Histogram Based Watermarking Algorithm Robust to Geometric Attack with High Embedding Capacity

The image's histogram represents the statistical feature of distribution of pixels and is not related to the specific positions of pixels. Tbis feature gives bistogram-based algoritbms tbe ability to resist geometric attacks, but the embedding capacity is limited. In tbis paper we combine two typical bistogram-based functions and give two relationsbips to tbree bins in a group. So tbe embedding capacity increases. Experiment results sbow tbe embedding capacity increases and our algorithm's performance in geometric attacks is close to typical existing bistogram-based algoritbms.