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Hybrid Dehazing Technique using IDCP with Histogram Equalization for Color Image

by Anupama, Nidhi Singh, Lavi Tyagi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 1
Year of Publication: 2017
Authors: Anupama, Nidhi Singh, Lavi Tyagi
10.5120/ijca2017915295

Anupama, Nidhi Singh, Lavi Tyagi . Hybrid Dehazing Technique using IDCP with Histogram Equalization for Color Image. International Journal of Computer Applications. 174, 1 ( Sep 2017), 1-5. DOI=10.5120/ijca2017915295

@article{ 10.5120/ijca2017915295,
author = { Anupama, Nidhi Singh, Lavi Tyagi },
title = { Hybrid Dehazing Technique using IDCP with Histogram Equalization for Color Image },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2017 },
volume = { 174 },
number = { 1 },
month = { Sep },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number1/28368-2017915295/ },
doi = { 10.5120/ijca2017915295 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:20:58.022705+05:30
%A Anupama
%A Nidhi Singh
%A Lavi Tyagi
%T Hybrid Dehazing Technique using IDCP with Histogram Equalization for Color Image
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 1
%P 1-5
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Haze formation is the blend of air-light and attenuation. Attenuation reduces the contrast and air-light enlarges the whiteness in the captured image. Fog and haze are atmospheric conditions generated by floating particles, degrade the quality of images. Haze removal algorithms have become more beneficial for several vision applications. As we know there is no single technique i.e. accurate for all different kind of problems and circumstances. The existing approaches have neglected many issues like noise reduction and non-uniform illumination which will be presented in the output image of the existing haze removal algorithms. This dissertation has proposed a new haze removal technique HDCP which will integrate improved dark channel prior with histogram equalization to remove the haze from color images and weighted guided filter is used to decrease noise from images. The proposed algorithm is implemented and tested in MATLAB. The results have shown that the proposed algorithm has shown quite effective results.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Attenuation Air-light Weighted guided filter Bilateral filter Histogram Equalization.

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