Multilevel Reversible Video Watermarking with Improvement on Occluded Areas

In this paper, affect of occlusion for reversible video watermarking algorithms is focused in a multilevel concept. Motion compensated prediction error become higher between video frames which include occlusion areas. Thus, watermarking algorithm which exploits prediction error has small embedding capacity and poor image quality. In order to get maximum efficiency in a motion compensated video watermarking, occlusion detection algorithms should be taken into consider. In this study, a multilevel reversible video watermarking algorithm exploits histogram modification and occlusion detection algorithms has been proposed. Our method has better visual quality and embedding capacity.

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