Vision restoration of dangerous head light glare affected scenario

Vehicle´s head light glare is very dangerous problem of driving at night. It instantly reduces driver sight to obstruction on road. The high luminance in glare distorts a driver´s vision in large area and very difficult to restore with single frame image processing. In this paper, we present a vision restoration for glare affected scenes by using previous frames information regarding to motion vector (MV) that are derived from video decoder. We adopt three-dimensional recursive search (3DRS) motion estimation method to re-estimate new motion vectors (MV₁) to select effective information from the previous non-glare affected frames. Then MV₁ are extrapolated and refined. The defected area is restored using motion compensation. The results show that our proposed solutions can restore vision from glare area and increase significant driver´s obstruction detection.