In the night vision assistant driving systems with near IR active imaging, the contrast and resolution of images or videos
captured by cameras are drastically altered by back scattering in bad weather such as fog and mist etc, which brings a
hidden danger in the night driving. In order to remove weather effects from images and make vision information
captured by vision systems more valuable, it is imperative to make a study of the defog algorithm in laser night vision
images. Direct towards laser active imaging assistant driving system, Monocular Camera Machine Vision and ABA
Model are combined to restore the blurred images of driving environment in night fog day. In order to obtain the scene
depth information, the camera was calibrated firstly; then, the scene depth map by linear imaging model and the
Technical Standard of Highway Engineering was constructed. The brightness of each pixel at the receiver is composed of
scene point attenuation irradiance, back scattering irradiance and airlight illumination scattering intensity in ABA model
simply. By removing back scattering and airlight illumination scattering by particles to restore the image degraded in
foggy day.
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