压缩差值后的双直方图平移可逆信息隐藏方法

Bi-histogram Shifting Reversible Data Hiding Method After Compressed Differences

基于直方图平移(Histogram Shifting, HS)的可逆信息隐藏(Reversible Data Hiding, RDH)是目前信息隐藏中最为普遍的技术,特别是对于结合了差值扩展和直方图平移的方法来说,可以实现较高的嵌入容量和较低的图像失真。文中提出了一种压缩差值后的双直方图平移的可逆信息隐藏方法。该算法通过综合压缩、差值及优化后的直方图平移这3种方法,改进了现有基于直方图平移方法嵌入容量不够大的缺陷,同时也给出了图像像素值在平移过程中产生溢出的处理方式。在接收端,不仅能够完整地提取数据,也能够进行无损的图像恢复。将所提方法与当前流行的4种方法进行了比较,所提方法在嵌入容量方面优于现有的基于直方图平移的算法,其嵌入容量与近年的4种方法相比提升了23%,11%,57%和93%。实验结果表明,所提方法的嵌入容量大幅增加,能够有效地实现大嵌入容量的可逆信息隐藏。

Reversible data hiding(RDH) based on histogram shifting(HS) is the most common technology in current information hiding, especially for the combined method of difference extension and histogram shifting, which can achieve high embedding capacity and low image distortion.In this paper, a reversible information hiding method of bi-histogram shifting after compressed difference is proposed.The algorithm improves the defect of insufficient embedding capacity of the existing method based on histogram shifting by synthesizing three methods of compression, difference and optimized histogram shifting.At the same time, the processing method for the overflow of the image pixel value in the shifting process is also given.At the receiving end, not only can the data be completely extracted, but also lossless image recovery can be performed.After the experiment, a comparison is made with the four current popular schemes.Our method outperforms existing histogram shifting based algorithms in terms of embedding capacity.Compared with other methods, its embedded capacity improves by 23%,11%,57% and 93%.Experimental results show that the proposed method greatly increases the embedding capacity and can effectively realize reversible information hiding with large embedding capacity.