Journal ArticleDOI
General Framework to Histogram-Shifting-Based Reversible Data Hiding
TLDR
This paper revisits the HS technique and presents a general framework to construct HS-based RDH, and shows that several RDH algorithms reported in the literature are special cases of this general construction.Abstract:
Histogram shifting (HS) is a useful technique of reversible data hiding (RDH). With HS-based RDH, high capacity and low distortion can be achieved efficiently. In this paper, we revisit the HS technique and present a general framework to construct HS-based RDH. By the proposed framework, one can get a RDH algorithm by simply designing the so-called shifting and embedding functions. Moreover, by taking specific shifting and embedding functions, we show that several RDH algorithms reported in the literature are special cases of this general construction. In addition, two novel and efficient RDH algorithms are also introduced to further demonstrate the universality and applicability of our framework. It is expected that more efficient RDH algorithms can be devised according to the proposed framework by carefully designing the shifting and embedding functions.read more
Citations
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Journal ArticleDOI
Reversible Data Hiding: Advances in the Past Two Decades
TL;DR: In this paper, the various RDH algorithms and researches have been classified into the following six categories: 1) RDH into image spatial domain; 2) RD h into image compressed domain (e.g., JPEG); 3) RDh suitable for image semi-fragile authentication; 4)RDH with image contrast enhancement; 5) RD H into encrypted images, which is expected to have wide application in the cloud computation; and 6) RDD into video and into audio.
Journal ArticleDOI
Local-Prediction-Based Difference Expansion Reversible Watermarking
Ioan-Catalin Dragoi,Dinu Coltuc +1 more
TL;DR: For the particular cases of least square predictors with the same context as the median edge detector, gradient-adjusted predictor or the simple rhombus neighborhood, the local prediction-based reversible watermarking clearly outperforms the state-of-the-art schemes based on the classical counterparts.
Journal ArticleDOI
A recent survey of reversible watermarking techniques
TL;DR: A major focus of this survey is on prediction-error expansion based reversible watermarking techniques, whereby the secret information is hidden in the prediction domain through error expansion.
Journal ArticleDOI
Improved PVO-based reversible data hiding
Fei Peng,Xiaolong Li,Bin Yang +2 more
TL;DR: This work extends a recently proposed reversible data hiding (RDH) scheme of Li et al. which is based on pixel-value-ordering and prediction-error expansion by defining a new difference considering the pixel locations of the maximum and second largest value of a block.
Journal ArticleDOI
New Framework for Reversible Data Hiding in Encrypted Domain
TL;DR: A new simple yet effective framework for RDH in encrypted domain that the server manager does not need to design a new RDH scheme according to the encryption algorithm that has been conducted by the content owner and most of those previously proposed RDH schemes can be applied to the encrypted image directly.
References
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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
The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS
TL;DR: LOCO-I as discussed by the authors is a low complexity projection of the universal context modeling paradigm, matching its modeling unit to a simple coding unit, which is based on a simple fixed context model, which approaches the capability of more complex universal techniques for capturing high-order dependencies.
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.
Journal ArticleDOI
Reversible watermark using the difference expansion of a generalized integer transform
TL;DR: Results indicate that the spatial, quad-based algorithm developed for color images allows for hiding the largest payload at the highest signal-to-noise ratio.