and in turn produces a high- quality image with clear visibility and vivid color. Haze thickness estimation uses Laplacian distribution model and Gamma correction techniques. Using the estimated color parameters, each color channel can be equalized and thus overcoming the color cast problems. Finally, restoration function is used to restore the haze-free image. A bilateral filtering is proposed so as to improve the time consumption of the algorithm by replacing the soft matting technique. Thus the limitations of the traditional methods can be resolved

References
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Index Terms

Computer Science
Information Sciences

Keywords

Gamma Correction Dark Channel Prior Bilateral Filter Visibility Restoration