Implementation of Real-time Image De- Hazing for Vehicles in Foggy Weather
نویسنده
چکیده
Image de-hazing is an important and challenging research topic in computer vision. Visibility in poor weather condition is severely degraded by scattering of light due to suspended particles in the atmosphere such as haze and fog. In this paper, we propose defogging method for hazed video in vehicles based on haze transmission estimation method to estimation depth of haze. Formation of fog is the function of the depth. One of the major applications is to avoid accidents in air, on sea and on the road. Thus, it is very necessary to make these vision algorithms free from weather changes.
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