  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.
