Reversible Watermark Using an Accurate Predictor and Sorter Based on Payload Balancing

Kang, Sang-ug

doi:10.4218/etrij.11.0111.0075

Cited by 4 publications

(6 citation statements)

References 21 publications

(44 reference statements)

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“…For small embedding capacities, numerous methods [7,15,21] have achieved performances that are more effective than that of Sachnev et al [1]; thus, the main goal of this paper is the achievement of an improved performance regarding a large capacity. For the smooth images that are rich in low-frequency components, the P2AR method of Dragoi and Coltuc [19] is more effective, whereas the use of the proposed method achieves a more effective performance regarding complex images that are rich in high-frequency components.…”

Section: Experiments Resultsmentioning

confidence: 99%

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Reversible Data Hiding Using a Piecewise Autoregressive Predictor Based on Two-stage Embedding

Lee¹,

Hwang²,

Kim³

2016

Journal of Electrical Engineering and Technology

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-Reversible image watermarking, a type of digital data hiding, is capable of recovering the original image and extracting the hidden message with precision. A number of reversible algorithms have been proposed to achieve a high embedding capacity and a low distortion. While numerous algorithms for the achievement of a favorable performance regarding a small embedding capacity exist, the main goal of this paper is the achievement of a more favorable performance regarding a larger embedding capacity and a lower distortion. This paper therefore proposes a reversible data hiding algorithm for which a novel piecewise 2D auto-regression (P2AR) predictor that is based on a rhombus-embedding scheme is used. In addition, a minimum description length (MDL) approach is applied to remove the outlier pixels from a training set so that the effect of a multiple linear regression can be maximized. The experiment results demonstrate that the performance of the proposed method is superior to those of previous methods.

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Section: Experiments Resultsmentioning

confidence: 99%

“…Numerous researchers have proposed advanced methods to improve upon the method of Sachnev et al, but they only succeeded with respect to a low embedding capacity [7,15,21]. Recently, Dragoi and Coltuc [19] proposed an advanced method that outperforms the method of Sachnev et al [1].…”

Section: Introductionmentioning

confidence: 99%

Reversible Data Hiding Using a Piecewise Autoregressive Predictor Based on Two-stage Embedding

Lee¹,

Hwang²,

Kim³

2016

Journal of Electrical Engineering and Technology

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“…That is the reason why many papers implemented embedding algorithm based on the full context rhombus predictor [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Reversible data hiding using least square predictor via the LASSO

Hwang

Kim

2016

J Image Video Proc.

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Reversible watermarking is a kind of digital watermarking which is able to recover the original image exactly as well as extracting hidden message. Many algorithms have aimed at lower image distortion in higher embedding capacity. In the reversible data hiding, the role of efficient predictors is crucial. Recently, adaptive predictors using least square approach have been proposed to overcome the limitation of the fixed predictors. This paper proposes a novel reversible data hiding algorithm using least square predictor via least absolute shrinkage and selection operator (LASSO). This predictor is dynamic in nature rather than fixed. Experimental results show that the proposed method outperforms the previous methods including some algorithms which are based on the least square predictors.

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“…Celik et al [3] proposed a lossless compression technique for carrying data. Moreover, to improve the performance, different schemes have been proposed into the typical reversible data hiding approaches [4][5][6][7][8] .…”

Section: ⅰ Introductionmentioning

confidence: 99%

“…Several reversible data hiding techniques have been introduced [1][2][3][4][5][6][7][8] . Tian [1] proposed a reversible data hiding method based on the difference expansion technique where data hiding is done in the difference of bits.…”

Section: ⅰ Introductionmentioning

confidence: 99%

New Fluctuation Functions to Measure Spatial Correlation of Encrypted Images in Reversible Data Hiding

Khanam¹,

Kim²

2017

The Journal of Korean Institute of Communications and Informati

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In this work, we propose an improved form of Zhang's reversible data hiding technique in encrypted image.In the original work, average value of neighboring pixels is used for fluctuation calculation which fails to give good performance. In proposed scheme, to reduce the bit error rate a new function is calculated by summing difference from four neighboring pixels for measuring fluctuation. Moreover, modified calculation of fluctuation function is also proposed where border pixels are considered. The simulation results show that the performance of proposed method outperforms Zhang's and Hong's work. From the results, more information can be sent by using proposed system.

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Reversible Watermark Using an Accurate Predictor and Sorter Based on Payload Balancing

Cited by 4 publications

References 21 publications

Reversible Data Hiding Using a Piecewise Autoregressive Predictor Based on Two-stage Embedding

Reversible Data Hiding Using a Piecewise Autoregressive Predictor Based on Two-stage Embedding

Reversible data hiding using least square predictor via the LASSO

New Fluctuation Functions to Measure Spatial Correlation of Encrypted Images in Reversible Data Hiding

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