The Defogging Algorithm for the Vehicle Video Image Based on Extinction Coefficient

For the serious visual obstacle problem to be caused by rain-haze disasters, the method is proposed that a fog-haze medium transfer rate valuation model is established using the extinction coefficient characteristics. In this way, the tunnel monitoring video image will be restored by fog-haze image...

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Main Authors: Li Yan-Yan, LUO Yu, LONG Wei, Yang Guo-Tao
Format: Article
Language:English
Published: IFSA Publishing, S.L. 2014-12-01
Series:Sensors & Transducers
Subjects:
Online Access:http://www.sensorsportal.com/HTML/DIGEST/december_2014/Vol_183/P_2568.pdf
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spelling doaj-cf0017f5f27542b0b5a1b5f7c9fb3b542020-11-25T02:47:32ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792014-12-0118312227232The Defogging Algorithm for the Vehicle Video Image Based on Extinction CoefficientLi Yan-Yan0LUO Yu1LONG Wei2Yang Guo-Tao3School of Manufacturing Sci. and Eng., Sichuan University, Chengdu 610065, ChinaSchool of Manufacturing Sci. and Eng., Sichuan University, Chengdu 610065, ChinaSchool of Manufacturing Sci. and Eng., Sichuan University, Chengdu 610065, ChinaSchool of Manufacturing Sci. and Eng., Sichuan University, Chengdu 610065, ChinaFor the serious visual obstacle problem to be caused by rain-haze disasters, the method is proposed that a fog-haze medium transfer rate valuation model is established using the extinction coefficient characteristics. In this way, the tunnel monitoring video image will be restored by fog-haze image degradation model. Due to the atmospheric visibility from the scattering type visibility meter, the estimates to fog-haze medium bit rate is more close to reality. The algorithm of process to be built by the method is very clear, and overcome the drawbacks of affect video fluency that needs a large number of time-consuming calculation through traditional methods.http://www.sensorsportal.com/HTML/DIGEST/december_2014/Vol_183/P_2568.pdfVehicle video imageDefogging algorithmExtinction coefficientFog-haze medium transmission rate.
collection DOAJ
language English
format Article
sources DOAJ
author Li Yan-Yan
LUO Yu
LONG Wei
Yang Guo-Tao
spellingShingle Li Yan-Yan
LUO Yu
LONG Wei
Yang Guo-Tao
The Defogging Algorithm for the Vehicle Video Image Based on Extinction Coefficient
Sensors & Transducers
Vehicle video image
Defogging algorithm
Extinction coefficient
Fog-haze medium transmission rate.
author_facet Li Yan-Yan
LUO Yu
LONG Wei
Yang Guo-Tao
author_sort Li Yan-Yan
title The Defogging Algorithm for the Vehicle Video Image Based on Extinction Coefficient
title_short The Defogging Algorithm for the Vehicle Video Image Based on Extinction Coefficient
title_full The Defogging Algorithm for the Vehicle Video Image Based on Extinction Coefficient
title_fullStr The Defogging Algorithm for the Vehicle Video Image Based on Extinction Coefficient
title_full_unstemmed The Defogging Algorithm for the Vehicle Video Image Based on Extinction Coefficient
title_sort defogging algorithm for the vehicle video image based on extinction coefficient
publisher IFSA Publishing, S.L.
series Sensors & Transducers
issn 2306-8515
1726-5479
publishDate 2014-12-01
description For the serious visual obstacle problem to be caused by rain-haze disasters, the method is proposed that a fog-haze medium transfer rate valuation model is established using the extinction coefficient characteristics. In this way, the tunnel monitoring video image will be restored by fog-haze image degradation model. Due to the atmospheric visibility from the scattering type visibility meter, the estimates to fog-haze medium bit rate is more close to reality. The algorithm of process to be built by the method is very clear, and overcome the drawbacks of affect video fluency that needs a large number of time-consuming calculation through traditional methods.
topic Vehicle video image
Defogging algorithm
Extinction coefficient
Fog-haze medium transmission rate.
url http://www.sensorsportal.com/HTML/DIGEST/december_2014/Vol_183/P_2568.pdf
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