Journal ArticleDOI
Reversible Data Hiding in Encrypted Images by Reserving Room Before Encryption
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TLDR
This paper proposes a novel method by reserving room before encryption with a traditional RDH algorithm, and thus it is easy for the data hider to reversibly embed data in the encrypted image.Abstract:
Recently, more and more attention is paid to reversible data hiding (RDH) in encrypted images, since it maintains the excellent property that the original cover can be losslessly recovered after embedded data is extracted while protecting the image content's confidentiality. All previous methods embed data by reversibly vacating room from the encrypted images, which may be subject to some errors on data extraction and/or image restoration. In this paper, we propose a novel method by reserving room before encryption with a traditional RDH algorithm, and thus it is easy for the data hider to reversibly embed data in the encrypted image. The proposed method can achieve real reversibility, that is, data extraction and image recovery are free of any error. Experiments show that this novel method can embed more than 10 times as large payloads for the same image quality as the previous methods, such as for PSNR=40 dB.read more
Citations
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Journal ArticleDOI
Separable Reversible Data Hiding in Encrypted Signals with Public Key Cryptography
Wei-Liang Tai,Ya-Fen Chang +1 more
TL;DR: Compared with other schemes using a cipher stream to encrypt the image, the proposed scheme is more appropriate for cloud services without degrading the security level.
Journal ArticleDOI
A GLCM-Feature-Based Approach for Reversible Image Transformation
TL;DR: A Gray level co-occurrence matrix (GLCM) based approach for reversible image transformation, in which, an effective feature extraction algorithm is utilized to increase the accuracy of blocks matching for improving the visual quality of transformed image, while the auxiliary information is not increased.
Posted Content
A Reversible Data hiding Scheme in Encrypted Domain for Secret Image Sharing based on Chinese Remainder Theorem
TL;DR: A RDH-ED scheme for secret image sharing based on Chinese remainder theorem (CRT) is presented and experimental results demonstrate that the proposed scheme could not only maintain the security and the threshold function of secret sharing system, but also obtain a better reversibility and efficiency compared with most existing RDh-ED algorithms.
Journal ArticleDOI
Reversible image reconstruction for reversible data hiding in encrypted images
Zi-Long Liu,Chi-Man Pun +1 more
TL;DR: Experimental results show that the performance of the proposed RIR based RDHEI schemes outperform the previous similar algorithms.
Journal ArticleDOI
Reversible data hiding: A contemporary survey of state-of-the-art, opportunities and challenges
TL;DR: A comprehensive review of the state-of-the-art reversible data hiding methods can be found in this article, where the authors classified reversible data-hiding methods mainly into plain domain and encrypted domain and examined their pro and cons.
References
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Book
Handbook of Applied Cryptography
TL;DR: A valuable reference for the novice as well as for the expert who needs a wider scope of coverage within the area of cryptography, this book provides easy and rapid access of information and includes more than 200 algorithms and protocols.
Journal ArticleDOI
Reversible data embedding using a difference expansion
TL;DR: The redundancy in digital images is explored to achieve very high embedding capacity, and keep the distortion low, in a novel reversible data-embedding method for digital images.
Journal ArticleDOI
Reversible data hiding
TL;DR: It is proved analytically and shown experimentally that the peak signal-to-noise ratio of the marked image generated by this method versus the original image is guaranteed to be above 48 dB, which is much higher than that of all reversible data hiding techniques reported in the literature.
Journal ArticleDOI
Expansion Embedding Techniques for Reversible Watermarking
D.M. Thodi,Jeffrey J. Rodriguez +1 more
TL;DR: The experimental results for many standard test images show that prediction-error expansion doubles the maximum embedding capacity when compared to difference expansion, and there is a significant improvement in the quality of the watermarked image, especially at moderate embedding capacities.
Proceedings ArticleDOI
Reversible data hiding
TL;DR: A prediction-based conditional entropy coder which utilizes static portions of the host as side-information improves the compression efficiency, and thus the lossless data embedding capacity.