Reversible Data Hiding by Using Adaptive Pixel Value Prediction and Adaptive Embedding Bin Selection

Wang, Dewang; Zhang, Xianquan; Yu, Chunqiang; Tang, Zhenjun

doi:10.1109/lsp.2019.2940873

Cited by 22 publications

(6 citation statements)

References 35 publications

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“…e signal-to-noise ratio refers to the ratio of the original signal energy to the noise energy. e higher the signal-tonoise ratio, the better the denoising effect is [34][35][36]. e formula is as follows:…”

Section: Simulation Signal and Analysismentioning

confidence: 99%

Research on the Noise Reduction Method of the Vibration Signal of the Hydrogenerator Unit Based on ITD-PE-SVD

Ren

Liu

Hu³

et al. 2021

Mathematical Problems in Engineering

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Aiming at the problem that the vibration signals of the hydrogenerator unit are nonlinear and nonstationary and it is difficult to extract the signal features due to strong background noise and complex electromagnetic interference, this paper proposes a dual noise reduction method based on intrinsic time-scale decomposition (ITD) and permutation entropy (PE) combined with singular value decomposition (SVD). Firstly, the vibration signals are decomposed by ITD to obtain a series of PRC components, and the permutation entropy of each component is calculated. Secondly, according to the set permutation entropy threshold, the PRC components are selected for reconstruction to achieve a noise reduction effect. On this basis, SVD is carried out, and the appropriate reconstruction order is selected according to the position of the singular value difference spectrum mutation point for reconstruction, so as to achieve the secondary noise reduction effect. The proposed method is compared with the LMD-PE-SVD and EMD-PE-SVD dual noise reduction method by simulation, taking the correlation coefficient and signal-to-noise ratio to evaluate the noise reduction performance and finding that the ITD-PE-SVD noise reduction has good noise reduction and pulse effect. Furthermore, this method is applied to the analysis of the upper guide swing data in the X-direction and Y-direction of a unit in a hydropower station in China, and it is found that this method can effectively reduce noise and accurately extract signal features, thus determining the vibration cause, which is helpful to improve the turbine fault recognition rate.

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Section: Simulation Signal and Analysismentioning

confidence: 99%

Research on the Noise Reduction Method of the Vibration Signal of the Hydrogenerator Unit Based on ITD-PE-SVD

Ren

Liu

Hu³

et al. 2021

Mathematical Problems in Engineering

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“…Owing to its reversibility, RDH attracts increasing interest. Up to now, RDH schemes are mainly based on difference expansion (DE) [12], histogram shifting (HS) [13], lossless compression [14], [15] and pixel error expansion (PEE) [16], [17]. These RDH techniques aim at a good tradeoff between embedding capacity and modification distortion.…”

Section: Introductionmentioning

confidence: 99%

Reversible Data Hiding in Encrypted Images With Secret Sharing and Hybrid Coding

Zhang

Qin

Tang

2023

IEEE Trans. Circuits Syst. Video Technol.

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Reversible data hiding in encrypted images (RD-HEI) is an essential data security technique. Most RDHEI methods cannot perform well in embedding capacity and security. To address this issue, we propose a new RDHEI method using Chinese remainder theorem-based secret sharing (CRTSS) and hybrid coding. Specifically, a hybrid coding is first proposed for RDH to achieve high embedding capacity. At the content owner side, a novel iterative encryption is designed to conduct block based encryption for perfectly preserving the spatial correlation of original blocks in their encrypted blocks. Then, the CRTSS with the constraints is exploited to generate multiple encrypted image shares, in which spatial correlations of the encrypted blocks are also preserved. Meanwhile, the CRTSS provides good security properties for the proposed method. Since there are strong spatial correlations in the blocks of each share, the datahider can exploit the proposed hybrid coding to perform data embedding for improving capacity. On the receiver side, even if some shares are corrupted/missing, the original image can be losslessly recovered as long as enough uncorrupted marked shares are obtained. Experiment results show that the proposed RDHEI method outperforms some state-of-the-art methods, including some secret sharing (SS) based methods in terms of embedding capacity.

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“…Reversible data hiding (RDH) 1 – 7 embeds secret data into the cover image for security transmission, and meanwhile guarantees the perfect recovery of both the embedded data and original image. Benefiting from the reversibility, RDH can be used in some sensitive applications, such as law enforcement, medical imaging, remote sensing and military, where the distortion for the cover image is unacceptable even if it is extraordinarily small.…”

Section: Introductionmentioning

confidence: 99%

Reversible data hiding with prediction error histogram decomposition and hybrid dimensional histogram modification

Zhang

et al. 2023

J. Electron. Imag.

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A reversible data hiding (RDH) method with prediction error histogram (PEH) decomposition and hybrid dimensional histogram modification is proposed. First, a global one-dimensional (1D) PEH is generated by pixel-based pixel value ordering predictor. The proposed method fully utilizes the pixels inside the range of the minimum and maximum of neighbors to decompose 1D-PEH into several sub 1D-PEHs. Then, each sub 1D-PEH is separated into two parts. The part with small-magnitude is used to construct a reduced two-dimensional (2D) PEH, whereas the rest is shifted for reversibility. Finally, data embedding is performed by modifying each reduced 2D-PEH to reduce distortion. Experimental results demonstrates that the proposed method outperforms some high-fidelity RDH methods.

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Reversible Data Hiding by Using Adaptive Pixel Value Prediction and Adaptive Embedding Bin Selection

Cited by 22 publications

References 35 publications

Research on the Noise Reduction Method of the Vibration Signal of the Hydrogenerator Unit Based on ITD-PE-SVD

Research on the Noise Reduction Method of the Vibration Signal of the Hydrogenerator Unit Based on ITD-PE-SVD

Reversible Data Hiding in Encrypted Images With Secret Sharing and Hybrid Coding

Reversible data hiding with prediction error histogram decomposition and hybrid dimensional histogram modification

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