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Pairwise Prediction-Error Expansion for Efficient Reversible Data Hiding

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5 Author(s)
Bo Ou ; Inst. of Inf. Sci., Beijing Jiaotong Univ., Beijing, China ; Xiaolong Li ; Yao Zhao ; Rongrong Ni
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In prediction-error expansion (PEE) based reversible data hiding, better exploiting image redundancy usually leads to a superior performance. However, the correlations among prediction-errors are not considered and utilized in current PEE based methods. Specifically, in PEE, the prediction-errors are modified individually in data embedding. In this paper, to better exploit these correlations, instead of utilizing prediction-errors individually, we propose to consider every two adjacent prediction-errors jointly to generate a sequence consisting of prediction-error pairs. Then, based on the sequence and the resulting 2D prediction-error histogram, a more efficient embedding strategy, namely, pairwise PEE, can be designed to achieve an improved performance. The superiority of our method is verified through extensive experiments.

Published in:

Image Processing, IEEE Transactions on  (Volume:22 ,  Issue: 12 )