Reversible data hiding using Delaunay triangulation and selective embedment

Hong, Wien; Chen, Tung-Shou; Chen, Jeanne

doi:10.1016/j.ins.2014.03.030

Cited by 89 publications

(48 citation statements)

References 21 publications

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“…The widely used chaotic map is logistic maps. Logistic map developed by Robert MAY in 1976 was constructed on changes based on feedback of biological population [10,30]. Logistic map is defined in Equation (1).…”

Section: Chaotic Mapsmentioning

confidence: 99%

“…If small changes in cover object can't detected by human perception system, the application is considered as successful. Criteria such as bit error rate (BER) [9], peak signal-to-noise ratio (PSNR) [10,11], structural similarity (SSIM) [12] are used to utilized success of data hiding application. A lot of data hiding methods are evaluated with this criteria [13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A New Approach for Data Hiding based on Pixel Pairs and Chaotic Map

Doğan¹

2018

IJCNIS

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Abstract-In this paper, a new data hiding algorithm based on pixel pairs using chaotic map is proposed. Data hiding scheme is created by applying modulo function to pixel pairs. In here, pseudo random number generator (PRNG) is obtained from chaotic maps. The PRNG is very important for this algorithm since the data hiding coefficients are chosen by PRNG. For example, if the coefficient is 0, subtraction operator is used between pixel pairs. If coefficient is 1, summary operator is used for selected pixel pairs. The proposed algorithm is evaluated by embedding different sized secret data into different test images. This method is compared with the determined studies in the literature and the obtained results is evaluated. In this study, special rules are also defined to pixels which have boundary values for resolve overflow/underflow problem.Minimal changes are performed to reach the desired value of the pixel values. According to the results obtained, the proposed algorithm has high visual quality, good running time, secure and high payload capacity.

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Section: Chaotic Mapsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A New Approach for Data Hiding based on Pixel Pairs and Chaotic Map

Doğan¹

2018

IJCNIS

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“…Moreover, the implemented system has preserved the best quality of the stego-image (i.e., PSNR is greater than 46 dB), that performs several conventional methods. Hong et al [33] implemented a method that utilizes a group of key-selected referential pixels to build a 3D Delaunay mesh to attain the forecasting errors. The results obtained from experiment has shown that the implemented method offers improved payload and image quality than the conventional PHS-dependent methods.…”

Section: A State-of-the-art Of Contributionsmentioning

confidence: 99%

Route Map of Privacy Preservation to IOT

Kathavate¹,

Amudhavel²

2018

IJET

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Data anonymization is the main feature of privacy preservation, and it assists in eradicating the privacy hazard in data preparation in various applications including IoT. Pseudonymity and Anonymization are two significant security factors that were adopted when sensitive data are shared. In medical field, data is usually distributed horizontally with diverse regions carrying a similar set of characteristics for various anonymization techniques.

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“…Besides the aforementioned methods, a new category of RDH schemes has been proposed by Li et al [21,23,30,31,13,37]. Their advantage lies in providing good image quality at low ER.…”

Section: A N U S C R I P Tmentioning

confidence: 99%