Enhancement of video features for vision restoration of dangerous head light glare affected scenario

Abstract

Though there is a study concerning vision restoration of headlight-glare vision, enhancing visual quality is able to be improved. Current frame information would contain more video features instead of restoring it only from the previous frame in order to achieve higher quality of vision during dangerous-glare encounter. Therefore, this paper proposes a new method recovering information from the surrounding area of glare centroid which distorts the luminance. Three-dimensional recursive search (3DRS) is assigned to retrieve luminance information from Macroblock (MB) of the previous non-glare affected frames. Tone mapping is also applied to improve luminance of the distorted MB. The result shows that frames with the glare area under 15% implemented the proposed method acquires higher peak-signal-to-noise ratio (PSNR) than those applied glare simulation. Furthermore, the combination of restoration method and the proposed one results in the best performance of increasing PSNR among applying only a single method.