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Bit-Plane Based Reversible Data Hiding in Encrypted Images Using Multi-Level Blocking With Quad-Tree
IEEE transactions on multimediaReversible data hiding in encrypted images (RDHEI) has gained significant popularity among security and privacy researchers as well as users, because of its features such as reversibility, embedding capacity (EC), and security.
.. Ankur, Rajeev Kumar, Ajay K Sharma
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A High-Performance Robust Reversible Data Hiding Algorithm Based on Polar Harmonic Fourier Moments
IEEE transactions on circuits and systems for video technology (Print)Aiming at the problem of most Robust Reversible Data Hiding (RRDH) schemes failing to anti geometric deformation attacks, a new RRDH algorithm based on Polar Harmonic Fourier Moments (PHFMs) is presented in this paper, thereby enhancing both the ...
Bin Ma +5 more
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Reversible Data Hiding in Encrypted Images Using Cipher-Feedback Secret Sharing
IEEE transactions on circuits and systems for video technology (Print), 2022Reversible data hiding in encrypted images (RDH-EIs) has attracted increasing attention since it can protect the privacy of original images while exactly extracting the embedded data.
Zhongyun Hua +4 more
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Secure data transmission through reversible data hiding
2016 Online International Conference on Green Engineering and Technologies (IC-GET), 2016Data hacking is very difficult to deal with today's electronic world. There are large numbers of technique used, for the secure communication of data. Images are widely used in different-different processes. So data hiding is used in the encrypted image, but the main problem is that distortion at the time of data extraction.
Linnet Tomy, null Namitha T N
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IEEE transactions on multimedia
With the development of data security and privacy requirements in the field of cloud computing, Reversible Data Hiding in Encrypted Images (RDHEI) in encryption domain has received increasing attention.
Chi Ji, Guangyong Gao, Yunqing Shi
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With the development of data security and privacy requirements in the field of cloud computing, Reversible Data Hiding in Encrypted Images (RDHEI) in encryption domain has received increasing attention.
Chi Ji, Guangyong Gao, Yunqing Shi
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Reversible Data Hiding in Palette Images
IEEE transactions on circuits and systems for video technology (Print), 2023Reversible data hiding (RDH) has been investigated for over two decades. Depending on the application scenario, it can be divided into RDH and reversible data hiding in encrypted images (RDHEI).
Mingji Yu +3 more
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Survey on reversible data hiding techniques
2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS), 2016Data transmissions using computer networks has created the need for security. Many robust message encryption techniques have been developed to supply this demand. Steganography is one form of cryptography where we hide data within large texts or images.
null Rathika R, S. Kumaresan
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A Survey on Reversible Data Hiding for Uncompressed Images
ACM Computing SurveysReversible data hiding (RDH) has developed various theories and algorithms since the early 1990s. The existing works involve a large amount of specialized knowledge, making it difficult for researchers, especially primary learners, to have a good ...
Cheng Zhang +4 more
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Optimal PPVO-based reversible data hiding
Journal of Visual Communication and Image Representation, 2017Abstract The optimal PPVO-based reversible data hiding (RDH) including adaptive prediction pattern and optimal bin selection is proposed in this paper. By reasonably designing the prediction pattern, each to-be-embedded pixel can be predicted by the n ( n ∈ { 4 , … , 13 } ) neighbors surrounding it.
Shaowei Weng +3 more
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Reversible Data Hiding Using GAN Based Image-Image Transformation
2024 5th International Conference on Circuits, Control, Communication and Computing (I4C)Traditional Reversible Data Hiding (RDH) techniques modify the cover image, unavoidably leaving traces which can be easily analyzed and exploited by an adversary. Drawing inspiration from modifying cover steganography with Generative Adversarial Networks
G. R
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