Reversible Watermarking Based on Statistical Quantity Histogram

The histogram shifting based reversible watermarking techniques have attracted increasing interests due to their low computational complexity, high visual quality and considerable capacity However, those methods suffer from unstable performance because they tail to consider the diversity of gray-scale histograms for various images For this purpose. we develop a novel histogram shifting based method by introducing a block statistical quantity (BSQ) The similarity of BSQ distributions for different images reduces the diversity of grayscale histograms and guarantees the stable performance of the proposed method We also adopt different embedding schemes to prevent the issues of overflow and underflow Moreover, by selecting the block size, the capacity of the proposed watermarking scheme becomes adjustable The experimental results of performance comparisons with other existing methods are provided to demonstrate the superiority of the proposed method