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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IFSA Publishing, S.L.
2014-12-01
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| Series: | Sensors & Transducers |
| Subjects: | |
| Online Access: | http://www.sensorsportal.com/HTML/DIGEST/december_2014/Vol_183/P_2568.pdf |
| Summary: | 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. |
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| ISSN: | 2306-8515 1726-5479 |