An efficient image interpolation increasing payload in reversible data hiding

Lee, Chin‐Feng; Huang, Yulin

doi:10.1016/j.eswa.2011.12.019

Cited by 181 publications

(121 citation statements)

References 13 publications

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“…As shown in Fig.1, the visual qualities of these watermarked images are satisfactory. In addition, Table 1 shows the comparison results of visual quality and embedding capacity using the proposed data hiding scheme, Jung et al's scheme [6] and Lee et al's scheme [7] for two test images. According to these simulation results, the proposed data hiding scheme generates higher embedded capacity than other two schemes.…”

Section: Resultsmentioning

confidence: 99%

“…Later on, this scheme has been improved by Lee et al [7]. In [7], in order to enhance the capacity, it improved the interpolation method, using 3×3 overlapping block to embed data instead of 2×2 non-overlapping block and selected the maximum pixel among four corner pixels in each block as a pivot pixel to compute the difference of each non-pivot pixel. In this paper, a new scheme is proposed.…”

Section: Introductionmentioning

confidence: 99%

“…In general, these reversible schemes can be classified into four types: reversible data hiding using lossless compression [1][2], reversible data hiding using difference expansion (DE) [3][4], reversible data hiding using histogram shifting (HS) [5], and reversible data hiding using image interpolation [6][7].…”

Section: Introductionmentioning

confidence: 99%

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A Reversible Data Hiding Scheme Using Image Interpolation

Xiong¹

2017

Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

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Reversible data hiding scheme can completely recover the original cover image after the embedded secret data have been correctly extracted, which has become a hot topic of data hiding. However, the embedding capacities of these existing reversible data hiding schemes are usually rather limited. In this paper, an improved reversible data hiding scheme based on image interpolation technique is proposed, which can embed a large amount of secret bits into a cover image. The experimental results show that the proposed scheme can obtain better performance in terms of embedding capacity and image quality compared with other similar schemes based on image interpolation.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Reversible Data Hiding Scheme Using Image Interpolation

Xiong¹

2017

Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

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“…For example, Luo et al utilized the full-surrounded interpolation technology to compute prediction value separately and obtain prediction value with higher precision [4][5][6]. Hong and Chen reduced the embedding distortion based on image interpolation, image smoothness detection operator [7], and energy error control (EEC) when the error energy is too high [8], in which a highly accurate prediction value should be calculated firstly.…”

Section: Introductionmentioning

confidence: 99%

General Framework of Reversible Watermarking Based on Asymmetric Histogram Shifting of Prediction Error

Chen

2017

Advances in Multimedia

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This paper presents a general framework for the reversible watermarking based on asymmetric histogram shifting of prediction error, which is inspired by reversible watermarking of prediction error. Different from the conventional algorithms using singleprediction scheme to create symmetric histogram, the proposed method employs a multi-prediction scheme, which calculates multiple prediction values for the pixels. Then, the suitable value would be selected by two dual asymmetric selection functions to construct two asymmetric error histograms. Finally, the watermark is embedded in the two error histograms separately utilizing a complementary embedding strategy. The proposed framework provides a new perspective for the research of reversible watermarking, which brings about many benefits for the information security.

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“…Recent years, researchers have proposed multiple reversible data hiding algorithms. Almost all of them are based on lossless compression [2,3,4], difference expansion (DE) [5,6,7], histogram shifting [8,9,10,11], and interpolation images [12,13].…”

Section: Introductionmentioning

confidence: 99%

A Reversible Data Hiding Scheme Based on Prediction Difference

Sun¹,

Xia²,

Li³

et al. 2017

dtcse

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Abstract. In this paper, we propose a new data hiding scheme based on prediction difference. The difference between prediction value and the real value in the corresponding position of the cover image is calculated, and the secret bits are embedded into the difference. That is changing or staying the original pixel of corresponding position in the original image to embed secret bits. Experimental results indicated that our scheme provides higher PSNR value with the same payload.

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An efficient image interpolation increasing payload in reversible data hiding

Cited by 181 publications

References 13 publications

A Reversible Data Hiding Scheme Using Image Interpolation

A Reversible Data Hiding Scheme Using Image Interpolation

General Framework of Reversible Watermarking Based on Asymmetric Histogram Shifting of Prediction Error

A Reversible Data Hiding Scheme Based on Prediction Difference

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