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Reversible data hiding in Paillier cryptosystem
Journal of Visual Communication and Image Representation, 2016Reversible image data hiding in the Paillier cryptosystem has been introduced.Two new reversible data hiding algorithms are proposed for the encrypted images.The potential applications of the proposed algorithms have been discussed.High-capacity reversible data hiding can be achieved in the Paillier cryptosystem.
Hao-Tian Wu, Jiwu Huang
exaly +3 more sources
Prediction-based reversible data hiding
Information Sciences, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hsien-Wen Tseng
exaly +4 more sources
Separable Reversible Data Hiding in Encrypted Image
IEEE Transactions on Information Forensics and Security, 2012This work proposes a novel scheme for separable reversible data hiding in encrypted images. In the first phase, a content owner encrypts the original uncompressed image using an encryption key. Then, a data-hider may compress the least significant bits of the encrypted image using a data-hiding key to create a sparse space to accommodate some ...
Xinpeng Zhang
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Reversible data hiding in adjacent zeros
Multimedia Systems, 2021Data hiding techniques are used to embed information into digital objects for the purpose of copyright protection, covert communication, media notation, among other applications. Compared with traditional data hiding techniques, reversible data hiding (RDH) can restore the original digital object after extracting the hidden data.
Heba Abdel-Nabi, Ali Al-Haj 0001
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High-Performance Reversible Data Hiding
Fundamenta Informaticae, 2008This paper proposes a high-performance reversible data hiding algorithm based on the block difference histogram of a cover image. If a message is to be embedded into an image, the difference of the block at the maximum point is increased by 1 or left unchanged if the message bit is "1" or "0", respectively.
Ching-Chiuan Lin +2 more
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Steganalysis for Reversible Data Hiding
2009In recent years, several lossless data hiding techniques have been proposed for images. Lossless data embedding can take place in the spatial domain or in the transform domain. They utilized characteristics of the difference image or the transform coefficient histogram and modify these values slightly to embed the data. However, after embedding message
Ho Thi Huong Thom +2 more
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A Reversible Data Hiding Scheme for HEVC
2017 10th International Symposium on Computational Intelligence and Design (ISCID), 2017Many reversible data hiding schemes using quantized DCT coefficient have been proposed recently. But the big problem was most of schemes could not meet the requirement of visual quality and robustness at the same time. This paper presents a reversible data hiding scheme for HEVC (High Efficiency Video Coding).
Feng Gui, Han Xue
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Reversible Data Hiding for Video
2018Difference expansion (DE) and histogram modification (HM) are efficient ways for reversible data hiding (RDH) into digital video. In most occasions, the reversibility of an algorithm cannot be confirmed until the data extracting experiments have been carried out, it means the design of a reversible data hiding algorithm lacks theoretical guidance.
Dong Li +3 more
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Reversibility improved lossless data hiding
Signal Processing, 2009Recently, lossless data hiding has attracted increasing interests. As a reversible watermark scheme, the host media and hidden data should be recovered without distortion. A latest lossless data hiding technique based on image blocking and block classification has achieved good performance for image authentication.
Xinbo Gao 0001 +3 more
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Reversible Data Hiding Scheme for Video
International Journal of Information Security and Privacy, 2019With the exponential progression in communication technology, advanced mixed media content such as image, sound and video can be effectively duplicated and put away effortlessly without any loss in their original content. Therefore, it is distinctly critical to beat this and the need of a reasonable sort of copyright insurance framework inside the data.
T. Bhaskar, Madhu Oruganti
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