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Reseach Article

A Novel Method for the Contrast Enhancement of Fog Degraded Video Sequences

by C. Ramya, S. Subha Rani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 54 - Number 13
Year of Publication: 2012
Authors: C. Ramya, S. Subha Rani
10.5120/8623-2489

C. Ramya, S. Subha Rani . A Novel Method for the Contrast Enhancement of Fog Degraded Video Sequences. International Journal of Computer Applications. 54, 13 ( September 2012), 1-5. DOI=10.5120/8623-2489

@article{ 10.5120/8623-2489,
author = { C. Ramya, S. Subha Rani },
title = { A Novel Method for the Contrast Enhancement of Fog Degraded Video Sequences },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 54 },
number = { 13 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume54/number13/8623-2489/ },
doi = { 10.5120/8623-2489 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:55:32.660525+05:30
%A C. Ramya
%A S. Subha Rani
%T A Novel Method for the Contrast Enhancement of Fog Degraded Video Sequences
%J International Journal of Computer Applications
%@ 0975-8887
%V 54
%N 13
%P 1-5
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Videos taken under fog suffer from degradation such as severe contrast loss. Unfortunately, that effect of fog cannot be overcome by simple image processing techniques. In this paper, a novel method for the contrast enhancement of foggy video sequences is proposed based on the Contrast Limited Adaptive Histogram Equalization (CLAHE), which limits the intensity of each pixel to user determined maximum. Thus, it mitigates the degradation due to fog and improves the visibility of the video signal. Initially, the background and foreground images are extracted from the video sequence. Then, the background and foreground images are separately defogged by applying CLAHE. The defogged background and foreground images are fused into the new frame. Finally, the defogged video sequence is obtained. The experimental results show that the proposed method is more effective than the traditional method. Performance of the proposed method is also analyzed with contrast improvement index (CI) and Tenengrad criterion (TEN).

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Index Terms

Computer Science
Information Sciences

Keywords

video fog removal CLAHE image enhancement