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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.

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Citations
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Journal ArticleDOI

A Review Paper on Data Hiding in Encrypted Image by Reversible Image Transformation

TL;DR: A method of Reversible Data Hiding in Encrypted Image based on Reversible Image Transformation, which secure the original image, the transmutation can be done between the micro blocks with small size, which enhance the quality of the encrypted image.
Proceedings ArticleDOI

Secure Secret Sharing in the Cloud

TL;DR: This scheme permits a batch of two secret messages to be shared to two players in such a way that the secrets are reconstructable if and only if two of them collaborate.
Proceedings ArticleDOI

Interpolative AMBTC based Reversible Data Hiding In Encrypted Images using Rhombus Mean

TL;DR: In this paper , an interpolative absolute moment block truncation coding (IAMBTC) based reversible data hiding method in encrypted images (RDHEI) using rhombus mean is proposed.
Book ChapterDOI

Reversible Data Hiding in Encrypted Image Based on Block Classification Scrambling

TL;DR: Experimental results demonstrate that the probability for lossless recovery of proposed method is 100% even if for texture image Baboon at a high embedding rate of 0.15 bpp.
Proceedings ArticleDOI

A High-Capacity Reversible Data Hiding Method in Encrypted Images Based on Block Shifting

TL;DR: A novel reversible data hiding scheme for encrypted image with large embedding capacity is proposed, and it is a client-free RDH-EI scheme in which the RDH algorithm used by the cloud is irrelevant with both the sender and receiver.
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

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.
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