High-capacity reversible data hiding in encrypted images based on adaptive arithmetic coding and static Huffman coding

Liu, Mengqi; Wang, Kunshu; Gao, Tiegang

doi:10.1007/s10586-022-03748-3

Cited by 8 publications

(6 citation statements)

References 23 publications

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“…Even for the Baboon image, which is sensitive to embedding, the proposed scheme can achieve an ER of 1.1517 bpp, while the ERs of the other methods are below 1 bpp. From the average value, the ER of our scheme is as high as 2.5208 bpp, which is 0.5623/1.8011 bpp higher than the best 1.9585 [47]/worst 0.7197 bpp 44 of all these schemes, which shows that our scheme has a significant advantage in EC. Our scheme is able to create more embedding space for the image, and to a certain extent, it solves the problem that some information cannot be embedded due to the large number of embedded information.…”

Section: Comparison With Other Schemesmentioning

confidence: 75%

“…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: Comparison With Other Schemesmentioning

confidence: 75%

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

“…The use of RRBE and VRAE frameworks is prevalent in many literature studies 6 , 11 – 13 , 16 – 29 RRBE makes use of spatial correlation existing between pixels of the cover image and reserve room. The room reserved for secret data hiding is adopted by self-embedding strategy 11 .…”

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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A Systematic Review of RDHEI with Consistent Experimental Evaluation

Ankur,

Kumar,

Sharma

2024

Lecture Notes in Electrical Engineering

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High-capacity reversible data hiding in encrypted images based on adaptive arithmetic coding and static Huffman coding

Cited by 8 publications

References 23 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

A Systematic Review of RDHEI with Consistent Experimental Evaluation

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