Dynamic improved pixel value ordering reversible data hiding

Weng, Shaowei; Shi, Yun-Qing; Hong, Wien; Yao, Ye

doi:10.1016/j.ins.2019.03.032

Cited by 116 publications

(44 citation statements)

References 35 publications

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“…In the other schemes, like difference-expansion (DE) proposed by [9,[11][12][13] the tradeoff between capacity and image quality is possible and relatively high PSNR can be achieved. However, as shown in the figure, the proposed scheme offers higher embedding capacity with lower distortion than the other schemes [18][19][20]. This is due to the joint use of lifting and companding technique.…”

Section: Performance Evaluationmentioning

confidence: 97%

“…NCC values against non-fading based collusion attack. The collusion performance of the proposed method is also compared with previously reported works [18][19][20]38,39] to demonstrate the performance comparison. In the time of comparison of our system with the previously proposed ones, we have used reference implementations provided by the authors.…”

Section: Performance Evaluationmentioning

confidence: 97%

“…The method has better embedding performance than other IPVO based reversible watermarking technique but the time and space complexity of the system are high. Recently, another improved pixel value ordering (IPVO) technique is proposed by Weng et al [20]. The system uses dynamic IPVO technique which offers better embedding performance with good visual quality.…”

Section: Introductionmentioning

confidence: 99%

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Reversible Data Hiding for DICOM Image Using Lifting and Companding

Phadikar

Jana²,

Mandal

2019

Cryptography

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In this work, a reversible watermarking technique is proposed for DICOM (Digital Imaging and Communications in Medicine) image that offers high embedding capacity (payload), security and fidelity of the watermarked image. The goal is achieved by embedding watermark based on companding in lifting based discrete wavelet transform (DWT) domain. In the embedding process, the companding technique is used to increase the data hiding capacity. On the other hand, a simple linear function is used in companding to make the scheme easy to implement, and content dependant watermark is used to make the scheme robust to collusion operation. Moreover, unlike previously proposed reversible watermarking techniques, this novel approach does not embed the location map in the host image that ultimately helps to achieve high fidelity of the watermarked image. The advantage of the proposed scheme is demonstrated by simulation results and also compared with selected other related schemes.

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Section: Performance Evaluationmentioning

confidence: 97%

Section: Performance Evaluationmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

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Reversible Data Hiding for DICOM Image Using Lifting and Companding

Phadikar

Jana²,

Mandal

2019

Cryptography

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“…The secret bits in the experiments are generated with a pseudo random number generator. To demonstrate the superiority of the proposed algorithm, five state-of-the-art RDH methods [17], [28]- [33] are selected for the comparison.…”

Section: Experiments and Analysismentioning

confidence: 99%

“…Wang et al [30] use fuzzy C-means (FCM) clustering method to classify the cover carriers into different clusters for building the multiple histograms. Recently, other HS-based RDH algorithms are developed [31]- [33].…”

Section: Introductionmentioning

confidence: 99%

New High Capacity Reversible Data Hiding Using the Second-Order Difference Shifting

Wang

2020

IEEE Access

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Reversible data hiding (RDH) algorithm is developing rapidly for many years. Usually, the histogram shifting (HS) based RDH algorithm has two main steps: Firstly, a steep difference histogram is generated with some effective methods for difference. Secondly, by extending and shifting some differences in the histogram, bits of information can be embedded into the cover image which can be restored reversibly. In this paper, we proposed the second-order difference to obtain a steeper difference histogram. Firstly, we slide a window with size 2 × 2 through the image. For each block, we can get the two first-order differences by calculating the absolute values of the two differences for its two columns. Thus, the secondorder difference of each block, which is the absolute values of the difference of the two first-order differences, can be obtained. By extending and shifting the second-order difference, a bit may be embedded into the block finally. Experiments reveal that the proposed algorithm outperforms the previous state-of-the-art RDH methods in terms of the computational complexity, image distortion and the embedding performance. INDEX TERMS Difference expanding, cover image, histogram shifting, reversible data hiding, the secondorder difference, watermarking.

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Prediction-Error Value Ordering for High-Fidelity Reversible Data Hiding

Zhang

2019

MultiMedia Modeling

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Dynamic improved pixel value ordering reversible data hiding

Cited by 116 publications

References 35 publications

Reversible Data Hiding for DICOM Image Using Lifting and Companding

Reversible Data Hiding for DICOM Image Using Lifting and Companding

New High Capacity Reversible Data Hiding Using the Second-Order Difference Shifting

Prediction-Error Value Ordering for High-Fidelity Reversible Data Hiding

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