Multilevel Reversible Data Hiding Based on Difference Histogram for 3D Point Cloud Models

This paper proposes a novel reversible data hiding method for 3D point cloud models. The difference histogram is constructed by calculating the coordinate differences between each two points which makes the difference histogram more concentrated. A multilevel histogram shifting mechanism is used in order to enlarge the embedding capacity. Experimental results validate the effectiveness of our method and demonstrate that it can achieve better performance compared with the previous related methods.