High Embedding Reversible Data Hiding Scheme for JPEG

Kuo, Way; Kuo, Shao-Hung; Wuu, Lih‐Chyau

doi:10.1109/iihmsp.2010.26

Cited by 8 publications

(6 citation statements)

References 5 publications

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“…In [119], Chen et al presented a quantized DCT coefficients based RDH, in which a triplet consisting of one non-zero coefficient and two zerovalued coefficients is used to accommodate one additional bit. Moreover, Kuo et al [120] proposed a RDH scheme based on exploiting modification direction (EMD) and JPEG compression technology, Ohyama et al [121] presented a RDH method for JPEG2000 compressed image.…”

Section: Discussion and Summarymentioning

confidence: 99%

Reversible data hiding: Advances in the past two decades

et al. 2016

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In the past two decades, reversible data hiding (RDH), also referred to as lossless or invertible data hiding, has gradually become a very active research area in the field of data hiding. This has been verified by more and more papers on increasingly wide-spread subjects in the field of RDH research that have been published these days. In this survey paper the various RDH algorithms and researches have been classified into the following six categories: 1) RDH into image spatial domain, 2) RDH into image compressed domain (e.g., JPEG), 3) RDH suitable for image semi-fragile authentication, 4) RDH with image contrast enhancement, 5) RDH into encrypted images, which is expected to have wide application in the cloud computation, and 6) RDH into video and into audio. For each of these six categories, the history of technical developments, the current state of the arts, and the possible future researches are presented and discussed. It is expected that the RDH technology and its applications in the real word will continue to move ahead.

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Section: Discussion and Summarymentioning

confidence: 99%

Reversible data hiding: Advances in the past two decades

et al. 2016

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“…Further modifications are presented in Ref. Xuan et al 35 and Kuo et al 36 apply error control and histogram shifting to embed data keeping good stego-image quality. The median edge detector predictor is used by Thodi et al 24 by Hong et al 25 and by Yang et al 26 while the gradient adjusted prediction is exploited by Fallahpour et al 27 Kuribayashi et al 28 apply difference expansion and prediction, while Tsai et al 29 and Pan et al 30 apply predictive coding and histogram shifting in the specific domain of medical imaging.…”

Section: Introductionmentioning

confidence: 99%

Difference expansion and prediction for high bit-rate reversible data hiding

Boato

Carli

Battisti

et al. 2012

J. Electron. Imaging

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Reversible data hiding deals with the insertion of auxiliary information into a host data without causing any permanent degradation to the original signal. In this contribution a high capacity reversible data hiding scheme, based on the classical difference expansion insertion algorithm, is presented. The method exploits a prediction stage, followed by prediction errors modification, both in the spatial domain and in the S-transform domain. Such two step embedding allows us to achieve high embedding capacity while preserving a high image quality, as demonstrated in the experimental results.

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“…Steganography is the art and science of concealing information in unremarkable cover media so as not to arouse an eavesdropper's suspicion. It is an application under information security field [2,3,4]. Digital steganography exploits the use of a host data to hide a piece of information in such a way that it is imperceptible to a human observer.…”

Section: Introductionmentioning

confidence: 99%

“…The aim of this paper is to propose a modified high-capacity image steganography technique that depends on wavelet transform with acceptable levels of imperceptibility and distortion in the cover image and high level of overall security. Inevitably, hiding some data will change the cover image even though the distortion caused by hiding is imperceptible to the human visual system [2]. However, for some sensitive images, such as military images, medical images or artwork preservation, even the slightest alteration in pixel values is intolerable.…”

Section: Introductionmentioning

confidence: 99%

A Robust Steganography Model Using Wavelet-Based Block-Partition Modification

Youssef

Elfarag

Raouf³

2011

IJCSIT

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An efficient steganographic method is proposed for embedding secret messages into gray scale and RGB colored images. In this paper, a wavelet domain steganography is adopted for hiding a large amount of data with high security, good invisibility and no loss of secret message. The information is embedded in those areas of the host image that contains high texture to reduce visibility of the embedded information in the host image. The qualified significant wavelet coefficients and their texture and sensitivity to gray value variations across different coarse scales (level 1, level 2 and level 3 wavelet decompositions) are utilized to determine the positions and the magnitudes to adaptively embed the secrete message. We consider the highly textured areas near the edges in high frequency subbands in the wavelet domain. The transformed cover image is divided into number of joint non-overlapping 4 × 4 blocks in each layer (R, G, and B layers). A difference value is calculated from the values of the adjacent pixels in each block, producing the partitioned difference image (PDI). The wavelet subbands are selected to calculate the changes. The selection of the range intervals is based on the characteristics of human vision's sensitivity to gray value variations from smoothness to contrast. The number of bits which can be embedded in each block varies and is decided by the width of the range to which the difference value of the two pixels and block histogram peak (Pk) belongs to. The embedded secret message can be extracted from the resulting stego-image and the original cover image is reversed. The proposed model will produce a high-capacity image steganography technique with acceptable level of imperceptibility and distortion in the cover image and high level of overall security. This solution is independent of the nature of the data to be hidden and produces a stego image with minimum degradation. Experimental results show the feasibility of the proposed methods. Various statistics attacks were also conducted to collect related data to show the security of the method. The experimental results show that the algorithm has a high embedding capacity and a good invisibility. Moreover PSNR of cover image with stego-image shows better results compared with other existing steganography approaches.

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High Embedding Reversible Data Hiding Scheme for JPEG

Cited by 8 publications

References 5 publications

Reversible data hiding: Advances in the past two decades

Reversible data hiding: Advances in the past two decades

Difference expansion and prediction for high bit-rate reversible data hiding

A Robust Steganography Model Using Wavelet-Based Block-Partition Modification

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