High-capacity reversible data hiding in encrypted image based on specific encryption process

Huang, Delu; Wang, Jianjun

doi:10.1016/j.image.2019.115632

Cited by 44 publications

(18 citation statements)

References 30 publications

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“…, α 2 L . The location of the bit on the upper left of the leaf node's corresponding bit-block is first determined by Equations (13) and 14, denoted as (I, J). Then the length of the bit-block is calculated by Equation (15).…”

Section: (A) Hierarchical Quad-tree Code Recoverymentioning

confidence: 99%

“…The RDH methods are suitable for some stringent fields such as medical, military, and legal systems. Therefore, researchers consider combining cryptography with RDH to propose RDHEI methods [11][12][13], which can significantly improve the security of data in the third-party platforms. The RDHEI method is designed for the case that the digital image is encrypted before embedding secret data.…”

Section: Introductionmentioning

confidence: 99%

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High-Capacity Reversible Data Hiding in Encrypted Images Based on Hierarchical Quad-Tree Coding and Multi-MSB Prediction

et al. 2021

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Nowadays, more and more researchers are interested in reversible data hiding in encrypted images (RDHEI), which can be applied in privacy protection and cloud storage. In this paper, a new RDHEI method on the basis of hierarchical quad-tree coding and multi-MSB (most significant bit) prediction is proposed. The content owner performs pixel prediction to obtain a prediction error image and explores the maximum embedding capacity of the prediction error image by hierarchical quad-tree coding before image encryption. According to the marked bits of vacated room capacity, the data hider can embed additional data into the room-vacated image without knowing the content of original image. Through the data hiding key and the encryption key, the legal receiver is able to conduct data extraction and image recovery separately. Experimental results show that the average embedding rates of the proposed method can separately reach 3.504 bpp (bits per pixel), 3.394 bpp, and 2.746 bpp on three well-known databases, BOSSBase, BOWS-2, and UCID, which are higher than some state-of-the-art methods.

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Section: (A) Hierarchical Quad-tree Code Recoverymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

High-Capacity Reversible Data Hiding in Encrypted Images Based on Hierarchical Quad-Tree Coding and Multi-MSB Prediction

et al. 2021

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“…Next, we compare our scheme with other relevant methods [7,11,15,24,25,26 ] in embedding capacity. Chen et al [11] also reserved the embedding room using a reversible integer transformation, and it is also a SOK-type scheme.…”

Section: Comparison Experiments and Analysismentioning

confidence: 99%

“…Scheme [24] divided the encrypted image into blocks and embedded the secret data in each block using the histogram shifting method. Huang [26] combined the MED prediction and specific encryption algorithm to reserve the embedding room for data embedding in the encryption processing and obtained a higher embedding capacity than the above schemes. The detailed comparison results are shown in the Table 4.…”

Section: Comparison Experiments and Analysismentioning

confidence: 99%

“…The second method vacates the room based on the property of encryption algorithms. Huang et al [26] combined the MED prediction and specific encryption algorithm to reserve the embedding room for data hiding in the encryption process. Schemes [27] [28] used the homomorphism of the encryption algorithms to embed the secret data by modifying the cipher pixel values without affecting the decryption.…”

Section: Introductionmentioning

confidence: 99%

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Reversible Data Hiding in Encrypted Images Based on Reversible Integer Transformation and Quadtree-Based Partition

Chen

Chang

2020

IEEE Access

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This paper presents an improved secure reversible data hiding scheme in encrypted images based on integer transformation, which does not need using a data hider key to protect the embedded secret data. We first segment the original image into blocks of various sizes based on the quadtree-based image partition. For each block, we reserve m least significant bits (LSBs) of each pixel as embedding room based on the reversible integer transformation. In order to improve the security of the image encryption, we pad the mLSBs of each pixel using the corresponding (8-m) most significant bits (MSBs) information after the transformation, which protects the security of the encryption key. Then, we encrypt the transformed image with a standard stream cipher. After the image encryption, the data hider embeds the secret data in the mLSBs of the encrypted images through an exclusive or operation. On the receiving side, the receiver can extract the secret data after the image decryption and recover the original image without loss of quality. The security analysis shows that the proposed scheme improves the security weakness of the scheme directly using adaptive integer transformation. The experimental results show that the proposed method achieves a higher embedding ratio compared with several relevant methods. INDEX TERMS Data hiding, encrypted images, integer transformation, quadtree. SISHENG CHEN Shan Dong University, in 2005, and the M.S. degree in applied mathematics from Fujian Normal University, in 2008. He is currently pursuing the Ph.D. degree in information engineering and computer science, Feng Chia University, Taiwan. He is also a Lecturer with the Fuqing Branch of Fujian Normal University interests include multimedia security and CHIN-CHEN CHANG applied mathematics and the M.Sc. degree in computer and decision sciences from National Tsing Hua University, and the Ph.D. degree in computer engineering from National Chiao Tung University. He was with National Chung Cheng 1989 to 2005. He has been the Chair Professor with the

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Discrete Wavelet Transform-Based Reversible Data Hiding in Encrypted Images

Ahmed

Agarwal

Kumar

2022

Advances in Intelligent Systems and Computing

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High-capacity reversible data hiding in encrypted image based on specific encryption process

Cited by 44 publications

References 30 publications

High-Capacity Reversible Data Hiding in Encrypted Images Based on Hierarchical Quad-Tree Coding and Multi-MSB Prediction

High-Capacity Reversible Data Hiding in Encrypted Images Based on Hierarchical Quad-Tree Coding and Multi-MSB Prediction

Reversible Data Hiding in Encrypted Images Based on Reversible Integer Transformation and Quadtree-Based Partition

Discrete Wavelet Transform-Based Reversible Data Hiding in Encrypted Images

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