Video-based Water Drop Detection and Removal Method for a Moving Vehicle

摘要

The removal of water drops from video frames recorded from a moving vehicle is a challenging task with respect to the videos from a fixed scene. It would also enhance the performance of image-based driving assistance systems in rainy weather. Therefore, a method for detecting and removing water drops from video frames is proposed herein. The detection of water drops involves several steps, including histogram equalization, frame intersection, binarization and shape checking. Detected drops are then removed according to their location to achieve a desirable result. In the experimental study, the demonstration shows that the water drops in the video frames can be removed clearly. Simulation results also show that the method can achieve a maximum PSNR (peak signal-to-noise ratio) of 33 dB. These results show the effectiveness of the proposed method.