title: Pairwise prediction-error expansion for efficient reversible data hiding.
abstract: 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.
authors.forename: Bo
authors.initials: B
authors.lastname: Ou
authors.forename: Xiaolong
authors.initials: X
authors.lastname: Li
authors.forename: Yao
authors.initials: Y
authors.lastname: Zhao
authors.forename: Rongrong
authors.initials: R
authors.lastname: Ni
authors.forename: Yun-Qing
authors.initials: YQ
authors.lastname: Shi