High-fidelity reversible data hiding using dynamic prediction and expansion

Tianxue Li; Yan Ke; Minqing Zhang; Yu Lei; Yi Ding

doi:10.1117/1.JEI.28.1.013013

23 January 2019 High-fidelity reversible data hiding using dynamic prediction and expansion

Tianxue Li, Yan Ke, Minqing Zhang, Yu Lei, Yi Ding

Author Affiliations +

Journal of Electronic Imaging, Vol. 28, Issue 1, 013013 (January 2019). https://doi.org/10.1117/1.JEI.28.1.013013

Abstract

With the aim of reducing the distortion of the marked image to realize high-fidelity reversible data hiding (RDH), we propose an RDH scheme based on dynamic prediction and expansion (DPE). By introducing a dynamic pixels-value-ordering (D-PVO) method into DPE, a full reversibility can be achieved. The pixels of the cover image are predicted by sorting their cross-over neighbors and using the two end pixels or the median pixels to conduct the prediction. The covert data are embedded by using prediction-error-expansion. We have theoretically proved higher prediction accuracy for the proposed method compared with the two existing classical prediction methods. In our experiments, we first verify the prediction accuracy of D-PVO by applying it to Gaussian distributed sampled data. Next, we perform experiments on the standard pictures from USC-SIPI and Kodak image datasets. The experimental results demonstrate that the proposed scheme can ensure a full recovery of the original image and a higher fidelity of the marked cover images, and the peak signal-to-noise ratio can exceed 60.00 dB when embedding capacity reaches 10,000 bits.

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Tianxue Li, Yan Ke, Minqing Zhang, Yu Lei, and Yi Ding "High-fidelity reversible data hiding using dynamic prediction and expansion," Journal of Electronic Imaging 28(1), 013013 (23 January 2019). https://doi.org/10.1117/1.JEI.28.1.013013

Received: 14 June 2018; Accepted: 19 December 2018; Published: 23 January 2019

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