A RAIN PIXEL RESTORATION ALGORITHM FOR VIDEOS WITH DYNAMIC SCENES
V. Sridevi, P Vanitha Malarvizhi, P. Mathivannan · 2015
Rain removal from a video is a challenging problem due to random spatial distribution and motion of rain. Rain removal is a difficult task in videos. Rain removal is important and useful task in security surveillance, movie editing applications. In indoor environment, video is captured in ideal environment because artificial illumination is formed. On other hand in outdoor environment, it is important to remove weather effect. Outdoor vision systems are used for various purposes such as tracking, recognition and navigation. Current systems do not we will not taken the account for common weather conditions such as rain, snow, fog and mist. Rain consists of spatial distributed droplets of rain. . Rain changes the intensity in images and videos that can severely impair the performance of outdoor vision systems.. When light passes through the rain drop it get reflects and refracts from a large field of view towards the camera, creating sharp intensity patterns in images and videos. A group of such falling drops results in complex space and time varying signals in videos. If we apply different types of filter to remove the rain its gets motion blurred. So we have to develop for all weather conditions. The rainy videos which are pixels exhibit small but frequent intensity changes in the illumination change moving camera etc. To remove the rainy effect, it is to detect the fluctuations caused by the rain, and replace it with the original values. In the paper we have considered the rainy videos to remove the blur and improve the accuracy of the videos.