Feature-Based Full-Frame Image Stabilization

Digital image stabilization usually discards boundary pixels and outputs a smaller video. In this paper, we present a new digital image stabilization algorithm that preserves the frame size of output video by pixel filling. The proposed algorithm eliminates the accumulation error by directly estimating the global motions in a transformation chain with reference to a fixed frame. A feature matching method is adopted to save the computational cost of the global motion estimation and to handle large motions. The experimental results show that the proposed algorithm produces stabilized full-frame video sequences with better frame alignment.