Reversible data hiding in encrypted images using median prediction and bit plane cycling-XOR

Li, Fengyong; Zhu, Hengjie; Qin, Chuan

doi:10.1007/s11042-022-13406-w

Cited by 7 publications

(6 citation statements)

References 28 publications

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“…As can be seen from Fig. 21, it is obvious that the ER of different images of our scheme is higher than other literatures 13 , 16 , 22 , 34 , 35 , 43 , 45 – 50 The right part of the figures indicates the distribution of ER of all images of different schemes.…”

Section: Experimental Results and Analysismentioning

confidence: 74%

“…It is of great value in the fields of medicine and military, which require high reversibility. To judge the EC of this scheme, the ER is used as an indicator to compare with some of the most advanced methods, 16,[44][45][46][47] as shown in Table 9. To ensure the fairness of the comparison, some parameters are set in advance so that each method can achieve the best performance.…”

Section: Comparison With Other Schemesmentioning

confidence: 99%

“…21, it is obvious that the ER of different images of our scheme is higher than other literatures. 13,16,22,34,35,43,[45][46][47][48][49][50] The right part of the figures indicates the distribution of ER of all images of different schemes. It can be clearly seen that the ER distribution of our scheme is higher than other literatures.…”

Section: Comparison With Other Schemesmentioning

confidence: 99%

“…During the data embedding phase, we significantly reduce the embedding runtime by recording and transmitting the index of each secret information embedding. 13 Xiang et al 16 Wang et al 22 Malik et al 44 Li et al 45 Wang et al 46 Liu et al 47…”

Section: Comparison With Other Schemesmentioning

confidence: 99%

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Separable high-capacity reversible data hiding in encrypted images based on multiple predictive compression coding

Shi,

Yan,

Zhou

et al. 2023

J. Electron. Imag.

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Reversible data hiding in encrypted images (RDHEI) is a well-established technique in which additional information is embedded to ensure data imperceptibility and full reversibility. For RDHEI, how to utilize more redundant space to improve the embedding capacity (EC) under the premise of true reversibility is still a challenging task. We propose a separable RDHEI scheme based on multiple predictive compression coding. The image is classified by texture complexity based on gray level co-occurrence matrix. For different blocks, adaptive weight prediction (AWP) and global optimization adaptive weight prediction (GOAWP) are proposed to improve prediction accuracy. More importantly, GOAWP solves the problem of inaccurate prediction of texture block. Furthermore, methods based on pixel difference compression, pixel bit-based difference compression, and block plane-based difference compression are proposed to vacate more embedding space. The proposed scheme is separable. For the content owner, above two predictors and three compression methods are adopted to vacate space for hiding. For the data hider, the secret bits are embedded into the encrypted image by directly replacing the spare bits without obtaining any information of the original image. For the receiver, the desired information can be retrieved according to the key in his/her possession. By taking full advantage of the pixel correlation and multiple predictive compression coding, the proposed method successfully achieves a significant improvement in capacity. Experimental results show that the highest payload of our scheme reaches 3.6185 bpp, which exhibits appreciated EC in comparison with state-of-the-art methods. Security and compression performance is emphasized, where the key space of our scheme is as high as 2 × 10 15 × ∞ × 10 15 , the average information entropy of the embedded compressed image is 7.8891, and the correlation coefficients between original images and the compressed and embedded compressed images are close to 0, indicating a weak correlation, thereby greatly improving security.

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Section: Experimental Results and Analysismentioning

confidence: 74%

Section: Comparison With Other Schemesmentioning

confidence: 99%

Section: Comparison With Other Schemesmentioning

confidence: 99%

Section: Comparison With Other Schemesmentioning

confidence: 99%

See 2 more Smart Citations

Separable high-capacity reversible data hiding in encrypted images based on multiple predictive compression coding

Shi,

Yan,

Zhou

et al. 2023

J. Electron. Imag.

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show abstract

“…To develop a more accurate labeling and prediction strategy for the PEs, Wu et al 18 used the adaptive prediction-error labeling technique. The median edge detector predictor 31 is employed for finding the predicted values of cover image pixels. Similarly, Rai et al 19 have proposed a PE-based scheme using stream cipher for encryption.…”

Section: Introductionmentioning

confidence: 99%

Secure most significant bit plane compression based reversible data hiding in encrypted image technique using Huffman Ciphersystem

Singh,

Patel,

Vaish

2024

J. Electron. Imag.

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In this work, a secure encryption technique for implementing reversible data hiding, named the Huffman Ciphersystem, is developed. First, a cover image is decomposed into two sub-images. The first sub-image consists of four most significant bits (MSBs), and the second sub-image consists of four least significant bits. The difference of adjacent MSB values for the first sub-image is calculated using inverse S scan order because it gives a confined and small range of difference values. It helps to attain an efficient lossless compression, enhancing our proposed work's embedding capacity (EC). On the other hand, security is imparted by our proposed Huffman Ciphersystem by same level node exchange strategy followed by encryption of the dictionary via scrambling. The proposed scheme achieves a peak signal-to-noise ratio value of infinite for all the tested standard grayscale images at the recovery time. Experimental results demonstrate the proposed work's superiority in EC and security of the encrypted images.

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Texture driven adaptive multi-level block selection based reversible data hiding in encrypted image

Cao,

Chen,

2023

Multimed Tools Appl

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Reversible data hiding in encrypted images using median prediction and bit plane cycling-XOR

Cited by 7 publications

References 28 publications

Separable high-capacity reversible data hiding in encrypted images based on multiple predictive compression coding

Separable high-capacity reversible data hiding in encrypted images based on multiple predictive compression coding

Secure most significant bit plane compression based reversible data hiding in encrypted image technique using Huffman Ciphersystem

Texture driven adaptive multi-level block selection based reversible data hiding in encrypted image

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