Optimization of endoscopic video stabilization by local motion exclusion

Hitherto video stabilization algorithms for different types of videos have been proposed. Our work majorly focuses on developing stabilization algorithms for endoscopic videos which include distortions peculiar to endoscopy. In this paper, we deal with the optimization of the motion detection procedure which is the most important step in the development of a video stabilization algorithm. It presents a robust motion estimation procedure to enhance the quality of the outcome. The outcome of the later steps in the stabilization, namely motion compensation and image composition depend on the level of precision of the motion estimation step. The results of a previous version of the stabilization algorithm are here compared to a new optimized version. Furthermore, the improvements of the outcomes using the video quality estimation methods are also discussed.