摘要： 在基于直方图平移的可逆信息隐藏算法中，应用二叉树算法向接收方传送峰值像素和零值像素对，通过三角向后预测算子和错误能量估计可以提高负载和图像质量。但鉴于三角向后预测算子的预测准确度不高，提出一种基于邻域预测差值直方图平移的可逆信息隐藏算法。采用领域均值预测代替三角向后预测，并对错误能量估计和提取秘密信息算法进行相应的改进。实验结果表明，在常用的7张实验图像中，与双二叉树错误能量估计算法相比，该可逆信息隐藏算法的满负载量平均提高8.7%，在某些相同参数条件下负载提高达到300%，其预测更加准确、负载量更高，并且能有效提高破译难度。

关键词: 预测差值, 直方图平移, 信息隐藏, 二叉树, 错误能量

Abstract: Binary tree structure solves the problem of communicating pairs of peak points. The triangle predictor and error energy estimator improve the image quality and payload. In view of the inaccurate of the triangle predictor, a reversible information hiding algorithm based on neighborhood prediction difference histogram shifting is proposed. It uses neighborhood prediction instead of triangle prediction, and the error energy and the way to extract the secret message are accordingly modified. In the experiment of the seven most comment pictures, the capacity is improved by an average of 8.7%. In some same situations, the capacity is improved by 300%. Experimental results reveal that the proposed method has a more precise predictor and a higher capacity and it is more confidential.

Key words: prediction difference, histogram shifting, information hiding, binary tree, error energy

中图分类号: 

• TP391.41