In this paper, we propose a improved 2D-PEH based on double prediction-error. First,different from previous 2D-PEH, the proposed 2D-DPEH is established by selecting two distinct predictors with low correlation to calculate double prediction errors for each pixel. In addition, we adopt DP to optimize the selection of expansion bins, speeding up the running time and improving the quality of the embedded image. Finally,we combined the proposed method with C-PEE and original MHM, then designed comparative experiments with state of-the-art Pee-based methods in recent years to verify the superiority of the proposed algorithm and extend PEE into a more general case.

翻译：本文提出了一种基于双预测误差的改进型2D-PEH方法。首先，与传统的2D-PEH不同，所提出的2D-DPEH通过选择两个低相关性的不同预测器，为每个像素计算双预测误差。其次，采用DP优化扩展箱的选取，从而加快运行时间并提升嵌入图像质量。最后，将所提方法与C-PEE及原始MHM相结合，并与近年来的最新PEE方法设计对比实验，以验证所提算法的优越性，并将PEE推广至更一般的情况。