Multiple moduli prediction error expansion reversible data hiding

Căciulă, Ion; Coanda, Henri; Coltuc, Dinu

doi:10.1016/j.image.2018.11.005

Cited by 24 publications

(10 citation statements)

References 15 publications

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“…However, the reversibility of the proposed scheme still replies on the existence of zero value points in the histogram. As further development, Caciula et al 18 investigated a multiple moduli prediction error expansion approach to achieve reversible data hiding. Thanks to the introduced linear programming model, the specific moduli is selected so as to maximize the embedding bit rate.…”

Section: Related Workmentioning

confidence: 99%

Border following–based reversible watermarking algorithm for images with resistance to histogram overflowing

Tang

Zhou

Liu

et al. 2020

International Journal of Distributed Sensor Networks

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Histogram shifting is an effective manner to achieve reversible watermarking, which works by shifting pixels between the peak point and its nearest zero point in histogram to make room for watermark embedding. However, once zero point is absent, the algorithm suffers from overflowing problem. Even though some works attempt to deal with this risk by introducing auxiliary information, such as a location map, they occupy a lot of embedding capacity inevitably. In this article, in order to deal with overflowing problem efficiently, we propose a border following–based reversible watermarking algorithm for images. With the help of border following algorithm and pre-processing, available regions with at least one zero point are recognized to embed watermark so that auxiliary information is not needed any more. And the algorithm utilized also ensures the same border can be re-recognized from the watermarked image without error, thus the correctness is also guaranteed. The performance of the proposed algorithm is evaluated using classic image datasets in this area, and the results not only validate the effectiveness of the proposed algorithm but also indicate its advantages compared with the classic histogram shifting–based reversible watermarking algorithm as well as the state of the art.

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Section: Related Workmentioning

confidence: 99%

Border following–based reversible watermarking algorithm for images with resistance to histogram overflowing

Tang

Zhou

Liu

et al. 2020

International Journal of Distributed Sensor Networks

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“…The difference between them is that the reversible hiding scheme can reconstruct the original cover image after secret data is extracted. Many successful reversible data hiding schemes have been proposed [1][2][3][4][5][6][7], including the difference expansion [3,4], the prediction error expansion (PEE) [5,6], the histogram shifting [8,9], the neural network [10][11][12] and so on. For instance, the prediction error expansion is first proposed by Thodi et al [13], which embeds the secret information by expanding the prediction errors obtained from the difference of original and predicted value of the target pixel.…”

Section: Introductionmentioning

confidence: 99%

Adaptive data hiding scheme based on magic matrix of flexible dimension

Wu¹,

Horng²,

Chang³

2021

KSII TIIS

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Magic matrix-based data hiding schemes are applied to transmit secret information through open communication channels safely. With the development of various magic matrices, some higher dimensional magic matrices are proposed for improving the security level. However, with the limitation of computing resource and the requirement of real time processing, these higher dimensional magic matrix-based methods are not advantageous. Hence, a kind of data hiding scheme based on a single or a group of multi-dimensional flexible magic matrices is proposed in this paper, whose magic matrix can be expanded to higher dimensional ones with less computing resource. Furthermore, an adaptive mechanism is proposed to reduce the embedding distortion. Adapting to the secret data, the magic matrix with least distortion is chosen to embed the data and a marker bit is exploited to record the choice. Experimental results confirm that the proposed scheme hides data with high security and a better visual quality.

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“…The security of the carrier is ensured by cover image encryption, while the security of additional data is guaranteed by steganography, which results in the need for RDH in the encrypted domain. So far, RDH is classified into four types: lossless compression [14], histogram modification [15], difference expansion [16], and prediction error expansion [17]. In recent years, researchers have also done a lot of work on RDH in the encrypted domain.…”

Section: Introductionmentioning

confidence: 99%

Reversible data hiding in encrypted images for coding channel based on adaptive steganography

Chen

Wang

et al. 2020

IET image process

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In this study, a novel reversible data hiding (RDH) in encrypted domain scheme for coding channel based on slidingblock segmentation and adaptive steganography is proposed. The proposed scheme enriches the residual information with as little additional encryption information as possible to improve the testing error rate of a steganalyser by sliding-block segmentation with bit stream encryption. The specific encryption process effectively weakens the correlation between the adjacent pixels and minimises the size of key stream bits. The encryption key can be further embedded in the channel code stream before transmitted in the channel. Experimental analysis shows that the image encrypted by the proposed RDH scheme can achieve a peak-signal-to-noise ratio of >50 dB, as the payload is 0.5 bits per pixel (bpp). In terms of security performance, compared with the state-of-the-art methods, their method has a higher testing error rate when the steganalyser is utilised. Even if the payload is 0.5 bpp, the testing error rate is >0.25.

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Multiple moduli prediction error expansion reversible data hiding

Cited by 24 publications

References 15 publications

Border following–based reversible watermarking algorithm for images with resistance to histogram overflowing

Border following–based reversible watermarking algorithm for images with resistance to histogram overflowing

Adaptive data hiding scheme based on magic matrix of flexible dimension

Reversible data hiding in encrypted images for coding channel based on adaptive steganography

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